Total 1,350 job vacancies in Singapore

This position will have responsibility for providing process support and installation of new plasma etch / clean / deposition systems at customer sites. This includes design, evaluation and documentation of process window for new installations or Lam recommended field hardware modifications / upgrades.

1. Work closely with Account team and customers to understand customer technology roadmaps, process flow, inflection points, requirements and business issues / challenges. Identify areas where Lam is able to value-add.
2. Work with Account team and customers to execute to penetration and defense strategy, including co-ordinating with Global Product Group on product demonstration
3. Perform startup of “capacity add” Lam systems i.e. match results to existing systems and applications
4. Design and complete simple DOE evaluations to characterize process window for new installations or Lam recommended field hardware modifications / upgrades
5. Conduct experiments and tests, collect and analyze data and generate reports for both internal and external distribution
6. Develop new processes to new and/or existing customer applications
7. Professionally represent the company to the customer. Utilize knowledge of company’s product lines and service to keep existing / potential customers informed when new/additional needs are identified
8. Develop good customer relations during start-up and trouble-shooting
9. Maintain company’s assigned equipment (computer, tool kit, diagnostic test equipment, spare parts etc) in good working condition, secure and accounted for
10. Ensure safe working condition at work site
11. Any other duties as assigned by the Immediate Supervisor

Job Requirements:

1. Engineering degree or Bachelor of Science (in Chemistry / Physics) or equivalent
2. Systematic and has an analytical mind
3. Good communication and interpersonal relations skill
4. Able to actively engage customers on technical solutions
5. Able to work in Fab environment and perform standby duties

This position will be responsible for providing quality repair and carrying out preventive maintenance service of etch / clean / deposition equipment at customer sites. Other activities include installation, relocation of customer equipment, performing associated start-up and check-out activities.

• Install and/or relocate equipment at customers’ sites. Conduct associated start-up, cut over and check-out activities on the newly installed systems
• Provide warranty tool support or paid service for out-of-warranty tool by performing on-site general preventive maintenance of equipment and attending to equipment abnormalities. Co-ordinate all service actions with customer to minimize downtime or system interruptions
• Apply troubleshooting techniques to eliminate equipment malfunctions. Conduct diagnostic procedures to isolate problem. Assess severity of malfunctions and determine corrective actions required or escalate for assistance and prompt resolution. When necessary, replace defective units, components or parts where appropriate
• Liaise and co-ordinate with customers in relation to short-term defect work
• Implement field modifications or updates as released in Engineering Change Orders (ECOs) which may involve removal and installation of assemblies, sub-assemblies, systems and subsystems
• Carry out Tier 2 process qualification work
• Prepare and maintain accurate logs, service records, part usage documentation, diagnostic updates and other management reports
• Professionally represent the company to the customer. Utilize knowledge of company’s product lines and services to keep existing / potential customers informed when new/additional needs are identified
• Develop good customer relations during installation and execution of service contracts
• Maintain company’s assigned equipment (computer, tool kit, diagnostic test equipment, spare parts etc) in good working condition, secure and accounted for
• Ensure safe working condition at work site
• Any other duties as assigned by the Immediate Supervisor

Job Requirements

• Engineering degree or equivalent
• Good communication and interpersonal relations skill
• Able to actively engage customers on technical solutions
• Able to work in Fab environment and perform shift & standby duties
• Must be able to wear personal protective clothing which comprises of air respirator equipment, clean room garments and safety shoes
• Willing to support short term, overseas assignment

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. We are looking for a Project Officer to develop intelligent detection and picking methods of extracting weak yet coherent signals from 2D acoustic or seismic recordings.

Key Responsibilities:

• Develop and apply innovative 2D seismic phase picking methods

• Extract seismic phases for enhancing practical findings

• Publish high-impact research articles in leading international journals

• Assist in the preparation and development of competitive research proposals

• Support the supervision and mentoring of undergraduate students

Job Requirements

• Bachelor’s degree in exploration seismology, applied geophysics, or related field

• At least 2 years of relevant experience in geophysical signal processing

• Familiarity with related literature and software

• Good written and oral communication skills

• Entry level candidates are welcome to apply

We regret to inform that only shortlisted candidates will be notified.

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are looking for a Research Fellow to advance MOF‑based electrochemical and CO2 removal research. The role will focus on:

• Electrochemical process on interface phenomena

• MOF synthesis, testing under different conditions

• Simulation of scaled up process.

• Interface with machine learning group on database set up

• CO2 removal process

Key Responsibilities:

• Electrochemical process on interface phenomena

• MOF synthesis, testing under different conditions

• Simulation of scaled up process.

• Interface with machine learning group on database set up

• CO2 removal process

Job Requirements:

• Candidates with strong background in Materials chemistry/Physical chemistry

• Experience with MOF synthesis, energy storage system or electrochemical system

• PhD in Chemistry/Materials Science/Physics

• Encourage initiating activities on MOF development, devising, and analytical process

• Experience in machine learning will be preferred

• Good oral and written communication skills

• Candidates with strong publication/patent records will be preferred

We regret to inform that only shortlisted candidates will be notified.

Position Overview:

Black Sesame Technologies is a rapidly expanding artificial intelligence company backed by substantial VC funding, dedicated to pioneering algorithms and chips for artificial intelligence and image processing. As a Research Scientist in this role, you will collaborate closely with leading researchers to forge cutting-edge perception algorithms aimed at tackling real-world challenges in autonomous driving and beyond. The primary focus of perception is to identify and comprehend the surrounding environment of autonomous vehicles, supporting L2 and L3 automated driving capabilities. This involves constructing a real-time virtual representation of the local environment by processing input data predominantly from cameras, alongside data from complementary sensors such as radars, IMU, and ultrasonic sensors.

Job Description:

• Develop deep learning-based perception algorithms encompassing object detection, lane detection, segmentation, depth estimation, and other related tasks.
• Innovate state-of-the-art network architectures and training methodologies, assessing their efficacy in addressing vision-related challenges.
• Execute deep network compression tailored for ASIC platforms.
• Stay abreast of the latest advancements in deep learning and computer vision literature, proactively proposing novel concepts.
• Contribute to patent and research paper publications.

Job Requirements:

- Master Degree/ PhD in Computer Science, electrical engineering, or a related field.

- Possess 3+ years of experience in computer vision / machine learning development.

- Demonstrated expertise in research and development within one or more of the following domains:

• Deep network development, particularly with visual data.
• Object detection and tracking.
• Stereo / optical flow / depth estimation.
• Multi-view geometry and 3D computer vision.
• Structure from motion.
• Network compression and optimization.
• Network-based sensor fusion.
• Mathematical optimization.
• Proficient programming skills in Python (knowledge of C++ is advantageous).

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Senior-Research-Fellow-%28Biomaterials%29/32471-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a highly motivated individual with a passion for medical research to oversee the development of a novel non-adherent traumatic wound dressing. The candidate will work with a team of business development managers, regulatory specialists, and manufacturing engineers to prepare the product for commercialization. This will involve the robust characterization of the product for its mechanical, biocompatibility, procoagulant and wet adhesive properties, among others. The study will involve a broad range of in vitro testing following industry standards, alongside large animal validation studies (non-GLP and GLP, non-survival and survival). Other duties include the management of the laboratory (safety and logistics), supervision of students (undergraduate and graduate) and contribution to research grants preparation.

Qualifications

•    Possess a PhD in Biomedical Engineering, Materials Science and Engineering, or equivalent.
•    Preferably with 5 years of postdoctoral experience in a relevant research field.

The following skills are a requisite:
o    Biomaterial development, which may include mechanical processing, chemical synthesis, additive manufacturing or microfabrication (or other relevant techniques)
o    Material characterization and testing (mechanical, biocompatibility, surface chemistry, electron microscopy)
o    Blood handling, processing and characterization (biochemistry, biophysics, histology, etc.)
o    Familiar with animal study design, execution and associated administrative procedures
o    Familiar with laboratory management and operations (safety, procurement, documentation, etc.)

•    Experience and expertise in thrombosis biology and molecular biology will be an advantage.
•    Good written and spoken communication skills.
•    Open to fixed-term contract.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) distinguishes itself through research excellence directed towards outcomes of industry relevance, with focus on systems-level research for tropical megacities. The Institute integrates research across NTU in the context of the energy challenge and then helps translate outcomes into industry and practice.

The Institute’s research focuses on a host of Interdisciplinary Research Programmes, Flagship Programmes, Consortium Platform and an Accelerator Programme that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialization and deployment.

ERI@N is committed to enable knowledge creation and technology transfer by building strong alliances with government agencies, leading industry players and SMEs and global universities to support Singapore’s national objectives. These collaborations are ratified in part through the development of green buildings, renewable energy deployment, grid management systems, proliferation of energy efficient solutions, creation of a “car-lite” society, digitalization of the energy system enabling a ubiquitous smart grid architecture and establishing low carbon districts.

As a leading Institute that is equipped with a wide range of skillsets and expertise in Science, Engineering, Technology, Policy and Social Science that contributes to a vibrant, multidisciplinary and collaborative research environment, ERI@N strives to achieve our mission for distinction and contribute to National aspirations for a Smart and Sustainable Nation.

For more details, please view https://www.ntu.edu.sg/erian

This Candidate will be working on a tidal project gaining hands on experience with drivetrain development, control system design, electrical machine health monitoring and other electrical circuits. He will be working with team to both develop initial lab level prototypes as well as systems for real field applications.  An ideal candidate for this position will have both a fundamental understanding of Power systems, Power Electronic Converters (AC and DC), Computer Control Systems, PLC Programming, Modelling of Electrical Drives, Electric Actuators, Closed loop Speed/Position Control of Electrical Drives, Electrical Machine Design and the ability to build lab level prototypes and real field systems.

Key Responsibilities:

• Design of power system facilities and equipment and coordinate construction, operation, and maintenance of electric power generating systems in tidal turbine electrical drive trains.

• Apply knowledge of electric utility power systems to assist the team with performing detailed analysis on electric infrastructure and provide solutions in the areas of distributed generation integration, smart grid implementation, and micro grid implementation.

• Experience in electrical schema/architecture designs including layout, assembly, testing and troubleshooting.

Job Requirements:

• Possess a master’s degree in electrical/Power engineering or any related or advanced degree preferred.

• Good knowledge of Matlab/Simulink modelling, control system design and PLC programming.

• Knowledge of electrical machine health monitoring is required.

• A hands-on attitude towards Electrical machines like Generators, Motors and other relevant devices

We regret to inform that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Quantitative%29/24918-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant

We are looking for research assistants with a quantitative background for ongoing research in Public Health.

They will be working within the team under the Principal Investigator Assistant Professor Borame Dickens alongside multiple collaborators and experts.

Methods include agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in both infectious and chronic disease, measuring the impact of interventions.

Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R.

The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer statistical relationships and health outcomes. Further mathematical modelling will also be carried out when necessary involving diagnostic flows and where appropriate, disease spread and/or illness progression.

The Principal Investigator(s) is seeking for an independent worker who is well-organized, analytical and codes competently. They will however be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications.

We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities:

• Disease modelling
• Statistical analyses
• Academic writing and publication of results
• Preparation of meeting materials for stakeholders

Requirements:

• Completed a BSc in a quantitative discipline (statistics, mathematics, computational biology, data science).
• Strong programming skills (R preferred)
• Statistical competence (Bayesian is advantageous)

Please email the PI at ephdbsl@nus.edu.sg for further details/

The School of Social Sciences (SSS) at Nanyang Technological University, Singapore (NTU) invites suitable applications for the position of Research Assistant (Psychology/Education) on a 24-month contract basis, renewable subject to performance and project needs.

Project Title: Profiling Academic Trajectories and Heterogeneity of Low-Progress Learners for Enhancing Learning Support (PATHS)

Project Introduction: The PATHS study is a Ministry of Education (MOE)-funded longitudinal investigation tracking 500–600 Primary 1 students enrolled in the Learning Support Programme (LSP) and/or Learning Support for Mathematics (LSM) across 20+ Singapore primary schools. Using person-centred analytic models, the study identifies heterogeneous learner subgroups across cognitive, literacy, mathematical, and socio-emotional domains, and examines how these profiles evolve and predict academic outcomes. Findings will inform more targeted, evidence-based support for low-progress learners.

The Research Assistant will support the day-to-day implementation of this large-scale study under the supervision of the Principal Investigator.

Key Responsibilities:

• Liaise with participating primary schools and coordinate day-to-day research operations

• Administer psychoeducational assessments and experimental tasks one-to-one with students

• Distribute, collect, and track parent and teacher questionnaires

• Maintain research records; support data entry, cleaning, and quality checking

• Assist with ethics documentation, literature searches, research reports, and stakeholder materials

• Train and coordinate part-time student research assistants during data collection

• Perform administrative and procurement tasks as required by the Principal Investigator

Job Requirements:

Essential:

• Bachelor's degree in Psychology, Education, Child Development, Sociology, or a related field

• Strong interpersonal and communication skills; good command of spoken and written English - essential for data analysis and communication with stakeholders

• Well-organised, self-motivated, and able to meet deadlines; willing to travel to school sites

• Proficient in Microsoft Office (particularly Excel and Word)

Preferred:

• Prior experience administering psychometric or psychoeducational assessments to children

• Experience conducting school-based research or working with young children (Primary 1–3 level)

• Familiarity with statistical software (e.g., SPSS/jamovi/JASP, R) and data management

We regret that only shortlisted candidates will be notified.

About Guidepoint

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.5 million experts, and Guidepoint’s 1,300 employees worldwide we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

What You’ll Do:

• Serve as the main point of contact responsible for the day-to-day relationship and service delivery for our clients.
• Fulfill all client requests across all sectors by utilizing the Experts in the company database and project management tool, and custom recruiting resources.
• If industry knowledge and expertise is needed to fulfill the project, coordinate with the Vertical Manager/Subject Matter Expert to better understand the scope of the project to identify companies and job functions that can fulfill the project requirements.
• Coordinate and work with a team of Associates to execute on requests for clients who are conducting research and due diligence on industry trends, market opportunities, new products and technologies, and more
• Weekly meeting to review client accounts to make sure performance meets expectations project management.
• Work closely with the Business Development teams to optimize your clients’ use of Guidepoint’s services.
• Participate in client on-boarding calls to explain workflows and understand client preferences regarding Expert backgrounds, proposed lists, and call scheduling.
• Work with other members in the team to provide industry guidance for projects.

WHAT YOU’LL HAVE:

• Bachelor’s degree and strong academic record required
• Fluency in English
• 2 to 3 years of work experience in total, related to consulting and strategic analysis, HR search, account and service management, equity research, or market research to cover various industry sectors is highly preferred
• High proficiency with web research and knowledge of niche websites
• Outgoing personality with the ability to speak with people at all professional levels
• Excellent priority management and ability to work within tight deadlines
• Excellent written and verbal communication skills
• Ability to think creatively and focus on opportunities for growth
• Desire to work in a fast-paced, entrepreneurial environment
• Initiative and ability to handle increasing responsibility over time

What We Offer:

• Competitive compensation
• Group medical insurance coverage and dental benefits
• Gym benefits
• Casual, multicultural work environment
• Central office location

About Guidepoint

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.5 million experts, and Guidepoint’s 1,300 employees worldwide we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. We are looking for a Research Fellow to develop innovative geophysical imaging methods and applying it to underground exploration and relevant disciplinaries

Key Responsibilities:

• Develop novel imaging algorithms and validate them through synthetic experiments

• Extend these methods to real-world experiments to address practical challenges

• Publish high-impact research articles in leading international journals

• Assist in the preparation and development of competitive research proposals

• Support the supervision and mentoring of undergraduate and graduate students

Job Requirements:

• PhD’s degree in exploration seismology, applied geophysics, or related field

• At least 3 years of relevant experience in geophysical modeling and inversion

• Familiarity with related literature and software

• Good written and oral communication skills

• Entry level candidates are welcome to apply

We regret to inform that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Biological-Sciences%29/32448-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Prof. Ryan Chisholm under the project “Advancing population viability analysis for an increasingly variable world”. The candidate’s role in the project will involve estimating the population size of pangolins in Singapore and modelling the population’s future trajectory. The ideal candidate will have experience programming in R and will be passionate about mammal conservation in Singapore. The position will be for one year.

Qualifications

Degree in Life Sciences or related field.

Skills:
Literature review, data analysis, programming in R.

Experience:
Previous experience with modelling wildlife population is desirable but not essential

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Mechanobiology-Institute%29/32446-en_GB/?st=2BEE3E975B56E1CC0656038B6C6B070EF3DB1ED2

We regret that only shortlisted candidates will be notified.

Job Description

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

We are seeking a highly motivated and skilled Research Fellow to join our multidisciplinary team investigating the biophysical and mechanochemical properties of signalling proteins on 3D shaped membranes. The successful candidate will work at the interface of membrane biophysics, cell signalling, and nanofabrication-based membrane curvature control, contributing to a broader effort to understand how membrane environment regulates protein activation and signalling at the cellular and molecular levels.

Responsibilities will include:

• Leading independent and collaborative research on curvature-regulated protein activation and signaling on membranes
• Developing and applying nanofabricated platforms (e.g., nanopillars, nanobars, nanorings) to probe membrane curvature effects
• Performing in vitro reconstitution (e.g., supported lipid bilayers, phase separation systems) and live-cell assays (e.g., T cell signaling)
• Utilizing advanced imaging techniques (e.g., confocal, TIRF, SIM, STED) and quantitative image analysis
• Building and implementing computational pipelines for image quantification and biophysical analysis
• Contributing to high-impact publications, grant writing, and mentoring of junior researchers

Qualifications

• PhD in Biophysics, Molecular Biology, Biomedical Engineering, or a closely related field.
• Strong background in membrane protein biochemistry, membrane biophysics, membrane modulation (ideally magnetic tweezer and micropipette manipulation), or single-molecule techniques.
• Experience with reconstitution of proteins into model membranes (e.g., liposomes, GUVs, supported bilayers) is highly desirable.
• Excellent problem-solving, communication, and organizational skills.
• Proven track record of peer-reviewed publications.

The School of Social Sciences (SSS) at Nanyang Technological University, Singapore (NTU) invites suitable applications for the position of Research Fellow (Psychology/Education) on a 24-month contract basis, renewable subject to performance and project needs.

Project Title: Profiling Academic Trajectories and Heterogeneity of Low-Progress Learners for Enhancing Learning Support (PATHS)

Project Introduction: The PATHS study is a Ministry of Education (MOE)-funded longitudinal investigation tracking 500–600 Primary 1 students enrolled in the Learning Support Programme (LSP) and/or Learning Support for Mathematics (LSM) across 20+ Singapore primary schools. Using person-centred analytic models, the study identifies heterogeneous learner subgroups across cognitive, literacy, mathematical, and socio-emotional domains, and examines how these profiles evolve and predict academic outcomes. Findings will inform more targeted, evidence-based support for low-progress learners.

The Research Fellow will lead day-to-day project operations, manage the research team, oversee data collection and analysis pipelines, and contribute to research outputs, under the supervision of the Principal Investigator, and in close collaboration with Co- Principal Investigator s at NTU, NIE, and MOE.

Key Responsibilities:

• Lead project coordination across schools and multiple institutional stakeholders across four data collection waves

• Liaise with MOE, school principals, Co- Principal Investigators, and an international consultant; contribute to study materials and data management systems

• Prepare and update ethics applications

• Oversee participant recruitment

• Supervise Research Assistants and part-time student assistants in administering psychoeducational assessments

• Develop and execute quantitative data analysis pipelines (Mplus, R)

• Prepare research progress reports, policy briefs, presentations, and manuscripts for peer-reviewed journals

• Perform administrative and procurement tasks as required by the Principal Investigator

Job Requirements:

Essential:

• PhD in Psychology or a closely related field from a university of good standing

• Strong quantitative skills with knowledge of advanced statistical methods; proficiency in Mplus, R, and SPSS/jamovi/JASP

• Experience preparing ethics documentation and managing multi-site, school-based research

• Excellent written and spoken English; ability to prepare manuscripts and stakeholder reports to a high standard - essential for data analysis and communication with stakeholders

• Strong leadership and supervisory skills; self-directed and able to manage competing priorities

Preferred:

• Familiarity with psychoeducational assessment instruments used with young children

• Prior experience conducting school-based research, particularly with Primary-level students

• Track record of peer-reviewed publications

• Knowledge of Singapore's primary education system is an advantage

We regret that only shortlisted candidates will be notified.

We are seeking a Research Fellow to join a university-level research centre collaborating with industry. The role will be involved in a project that is related to object detection.

Key Responsibilities:

• To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in machine learning and computer vision. Prior experience in data-efficient classification, synthesis, and detection is preferable.
• Strong publication records in top-tier machine learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICLR, ICCV, ECCV, NeurIPS, ICML.
• Strong coding skills in scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• Strong background in R&D with self-motivation and initiative. Ability to develop and manage R&D projects with good understanding of industrial needs.
• Strong research and technical expertise in the project domain, including experimental design, modelling methods, prototype system engineering, and laboratory work, with a demonstrated ability to conduct innovative and hypothesis-driven research.
• Collaborative and supervisory capabilities, including assisting in postgraduate supervision, initiating multidisciplinary research collaborations, and overseeing and reporting project progress.

We regret to inform that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Scientist-%28A%29-%28Antenna%29/32449-en_GB/?st=BB5F61A45E99383B7A1DDAC3181814DE48961399

We regret that only shortlisted candidates will be notified.

Job Description

Applicants are invited for the position of Research Scientist to participate in research on high-performance antennas.

A successful candidate is required to be engaged in research on high-performance antennas.

Qualifications

The applicant should possess the following:

• Doctoral degree in electromagnetic-related field. (Candidates who have submitted PhD thesis are welcome to apply.)
• Experience in antenna and microwave circuit designs.
• Proficiency in using HFSS or CST for modeling and simulation, and VNA for measurement is required.
• Ability to work independently and good communication skills are essential.

Only shortlisted candidates will be contacted.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Quantitative%29/32455-en_GB/?st=62AB6BB745B72DCB57CD58FD3DC1A95BEA2FBF0E

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant

We are looking for research assistants with a quantitative background for ongoing research in Public Health.

The successful candidate will be working within the team under the Principal Investigator Assistant Professor Akira Endo, collaborating closely with multiple experts.

Methods include renewal process, network transmission modelling, machine learning and Bayesian inference, particularly in the context of epidemiology and dynamics of respiratory, sexually transmitted, and tick-borne infections.

Candidates should have a solid understanding of infectious disease dynamic modelling and statistical modelling, with a sufficient background in public health, mathematics, and data science. Proficiency in R programming is essential, and we will also appreciate candidates with extensive coding knowledge of C++, Python, or Julia.

The candidate will be working with the Principal Investigator(s) on the analysis of predicting future trajectories of epidemics and assessing the potential impacts of response strategies using a range of modelling frameworks, including mathematical, statistical, and machine-learning approaches.

The Principal Investigator(s) is seeking an independent worker who is well-organised, analytical and codes competently. They will, however, be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications.

We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities:

• Infectious disease modelling
• Statistical analyses
• Stochastic processes
• Academic writing and publication of results
• Preparation of meeting materials for stakeholders

Requirements:

• Completed an MSc in a quantitative discipline (statistics, mathematics, computational biology, data science)
• Extensive experience in data science research and experience in leading at least one quantitative health-related research project
• Strong programming skills (at least one of R/Python/Julia)
• Statistical competence (understands and can perform likelihood-based inference, ideally including Bayesian)

Please email the PI at aendo@nus.edu.sg for further details.

Roles and Responsibilities:

The Middle School Lead Teacher is responsible for maximizing student learning and development through the planning, preparation, and teaching of comprehensive educational programs that meetstudents' individual learning needs and achieve specific student outcomes. They foster academic growth, social development, and critical thinking skills while creating an inclusive learning environment that supports students' holistic development.

Develop and Implement Curriculum:

• Design and deliver a comprehensive, age-appropriate curriculum that aligns with school standards and educational goals and is in line with the science of learning.
• Teach English & humanities, adapting instruction to meet the diverse needs of students.
• Incorporate a variety of instructional strategies, including hands-on activities, group work, and project-based learning, to engage students and promote critical thinking.

Create a Positive and Inclusive Classroom Environment:

• Foster a supportive, safe, and inclusive classroom where all students feel valued and respected.
• Establish clear expectations for behavior, classroom routines, and academic goals, creating a structured and nurturing environment.
• Promote social-emotional learning, helping students build essential skills such as empathy, collaboration, and self-regulation.

Assess Student Progress and Provide Feedback:

• Regularly assess students’ academic progress through formal and informal assessments, including tests, quizzes, projects, and observations.
• Provide constructive, timely, and personalized feedback to students to help them understand their strengths and areas for improvement.
• Use data from assessments to adjust teaching strategies and support individual learning needs.

Differentiate Instruction to Meet Student Needs:

• Tailor lessons to accommodate diverse learning styles, abilities, and backgrounds, ensuring that each student has the opportunity to succeed.
• Modify assignments, assessments, and classroom activities for students with varying levels of understanding and those with special needs.
• Provide additional support for students who need extra help and offer enrichment opportunities for advanced learners.

Support Social and Emotional Development:

• Support the development of students' social-emotional skills, including conflict resolution, communication, and self-awareness.
• Foster positive relationships among students through team-building exercises, class discussions, and cooperative learning activities.
• Help students set personal goals, track their progress, and celebrate achievements to build confidence and motivation.

Collaborate with Other Teachers and Staff:

• Work closely with other teachers, EAL (English as an Additional Language) instructors, and subject-specific teachers to support students' individual needs.
• Participate in school-wide initiatives and collaborate with other teachers to plan interdisciplinary projects or school events.
• Attend meetings with school leadership, counselors, and other staff to discuss students’ academic, social, and emotional progress.

Communicate with Parents and Caregivers:

• Regularly update parents on their child's academic progress, behavior, and overall well-being through newsletters, emails, and parent-teacher conferences.
• Maintain open lines of communication with parents to address concerns, provide updates, and collaborate on strategies to support student learning at home.
• Provide parents with resources and suggestions to help their children with homework, studying, and personal development.

Manage Classroom Behavior and Foster PositiveRelationships:

• Establish clear classroom rules and routines to maintain order and encourage positivebehavior.
• Use positive reinforcement techniques to motivate students and promote a positive learning environment.
• Address behavioral issues in a constructive manner, using conflict resolution strategies and involving students in discussions about appropriate behavior.

Plan and Supervise Field Trips andExtracurricular Activities:

• Organize and supervise field trips, school events, and extracurricular activities that enhance students' learning experiences and provide real-world connections to classroom content.
• Ensure that activities are educational, engaging, and safe for students.
• Communicate with parents about upcoming trips and volunteer opportunities to ensure participation and support.

Create and Maintain Classroom Materials andResources:

• Organize and maintain classroom supplies, materials, and resources to ensure a well-prepared learning environment.
• Prepare visual aids, bulletin boards, and learning stations that support student engagement and enhance classroom instruction.
• Maintain student records, including grades, attendance, and progress reports, in an organized and accessible manner.

Engage in Professional Development:

• Participate in professional development opportunities to stay current with best practices in teaching, curriculum development, and classroom management.
• Attend workshops, conferences, and seminars to learn new teaching strategies, educational technologies, and methods for supporting diverse learners.
• Collaborate with colleagues to share knowledge, resources, and strategies that improve teaching and student outcomes.

Support School Community and Culture:

• Actively participate in school events, activities, and committees that promote school spirit and community engagement.
• Serve as a role model for students by demonstrating respect, responsibility, and commitment to the school community.
• Foster positive relationships with colleagues, students, and parents, contributing to a collaborative and welcoming school environment.

Qualifications and Experience:

• A recognized bachelor's degree in teaching, education or related field of study (English/History) with recognized teaching credential.
• A minimum of three years successful full-time teaching experience in a K-12 school.
• International school teaching experience preferred.
• Curriculum and program development knowledge preferred.
• Excellent verbal and written skills.
• Familiarity with cognitive science-based teaching and learning is an advantage.
• Passionate about helping students to learn and grow.
• Able to make decisions in the best interests of children.
• Sound EQ, empathy and a strong understanding of self.
• Excited about working collaboratively in a learning-focused team.
• Possess a learning and growth mindset.
• Internationally minded and accepting of all people regardless of age, gender, sexual persuasion, culture or language.
• Creative and innovative in ideas and outlook.
• Sense of humor.
• Adaptable and flexible to the needs of colleagues, students, school and self.

Roles and Responsibilities:

Teaching & Learning Assistants (TLA) play a vital role in supporting the educational and emotional development of learners. Your responsibilities are diverse and essential for creating an effective environment focused on learning and growth.

You will play a pivotal role in shaping, not only, the educational experiences of our learners, but also the teaching, learning and collaborative culture of our school. Your responsibilities align with our commitment to redefine teaching and learning and our need to be innovative in our approach, process and application.

You will work collaboratively with all members of the learning community while keeping the leaners’ growth and development at the forefront of what you do.

JOB RESPONSIBILITIES

Classroom Support:

• Support the lead educator in delivering learning experiences by helping to prepare materials, setting up equipment, and managing classroom resources.
• Provide one-on-one or small group assistance to learners who may need extra help with their learning, ensuring that all learners can access and engage.

Student Engagement:

• Motivate learners to engage in classroom experiences and foster a positive learning environment.
• Observe and track learner progress, providing feedback to lead educators about individual learner needs and their achievements.

Learning Environment Management:

• Help maintain a calm and orderly learning environment by implementing strategies as directed by the lead educator.
• Assist in resolving conflicts among learners and support them in developing social skills.

Administrative Duties:

• Assist with maintaining learning records, including attendance, assessment results, and reports.
• Help prepare teaching materials and resources for learning, ensuring that everything is ready for effective instruction.

Safeguarding Responsibilities:

• Be vigilant about the safety and well-being of learners, recognizing signs of distress or abuse, and reporting concerns to the designated safeguarding lead (DSL).
• Contribute to creating a safe and supportive learning environment where learners feel comfortable expressing themselves.

Collaboration:

• Collaborate with teaching team and other staff members to plan lessons and share insights about learner progress.
• Occasionally assist in communicating with parents regarding their child's progress or any concerns that may arise.

Continuous Professional Development:

Engage in ongoing professional development opportunities to enhance skills related to teaching practices, child development, and safeguarding protocols.

REQUIREMENTS

Qualifications and Experience:

• Minimum Diploma holder or equivalent in Early Childhood Education, Special Education, Counselling, Psychology or related field.
• Minimum 2 years' work experience within a school setting
• Excellent verbal and written English skills.
• Familiarity with cognitive science-based teaching and learning an advantage.
• Passionate about helping students to learn and grow.
• Able to make decisions in the best interests of children.
• Sound EQ, empathy and a strong understanding of self.
• Excited about working collaboratively in a learning-focused team.
• Possess a learning and growth mindset.
• Internationally minded and accepting of all people regardless of age, gender, sexual persuasion, culture or language.
• Creative and innovative in ideas and outlook.
• Sense of humor.
• Adaptable and flexible to the needs of colleagues, students, school and self.

At RD American School, you’ll be part of a forward-thinking team shaping the future of education. You’ll have the opportunity to innovate, lead, and make a meaningful impact on learners and families across the region.

Sector

Pharmaceutical / Life Sciences / Operations

Employment Type

Contract (6 Months, Extendable)

Job Summary

Support project management teams in coordinating clinical trial projects from initiation to completion. This role involves client communication, documentation, and operational tracking to ensure smooth project delivery.

Key Responsibilities

• Coordinate project timelines and track progress to ensure timely delivery
• Support project documentation, reports, and meeting minutes
• Liaise with clients and internal teams to ensure smooth communication
• Monitor inventory, materials, and project requirements
• Support system updates and project tracking (e.g. data entry, reporting)
• Assist in resolving project issues and invoice discrepancies
• Support KPI tracking and project performance reporting
• Assist in SOP updates and process improvements

Requirements

• Diploma / Degree in Life Sciences, Business, or related field
• Experience in project coordination / operations is an advantage

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026  

Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Sales Engineer (Process Analytics)

Sector: Industrial / Engineering Sales
Employment Type: Permanent

This role focuses on business development and solution selling within the industrial sector. You will work with customers to understand their needs, present technical solutions, and grow long-term partnerships.

Key Responsibilities:

• Prospect and generate new business leads
• Build and maintain strong relationships with customers
• Conduct product demonstrations, seminars, and technical presentations
• Prepare sales proposals and negotiate contracts
• Achieve monthly and annual sales targets
• Meet weekly sales activity targets
• Collaborate with marketing on sales strategies and campaigns
• Monitor industry trends and provide market feedback
• Participate in trade shows and industry events

Requirements:
Degree in any of these courses can be considered :

• Engineering ( Mechanical / Electrical / Electronic )
• Biomedical Science /Life Science
• Lab related
  

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:
Whatsapp: https://wa.me/+6597430026  
Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122
Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

ROLE
The Middle School Lead Teacher is responsible for maximizing student learning and development through the planning, preparation, and teaching of comprehensive educational programs that meet students' individual learning needs and achieve specific student outcomes. They foster academic growth, social development, and critical thinking skills while creating an inclusive learning environment that supports students' holistic development.

JOBRESPONSIBILITIES

Develop and Implement Curriculum:

• Design and deliver a comprehensive, age-appropriate curriculum that aligns with school standards and educational goals and is in line with the science of learning.
• Teach Mandarin, adapting instruction to meet the diverse needs of students.
• Incorporate a variety of instructional strategies, including hands-on activities, group work, and project-based learning, to engage students and promote critical thinking.

Create a Positive and Inclusive Classroom Environment:

• Foster a supportive, safe, and inclusive classroom where all students feel valued and respected.
• Establish clear expectations for behavior, classroom routines, and academic goals, creating a structured and nurturing environment.
• Promote social-emotional learning, helping students build essential skills such as empathy, collaboration, and self-regulation.

Assess Student Progress and Provide Feedback:

• Regularly assess students’ academic progress through formal and informal assessments, including tests, quizzes, projects, and observations.
• Provide constructive, timely, and personalized feedback to students to help them understand their strengths and areas for improvement.
• Use data from assessments to adjust teaching strategies and support individual learning needs.

Differentiate Instruction to Meet Student Needs:

• Tailor lessons to accommodate diverse learning styles, abilities, and backgrounds, ensuring that each student has the opportunity to succeed.
• Modify assignments, assessments, and classroom activities for students with varying levels of understanding and those with special needs.
• Provide additional support for students who need extra help and offer enrichment opportunities for advanced learners.

Support Social and Emotional Development:

• Support the development of students' social-emotional skills, including conflict resolution, communication, and self-awareness.
• Foster positive relationships among students through team-building exercises, class discussions, and cooperative learning activities.
• Help students set personal goals, track their progress, and celebrate achievements to build confidence and motivation.

Collaborate with Other Teachers and Staff:

• Work closely with other teachers, EAL (English as an Additional Language) instructors, and subject-specific teachers to support students' individual needs.
• Participate in school-wide initiatives and collaborate with other teachers to plan interdisciplinary projects or school events.
• Attend meetings with school leadership, counselors, and other staff to discuss students’ academic, social, and emotional progress.

Communicate with Parents and Caregivers:

• Regularly update parents on their child's academic progress, behavior, and overall well-being through newsletters, emails, and parent-teacher conferences.
• Maintain open lines of communication with parents to address concerns, provide updates, and collaborate on strategies to support student learning at home.
• Provide parents with resources and suggestions to help their children with homework, studying, and personal development.

Manage Classroom Behavior and Foster Positive Relationships:

• Establish clear classroom rules and routines to maintain order and encourage positive behavior.
• Use positive reinforcement techniques to motivate students and promote a positive learning environment.
• Address behavioral issues in a constructive manner, using conflict resolution strategies and involving students in discussions about appropriate behavior.

Plan and Supervise Field Trips and Extracurricular Activities:

• Organize and supervise field trips, school events, and extracurricular activities that enhance students' learning experiences and provide real-world connections to classroom content.
• Ensure that activities are educational, engaging, and safe for students.
• Communicate with parents about upcoming trips and volunteer opportunities to ensure participation and support.

Create and Maintain Classroom Materials and Resources:

• Organize and maintain classroom supplies, materials, and resources to ensure a well-prepared learning environment.
• Prepare visual aids, bulletin boards, and learning stations that support student engagement and enhance classroom instruction.
• Maintain student records, including grades, attendance, and progress reports, in an organized and accessible manner.

Engage in Professional Development:

• Participate in professional development opportunities to stay current with best practices in teaching, curriculum development, and classroom management.
• Attend workshops, conferences, and seminars to learn new teaching strategies, educational technologies, and methods for supporting diverse learners.
• Collaborate with colleagues to share knowledge, resources, and strategies that improve teaching and student outcomes.

Support School Community and Culture:

• Actively participate in school events, activities, and committees that promote school spirit and community engagement.
• Serve as a role model for students by demonstrating respect, responsibility, and commitment to the school community.
• Foster positive relationships with colleagues, students, and parents, contributing to a collaborative and welcoming school environment.

REQUIREMENTS

• A Bachelor's degree in Mandarin Language and Literature from an established University.
• At least four years of full-time teaching experience in teaching Mandarin Language in a K-12 school.
• International school teaching experience preferred.
• Curriculum and program development knowledge preferred.
• Excellent verbal and written skills in English and Mandarin.
• Familiarity with cognitive science-based teaching and learning is an advantage.
• Passionate about helping students to learn and grow.
• Able to make decisions in the best interests of children.
• Sound EQ, empathy and a strong understanding of self.
• Excited about working collaboratively in a learning-focused team.
• Possess a learning and growth mindset.
• Internationally minded and accepting of all people regardless of age, gender, sexual persuasion, culture or language.
• Creative and innovative in ideas and outlook.
• Sense of humor.
• Adaptable and flexible to the needs of colleagues, students, school and self.

At RD American School, you’ll be part of a forward-thinking team shaping the future of education. You’ll have the opportunity to innovate, lead, and make a meaningful impact on learners and families across the region.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Digital-Twin-FOWT%29/32459-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The research aims to develop an online framework for assessing fatigue, structural integrity, and operability of multiple floating offshore wind turbines, supported by computationally efficient learning algorithms with predictive (prognostic) capabilities. The system enables prescriptive decision-making that can be integrated with operation and maintenance strategies. The research staff will work in a multi-disciplinary team on the engineering analysis and design of the floating offshore wind turbine supporting structures, with close collaboration with members from other research institutes in Singapore. 

He/ she will be required to:
-    Develop computationally efficient learning algorithm adaptable for online fatigue and integrity assessment, which includes prognosis approach for predictive analytics.
-    Develop prescriptive fatigue and integrity assessments integrable with operation/maintenance strategy.
-    Coordinate research progress with other research teams in the entire research team

Job Requirements

•    Applicants should have a PhD degree in civil or mechanical engineering or related disciplines 
•    Possess fundamental knowledge in fatigue and fracture, structural integrity assessments and data driven machine learning algorithms.
•    Has laboratory experience in designing, conducting, and instrumenting structures. 
•    Strong written and spoken communications. 
•    Open to fixed-term contract

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

We are looking for a Research Associate to support the research progress on Perovskite quantum dots for their implementation in light-emitting devices

Key Responsibilities:

• Collaborate with the materials and device team

• Development of Infrared emitting Quantum Dots (QDs)

• Development of Optoelectronics devices based on QDs

• Synthesis of novel Perovskite low-dimensional systems such as QDs and nanowires.

• Optical and electrical characterization methodologies.

• Operation, maintenance, and diagnosis of the chemistry lab and other simple laboratory instruments used.

• Supervise undergraduate students

Job Requirements:

• Possess a Bachelor's/ Master's degree in Physics/ chemistry/engineering or related disciplines.

• Experience in advanced laboratory experience in thermal evaporation

• Experience in advanced laboratory methods for the fabrication and analysis of solar cells

• Experience in Perovskite materials and optoelectronic devices

• Expert in Perovskite nanostructured synthesis. 

• Good interpersonal skills.

• Excellent teamwork awareness.

• Good communication and writing in English - essential for data analysis and communication with stakeholders

• Strong responsibility for research/work

We regret to inform that only shortlisted candidates will be notified.

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies.

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, “Cluster 6. Climate and Human Health”, will predict the future impacts of climate change on human health.

The Research Fellow will work with the PI of the Climate and Human Health cluster, Assoc Prof Konstadina Griva, based in the Lee Kong Chian School of Medicine, and will lead several projects related to public perceptions of climate change and health, and health communication strategies in the context of climate change.

Key Responsibilities:

• Literature searches and manuscript preparation
• Data collection using mixed methodology
• Statistical analyses and evidence synthesis
• Drafting of progress report(s) and final research report
• Research publications and presentations, and dissemination of the results
• Administrative work associated with the program of research as necessary

Job Requirements:

• PhD degree in psychology, social sciences, or health-related disciplines
• Demonstrate solid foundation in statistical analysis (e.g., SPSS, R, STATA)
• Desired: prior experience in systematic review and evidence synthesis
• Desired: prior research experience in environmental health and health psychology
• As position requires stakeholder engagement in English, candidate must have excellent written and oral communication skills in English.
• Demonstrate initiative and good interpersonal communication skills
• Ability to work independently with a high level of accuracy and attention to detail
• Evidence of being able to work both independently and collaboratively, with a strong sense of team spirit

Interested applicants should submit a CV, a statement of interest, and contact details of 2 referees. Incomplete applications will not be considered. For more details, please view http://www.earthobservatory.sg.

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit based on merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability.

We regret to inform you that only shortlisted candidates will be notified.