Total 4,356 job vacancies in Singapore

Job Description:

This role is ideal for individuals seeking real-world exposure in sales, marketing, and leadership development. You will be trained to execute campaigns and grow with the company based on performance.

Key Responsibilities:

• Support marketing and customer acquisition campaigns
• Represent brands at events and outreach activities
• Build communication and people-management skills
• Work closely with team leaders to achieve targets

Who Should Apply:
• Individuals who are goal-driven and performance-oriented
• No prior experience required

Benefits:

• Performance-based rewards
• Clear career advancement opportunities
• Ongoing coaching and leadership development

Requirements:

• Excellent ethics and positive learning attitude

• Leadership potential and ready to take on challenges (view challenges as opportunities instead!)

• Team player and enjoys interactions with people

Responsibilities:

• Implementing ethical sales technique with integrity & enthusiasm

• Lead and drives a team towards a common goal

• Relationship builder with established clients, customers and consumers

Benefits:

• One on one MENTORSHIP & SUPPORT system Performance based

• BUSINESS ADVANCEMENT

• Highly motivated, FUN and FAMILY-liked environment

• TRAVELLING opportunities – Regional and International

Sounds like something you are seeking for?

Send in your resume to us by clicking APPLY NOW. We will bring you on to a GREATER ADVENTURE!

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

Details of the Division and Team:

Group Strategic Analytics team delivers analytics and applications that solve quantitative problems for businesses across Deutsche Bank Investment Bank. The design, specification and implementation are the responsibilities of Strats in close partnership with Trading, Sales, Middle Office and Technology groups.

Deutsche Bank’s Desk Strats support trading desks and combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office.

What we will offer you:

A healthy, engaged and well-supported workforce is better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its center.

You can expect:

• Flexible benefits plan including virtual doctor consultation services
• Comprehensive leave benefits
• Gender Neutral Parental Leave
• Hybrid working arrangement
• 21 days of annual paid leave, plus public holiday
• A culture of continuous learning to aid progression

Your key responsibilities:

• Maintaining and improving DB core PnL/Risk ecosystem, including market data snapping, live pricing, pnl explain, new product support, life cycling, etc.
• Provide mathematical and pricing solutions to new and existing products covered by credit market business.
• Migrate all businesses risk management and valuation to the single strategic analytics platform.
• Implementing the automation of all downstream PnL processes and existing risk processes and enable appropriate controls (market object, model choice, calibration choice, booking exception policy).
• Working in partnership with Trading, Structuring, Finance, Market Risk, Technology and Operations to drive the build-out of strategic analytics platform and provide essential production support.

Your skills and experience:

• Minimum of two years of relevant work experience in quantitative space within an investment bank with proven experience in C++ programming, especially within pricing/risk environment.
• In-depth knowledge of credit products, including normal bonds, callable & convertible, single name & index, index options, distressed products, etc with advanced understanding in cds curve building and hazard rate modelling.
• Master/Phd degree in quantitative subjects such as financial engineering, statistics, mathematics or computer science.
• Knowledge of exotic credit products e.g., credit-linked notes, tranches.
• Prior experience in Python programming language.
• Demonstrate ability to communicate clearly, collaborate effectively with diverse stakeholders, and build strong cross‑functional relationships while contributing to shared goals in a dynamic, fast‑paced environment.

About us and our teams:

Deutsche Bank is the leading German bank with strong European roots and a global network. click here to see what we do.

Deutsche Bank & Diversity:

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

Job Summary

Provide expert employment law advice to international clients, lead complex restructuring projects, and support business growth through strategic legal counsel and client relationship management.

Responsibilities

• Advise international clients on individual and collective employment law matters as a trusted day-to-day legal advisor
• Lead employment law workstreams in complex restructurings, reorganisations, and cross-border transactions to ensure compliance and effective outcomes
• Draft, negotiate, and implement employment agreements and advise on employee participation to support client business objectives
• Guide clients through compliance investigations and sensitive HR-related issues to mitigate risks and uphold legal standards
• Supervise and mentor trainees and junior lawyers to develop team expertise and promote knowledge sharing
• Support business development initiatives by maintaining and strengthening long-term client relationships through proactive legal counsel

Preferred competencies and qualifications

• Completion of a law degree with above-average results
• Several years of relevant professional experience, preferably in an internationally oriented law firm
• Proven ability to independently manage complex mandates and provide commercially focused legal advice
• Strong business writing and communication skills to effectively convey legal concepts and recommendations
• High level of commitment, entrepreneurial mindset, and ability to work independently with a structured approach

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.

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-%28Computer-Science%29/32469-en_GB/?st=FBC0F159DBF57D30EA4D2A70AA55AD1C0D7BC7EA

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. 

Only shortlisted applicants will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and Good publication record
• Strong development skills

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/

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-%28Computer-Science%29/32470-en_GB/?st=268F709592288E636706A7A9A3F4FD9E1228D918

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The successful candidates will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. 

Only shortlisted candidates will be notified.

Job Requirements

•  Bachelor’s or Master's degree in Computer Science
•  Experience in Research
•  Demonstrated ability to carry out independent research or project work.
•  Excellent communication, documentation, and teamwork skills.

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.