Total 1,350 job vacancies in Singapore

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.  With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

We are looking for a Research Fellow to pursuing cutting-edge research in nanophotonic devices. The research fellow will apply nanomaterials and cutting-edge nanophotonic principles toward the design of new devices related to X-ray generation and detection.

Key Responsibilities:

• Nanofabrication, simulations, and measurements

• Lead papers and publish in high-impact journals

• Present at top-tier international conferences

• Assist in supervision graduate and undergraduate students

• Assist PI in writing grants

• Assist PI in performing logistics related to the project

Job Requirements:

• PhD degree in physics, engineering or related field

• Good written and oral communication skills

• Proficiency in scientific programming e.g., C, C++, Python etc.

• Competent in teamwork and presenting results in informative visuals

• Interpersonal skill: Ability to work under pressure, Ability to work independently, develop solutions under strict timelines, meticulous and eye for details, excellent organizational / time management skills

• Entry level candidates are welcome to apply

We regret to inform you 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-Fellow-%28Synthetic-Biology%29/32543-en_GB/?st=CE0BDA30BE4AD6AC5B61B8605043C95E1BD51A7E

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking one (1) talented postdoctoral researcher to join the Synthetic Biology Translational Research Programme (TRP) at the National University of Singapore Yong Loo Lin School of Medicine. The Synthetic Biology TRP seeks to repurpose biology for positive clinical impact, specifically by developing next generation small molecule deliverables to enhance the resilience of host- or environment-associated microbial communities.

The Research Fellow (RF) will work closely with the Principal Investigator and the research team to characterize and engineer environmental small molecules as drivers of microbial communities. Appointments will be initially made on a 1-year contract, with the possibility of extension.

Responsibilities:

1. Determine how environmental small molecules affect complex microbial communities in vitro and in vivo;
2. Mentor research assistants, graduate, and undergraduate students;
3. Assist in any other duties delegated by the Principal Investigator and group leaders.

Qualifications

The ideal candidate will:

1. Hold a PhD in Chemistry, Biology, Genetics, Physiology, or a related (sub)field;
2. Possess strong hands-on experience in microbial cultivation, natural products chemistry, mouse models of disease;
3. Be proficient in designing and conducting experiments involving gene and protein expression, microbial cultivation, and data analysis;
4. Demonstrate the ability to work independently and collaboratively, with a high level of scientific rigor and attention to detail;
5. Have a track record of publications in reputable international journals.

Remuneration will be commensurate to the candidate's qualifications and experience. Informal enquiries are welcome and should be made to:

Ms. Suhana Sulaiman, at suhana_s@nus.edu.sg

Formal application: Please submit your application, indicating job reference number and current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees) to the NUS Career Portal. Only shortlisted candidates will be notified.

Responsibilities

• Developing new product according to development requests and involve in improvement of existing products
• Developing application recipes to optimize product design for new and existing products
• Look out for new trends and new products in the market
• Responsible for developing prototypes for customer in a given time frame
• Evaluation of new ingredient submissions
• Conduct food tasting and sensory evaluation
• Maintain proper documentation to support costing, lab scale formulation of new and existing products and any supporting documents.
• Work closely with inter-departments on the development and launch of new or improved recipes
• Perform ad-hoc duties assigned by immediate superior

Job Requirements

• Recognised culinary qualification or similar discipline
• At least 2 - 5 year of relevant experience in restaurant/ hotel business/ food manufacturing industry
• Experience in different Asian cuisine, bakery and Dim Sum would be useful for daily R&D work
• Passionate about food product development
• Creative in food preparation and presentation
• Meticulous with good organizational skills
• Team player with good interpersonal skills
• Proficient with Microsoft Office
• Proficient in Mandarin and English (spoken and written) as need to liaise daily with Mandarin and English speaking associates

For a quicker response, apply directly through our application portal: https://boards.briohr.com/teeyihjiafoodmanufacturingpteltd-32hw8fqhzn/details/679832023668ca000888465a

We have an openings for Research Fellow position at the Bio-inspired Robotics and Design Laboratory (https://brd.sutd.edu.sg) at SUTD.

The role:
The Research Fellow (RF) will support fundamental and applied research in dexterous manipulation and grasping by developing novel soft and hybrid mechanisms, actuation, and sensing technologies for next-generation applications in both harsh and delicate environments. The RF will be involved in projects with (1) a large NRF-funded CREATE program in collaboration with NTU and the Hebrew University of Jerusalem, and (2) the Port of Singapore.
We are looking for researchers with a passion for design and innovation and keen to work with a multi-disciplinary team.

Responsibilities:

• Motion and path planning for a variety of industrial grasping applications
• Robot Navigation and obstacle avoidance using multi-modal sensor feedbak
• Design and run manipulation and grasping experiments in both laboratory environments and real application
  environments

Key requirements:
• A Ph.D. degree in Mechanical Engineering, Robotics, or related fields• Experience with Simulation Tools (Isaac Sim, Gazebo, etc)
• Experience with SolidWorks
• Experience with Vision systems
• Familiarity with Soft Robotics and Additive Manufacturing processes is a plus but not a requirement

Key Responsibilities:

• The postdoctoral applicant must demonstrate commitment to co-create impactful discoveries in the microbiome gut-brain neuroscience field with us.

• In addition to being exceptionally motivated, having core skills for animal and lab work, and willing to work in our team and help with essential lab duties.

• The candidate must have experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics.

Key Competencies/Requirements:

• Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record

• Lead impactful work within the lab’s research theme on the microbiome gut brain neuroscience

• Exhibit proficiency in mice/rodent handling, optogenetics and behaviours, animal surgery and dissection

• Demonstrate experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics

• Be highly motivated and conscientious, able to work independently and with a team, and willing to teach, learn, and assist with essential lab duties

We regret that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

We are looking for a Research Associate to work on embodied intelligence. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in embodied intelligence, such as Vision-Language-Action (VLA) models.

Key Responsibilities:

The research associate will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Assisting with robot operation, debugging, and system integration

• Providing general support for the lab

Job Requirements:

• Master’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in machine learning, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Self-Motivated and takes initiative

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

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 industrialization 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 Fellow to conduct research. The role will focus on power grids.

Key Responsibilities:

• Conducting research in the area of power grid in the context of decarbonization
• Contributing in writing research proposals
• Writing research reports, deliverables and scientific publications
• Contributing in guiding research students at a Master or doctorate level
• Presenting research advances and outcomes at relevant events
• Coordinating the tackled research work with ERIAN/NTU researchers and other involved institutions
• Organize seminars and contribute to the scientific animation of ERIAN

Job Requirements:

• PhD (for Research Fellow and above equivalent) degree in power systems or related field
• At least 1 years of relevant experiences in power system modelling / technical hands-on experience in power grid dynamics and control
• Familiarity with power grid modelling tools
• Good written and oral communication skills
• Proficiency in numeric, analytical, and control skills
• Competent in team working, good interaction with funding institutions and industry
• Ability to work in autonomy, to respect timelines, to be well organized, to report on a regular basis to the management, to continue to learn
• Leadership Competency:
  Ability to build rapport and influence stakeholders at all levels
  Ability to work collaboratively in a fast-paced environment.
  Ability to establish network of contacts in the region and search for funding at all levels
  Ability to lead business meetings and seminars.

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-Associate-%28Ophthalmology%29/32547-en_GB/?st=424AA0E30D589508E8D4763F4BA1235ACF8B652E

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for position of Research Associate in the Department of Ophthalmology, Yong Loo Lin School of Medicine.  Appointments will be made on a 1 year contract basis in the first instance, with the possibility of extension.

Purpose of the post: The Research Associate will join my research team focusing on trustworthy multimodal artificial intelligence for healthcare. The successful candidate will contribute to the development of next-generation medical AI systems, with a particular focus on vision–language foundation models, multimodal learning across medical imaging modalities (e.g., fundus, OCT, MRI), and clinically deployable AI solutions. The position offers a unique opportunity to work at the intersection of cutting-edge AI research and real-world clinical translation.

Main duties and responsibilities:

Conduct research on medical image analysis, multimodal learning, and vision–language models

• Develop and implement deep learning models using frameworks such as PyTorch
• Work with large-scale medical datasets, including data preprocessing, curation, and evaluation
• Collaborate with clinicians and interdisciplinary teams to design clinically relevant AI solutions
• Contribute to research publications in top-tier journals and conferences (e.g., MICCAI, CVPR, TMI)
• Assist in project coordination and support grant-related research activities

Qualifications

The applicant should:

(a) Hold a Master’s degree in Computer Science, Statistics, Artificial Intelligence, Software Engineering, or a related field, with a strong academic record;

(b) Have strong programming skills in Python and experience in machine learning and data analysis (e.g., PyTorch, scikit-learn, pandas, NumPy), with solid foundations in statistical modeling and inference;

(c) Demonstrate hands-on experience in developing AI systems or applications (e.g., AI agents, knowledge-based systems, or full-stack AI platforms), with the ability to translate algorithms into practical solutions;

(d) Possess experience in software development (e.g., web technologies, system design, or scalable applications), which is advantageous for building deployable AI tools;

(e) Show strong analytical thinking and problem-solving skills, with attention to detail and the ability to work both independently and collaboratively in a multidisciplinary research environment;

(f) Have prior exposure to research activities (e.g., publications, research projects, or mathematical modeling competitions), which will be considered a strong advantage;

(g) Have good written and verbal communication skills in English.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

NTU, CEE is a leading school for Sustainable Built Environment.

We are looking for a Research Fellow to support the development of smart connectors for modular floating breakwaters. The role will focus on simulation, prototyping, lab testing and developing smart connectors for modular floating breakwaters.

Key Responsibilities:

• Design and build connector models

• Simulation and optimization of connectors

• Fabricate connectors and conduct lab tests

• Publish several papers in top journals.

• Write proposals for further development.

• Mentor students

Job Requirements:

• PhD degree in civil engineering or related field

• At least 1 year of relevant experience in signal processing and machine learning.

• Good written and oral communication skills

• Proficiency in ANSYS, and lab test skill

• Ability to work independently and develop solutions under strict timelines

We regret that only shortlisted candidates will be notified.

Work location: Thomson Road
Working hours: Monday to Friday office hours
Salary: $4200 per month

1 year contract

Job Scope:

• Research Work
• Contributing to the development and implementation of research projects
• Conducting data analyses to address queries from stakeholders
• Conducting literature reviews
• Assisting with focus groups and interviews
• Performing data entry and transcribing audio/video recordings
• Setting up and maintaining databases and data visualisation dashboards
• Monitoring data collection progress
• Verifying the completeness and quality of data and ensuring data security
• Assisting in documentation of work processes
• Preparing and presenting research updates to stakeholders
• Capability Building Work
• Designing info posters, presentations, and other dissemination materials for corporate functions and capability-building purposes
• Administrative Work
• Performing ad-hoc administrative duties as assigned by the reporting officer

Requirements:

• Degree in Psychology, Social Work, or related fields
• Keen interest in working in the social service sector
• Interpersonal, written and communication skills
• Research experience

Interested applicants may apply or email your CV to nadirah.hirwandy@tg-hr.com

SINGAPOREANS ONLY

NTU, CEE is a leading school for Sustainable Built Environment.

We are looking for a Research Associate to support the development of hybrid vision-vibration digital twin for steel structures. The role will focus on simulation, lab testing and developing smart connectors for modular floating breakwaters.

Key Responsibilities:

• Develop modelling techniques for hybrid digital twins.

• Fabricate steel building models with corrosions.

• Develop AI and model updating techniques to calibrate the model.

• Publish several papers in top journals.

• Write proposals for further development.

• Mentor students.

Job Requirements:

• MSc degree in civil engineering or related field

• At least 1 year of relevant experience in structural analysis and machine learning.

• Good written and oral communication skills

• Proficiency in ABAQUS, MATLAB, and lab test skill

• Ability to work independently and develop solutions under strict timelines

We regret that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

We are looking for a Research Assistant to work on computer vision. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in computer vision, such as Multimodal Large Language Models and Diffusion Models.

Key Responsibilities:

The research assistant will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Providing general support for the lab

Job Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in machine learning, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Self-Motivated and takes initiative

We regret to inform you 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-%28Diagnostic-Radiology%29/32548-en_GB/?st=188CD011B6DD33446DD894ED5225F5F61C096B93

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. The Department of Diagnostic Radiology is committed to advancing imaging sciences for precision medicine, with strengths in medical image analysis, neuroimaging, and AI-driven healthcare. Our faculty collaborates widely with engineering and computational sciences, and we host specialized research facilities including PET/CT imaging development and advanced image computing platforms. More information on the department is available at https://medicine.nus.edu.sg/meddnr/about-us-staff.html.

Appointments will be made on a one-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will support projects in medical image analysis and AI-driven healthcare research, working closely with the Principal Investigator and research team. The RA’s role will include assisting with data processing, algorithm development, and research support for ongoing imaging projects. Specifically, the RA will:

1. Support research activities in medical imaging and AI, including data curation, preprocessing, and analysis.
2. Assist in the development, testing, and validation of computational models for imaging applications.
3. Conduct literature reviews and contribute to the preparation of manuscripts, reports, and presentations.

Qualifications

The applicant should:

(a) Hold at least a Bachelor’s degree in a relevant discipline (e.g., computer science, biomedical engineering, electrical engineering, or related fields).

(b) Have research interest or prior experience in areas such as medical imaging, computer vision, artificial intelligence, or machine learning.

(c) Be proficient in programming and data analysis, and familiar with common tools for image processing.

(e) Possess good written and verbal communication skills.

Remuneration will be commensurate with the candidate's qualifications and experience.

Only shortlisted candidates will be notified.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

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

We are looking for a Research Fellow to lead advancements in multimodal large language models (LLMs) and embodied AI. This role will contribute to NTU’s mission of driving transformative research in artificial intelligence and robotics by developing force-integrated Vision-Language-Action models that enable seamless human-robot interaction and autonomous task execution. The successful candidate will play a pivotal role in enhancing NTU’s global reputation for excellence in robotics and AI.

Key Responsibilities:

• Publish high-quality research in top-tier conferences and journals.

• Design and implement multimodal LLM architectures that integrate vision, language, and action for embodied AI systems.

• Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions.

• Experiment with and deploy vision-language-action models on robotic platforms.

• Collaborate with a multidisciplinary team to advance the field of embodied intelligence.

Job Requirements:

• Ph.D. in Computer Science, Robotics, AI, or a related field.

• At least 3 top-tier AI and Robotics Conference Publications as the first author

• Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models.

• Strong programming skills in Python, with significant experience in PyTorch.

• Hands-on experience with robotic systems, particularly robotic arms.

• Familiarity with human-robot interaction and reinforcement learning is a plus.

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

Join a growing tuition centre in Hougang & Yishun. Teach English, Maths or Science in small group classes with curriculum support, parent engagement, and clear career progression.

About the Role
Our client is a well established tuition centre in the North East, offering MOE-aligned English, Maths, and Science programmes. This is a full time teaching role for educators who enjoy working with students in a structured tuition centre environment and are confident managing both classroom learning and parent communication.

Why This Role

• Small group teaching environment

• MOE-aligned curriculum and structured teaching support

• Clear development pathway for committed teachers

• Meaningful student impact with regular parent engagement

• Remote admin work may be done during non-teaching hours

What You’ll Do

• Teach English, Maths, or Science in accordance with the centre’s curriculum and MOE syllabus

• Conduct engaging small-group lessons and maintain a positive classroom environment

• Monitor student progress and provide feedback to students and parents

• Prepare lesson materials and support curriculum improvement where needed

• Manage class discipline, attendance, make-up arrangements, and marking

• Communicate regularly with parents, including class updates where required

What We’re Looking For

• Able to teach at least two subjects from English, Maths, or Science

• Strong familiarity with the Singapore MOE syllabus

• Minimum 1 year of group classroom teaching experience in a tuition, enrichment, or school setting

• Strong communication and classroom management skills

• Patient, dependable, and committed to student development

• Minimum A Levels / Diploma for primary-level teaching

• Minimum Bachelor’s degree for secondary-level teaching

Work Schedule

• 3 weekdays: 3:00pm to 9:00pm

• Saturday and Sunday: 9:00am to 6:00pm

• On-site at Hougang or Yishun

• Weekly meetings / training may be conducted online or on-site

Benefits

• Monthly salary: $3,000 to $3,500

• Medical and dental benefits

• Performance-based bonus

• Ongoing teacher development and training

• No regular classes during 1–14 June and 1–31 December; these are paid work periods under the centre’s academic calendar, and teachers may be scheduled for meetings, workshops, or other work-related duties during these periods

How to Apply
Apply via MyCareersFuture.
All applications will be handled in confidence by First Konnection Pte. Ltd.
EA Licence No: 22C1307 | EA Reg No: R23111820

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%2C-School-of-Computing/32538-en_GB/

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, 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 Research Fellow will be responsible for developing new techniques for AI privacy or trustworthy-related tasks. This includes:

• Conduct research on the theory, methods and applications of artificial intelligence and security techniques to analyze privacy policies and runtime behaviors in web applications.
• Conduct research on security or trustworthiness-related tasks for web applications, including the use of formal reasoning and verification techniques to improve reliability and compliance.
• Develop methods that integrate large language models with symbolic reasoning or formal techniques to support privacy-related analysis and trustworthy decision-making.
• Write high-quality research papers based on research results.

To address the above tasks, the research may require the integration of machine learning, automated reasoning, and formal techniques for analyzing and improving the trustworthiness of intelligent systems.

   1.  Privacy Policy Compliance Analysis

        Develop methods to analyze whether the runtime behaviors of web applications are consistent with privacy policies, with support from formal reasoning, theorem proving, and trustworthy AI techniques.

   2.  Data Processing Principles Compliance

        Investigate techniques for evaluating whether web applications adhere to data processing principles, including rigorous analysis, automated reasoning, and methods for identifying potential inconsistencies or violations.

   3.  Compliance-Oriented Development Assistance System

        Develop intelligent methods and tools that combine large language models with formal techniques to assist in the analysis, generation, and checking of privacy-related requirements and compliance-relevant behaviors.

Job Requirements

• PhD degree in Computer Science, Mathematics, or other related areas.
• Strong knowledge and demonstrated ability in at least two of the following areas: formal methods, security, machine learning, or trustworthy AI.
• Familiarity with formal techniques such as theorem proving, program analysis, constraint solving, or formal verification.
• Familiarity with large language models and their applications to reasoning, compliance analysis, or trustworthy decision-making.
• A strong research track record as evidenced by publications in leading journals or conferences.
• Excellent communication and writing skills.
• Ability to conduct independent research as well as collaborative research within a team.
• Self-Motivated and takes initiative.

Your new company

A global logistics company is looking for an experienced Market Research & Planning Executive to join their team.

About the job

As a Market Research & Planning Executive, you lead the design and delivery of scalable, reusable analytics solutions.

Your new role

As a Market Research & Planning Executive, you will be responsible for:

• Extract, manage, and analyze external and cross-functional data to deliver revenue and productivity insights effectively.
• Evaluate external market reports and methodologies to develop marketing intelligence supporting strategic decision-making initiatives objectives.
• Analyze customer satisfaction, market reactions, and competitive data to identify growth opportunities and data monetization.
• Lead external lead generation initiatives including budget oversight, supplier management, and database infrastructure development activities.
• Conduct economic, air express, and cargo market analyses to assess short-term and long-term growth potential.
• Prepare sales and business reviews, targets, and reports highlighting insights, abnormalities, and recommendations for management.

What you’ll need to succeed

• Bachelor’s degree in business, computer science, statistics, or related analytical discipline with strong quantitative foundation.
• 2+ years of experience in market research, analytics, and data-focused roles within organizations.
• Proven experience in database management, external statistics databases, and advanced data analytics techniques tools applications.
• Strong proficiency in Power BI or related business intelligence and reporting technologies within enterprise environments.
• Excellent software skills with experience developing reports and implementation plans in dynamic sales environments organizations.
• Strong analytical mindset, stakeholder communication skills, organizational interest, and ability to support commercial projects effectively.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D

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/Manager-%28Research-Finance-Business-Partner%29/32439-en_GB/

We regret that only shortlisted candidates will be notified.

About Us

Join the National University of Singapore (NUS) Finance Team – Where Innovation Meets Excellence

At NUS, the Office of Finance stands as a dynamic and strategic partner, driving financial sustainability and operational excellence. Our team plays a crucial role in overseeing financial planning, optimising resources, and enabling the University’s ambition and innovation.

We are at the forefront of formulating, reviewing, and analysing the University’s operating, strategic, and capital budgets. Through strong governance, robust financial processes, and cutting-edge systems, we ensure every dollar is put to its best use, fueling research, education, and transformation.

Why Join Us?

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-%28Human-Potential-TRP%29/32545-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine.  The HPTRP brings together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on two-year contract, with the possibility of further extension.

Purpose of the post

The Research Fellow will join a programme of research investigating how cultural contexts and family socialisation shape children's and adolescents' social-emotional and cognitive development. Using longitudinal designs, the project examines parent–adolescent communication in Singaporean families, with a particular focus on translating empirical findings into evidence-based interventions that promote adolescent psychosocial well-being amid rapidly advancing AI technologies. The lab maintains an active collaboration with Singapore's largest prospective birth cohort study, Growing Up in Singapore Towards Healthy Outcomes (GUSTO), offering access to rich, nationally relevant developmental data.

This fellowship provides substantial opportunities for new PhDs seeking significant experience, mentorship, and networking, as well as close collaboration with the Principal Investigators and considerable involvement in authorship of abstracts, presentations, and manuscripts.

Main duties and responsibilities

The duties and responsibilities of the successful candidate include but are not limited to:

1. Working closely with the PI and research team to develop new research ideas, write up and present project proposals.
2. Designing research protocols, drafting ethics applications, planning data collection strategies, guided by literature reviews and best practices.
3. Recruiting, leading, and training teams comprising Research Assistant(s), Undergraduate, and Graduate Students, in the conduct of developmental research.
4. Establishing and managing research databases.
5. Rigorous data analyses and interpretation of data.
6. Generating reports and high-quality publications for presentation to stakeholders and submission to top tier journals.
7. Present research findings at national and international conferences.
8. Leading a team comprising Research Assistant(s) and Students in the conduct of laboratory- and field-based research studies.
9. Maintaining the highest standard of professional conduct and record-keeping in accordance with policies and procedures.
10. Perform research duties (e.g., administration and accounting, maintain budgets, submit reimbursement requests) as delegated by the PI.

Qualifications

The applicant should have:

• A Ph.D. in developmental psychology, developmental cognitive neuroscience, or a related discipline 

• Research experience in early cognitive development / implementation science 
• Teaching experience is preferred but not necessary

• Excellent statistical abilities with demonstrated proficiency in statistical language (e.g., Stata, R) 

• Applied research skills in methodological development and data analysis 

• Strong organizational, interpersonal, and problem-solving skills

• Good teamwork with excellent communication and public relations skills 

• The ability to work independently, under pressure and meet deadlines 
• Candidate should be willing to make a 2-year commitment

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

To apply, interested candidates should submit a letter of interest, CV, transcripts, contact information for three references, and sample publications via the NUS Careers portal. Applications will be accepted until the position is filled. 

The Energy Research Institute @ NTU (ERI@N) is a university-level research institute dedicated to advancing innovative energy solutions for sustainable cities, industrial decarbonisation, and resilient energy infrastructure. ERI@N bridges fundamental research and real-world deployment through close collaboration with industry and government agencies.

This position supports a research project focused on the integration of non-conventional geothermal energy (EGS/AGS) into data centre cooling systems in Singapore, including geothermal-assisted cooling architectures, absorption chilling, heat pumps, thermal energy storage, and system-level techno-economic and environmental assessment.

Key Responsibilities:

• Review geothermal resource data and data centre cooling demand profiles relevant to Singapore.

• Develop and validate geothermal system models (EGS/AGS) and associated heat extraction performance.

• Model and assess geothermal-driven cooling configurations, including absorption chillers and geothermal-assisted heat pumps.

• Integrate thermal energy storage and low-water heat rejection strategies suitable for tropical, urban environments.

• Perform techno-economic, environmental (CO₂, water), and sensitivity analyses.

• Support system optimisation and development of decision frameworks for pilot-readiness.

• Prepare technical reports, presentations, and research outputs for ERI@N stakeholders and industry partners.

Job Requirements:

• PhD in Mechanical Engineering, Energy Engineering, Chemical Engineering, or a closely related discipline.

​Technical Competencies

• Proven experience in energy system modelling and simulation, with focus on thermal systems and/or geothermal energy systems.

• Strong background in cooling technologies, including absorption chillers, heat pumps, and thermal energy storage.

• Experience in techno-economic analysis of energy systems, including CAPEX/OPEX estimation, levelised cost metrics, and sensitivity analysis.

• Ability to integrate multiple subsystems into system-level performance and optimisation frameworks.

• Proficiency in at least one scientific computing environment (e.g. Python, MATLAB, Modelica); experience with geothermal or reservoir modelling tools is an advantage.

Research & Delivery Skills

• Ability to independently plan and execute applied research tasks under defined timelines.

• Strong capability in technical reporting, including preparation of feasibility studies, decision-support analyses, and stakeholder-facing deliverables.

• Experience working on industry- or application-driven research projects is preferred.

Soft Skills

• Strong analytical and problem-solving skills.

• Ability to work independently while collaborating effectively within a multidisciplinary research team.

• Clear written and verbal communication skills suitable for interaction with industry and institutional stakeholders.

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

Globally recognized as a leading research and technology organization, the Nanyang Environment and Water Research Institute (NEWRI) addresses national priorities through its diverse expertise in Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative capabilities, NEWRI drives innovation in water circularity and sustainability, next-generation solid waste solutions, circular economy resource recovery, climate resilience and digitalization.

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

We are seeking a highly self-motivated individual to join the Nanyang Environment and Water Research Institute (NEWRI) as a Research Associate.

Key Responsibilities:

• The successful candidate will be responsible for leading and managing research projects, with duties including (but not limited to) project administration, progress monitoring, and reporting.

Job Requirements:

• The individual is expected to possess at least a Master in Environmental Engineering, Chemical Engineering or a related field.

• Prior experience in biotechnology or bioprocesses related work is highly favorable.

• Good written and oral communication skills.

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-%28Synthetic-Biology-TRP%29/32540-en_GB/?st=18ABF0E49D06D254A4A78105FFD16B13FD4B62B3

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for one Research Assistant position in the Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine. Appointments will be on a 1-year contract in the first instance, with the possibility of extension. Fresh graduates are encouraged to apply.

Job Description

The Research Assistant/Associate (RA) will be responsible to Dr Shi Jiahai and work with a team of researchers. The research project revolves around applied synthetic biology and focuses on red blood cell biology.

The Research Assistant is expected to:

1. Take part in one or more research projects involving extracellular vesicle isolation, purification, characterization, and engineering, including the optimization of workflows for EV preparation from cell culture or biological samples.
2. Perform experiments related to molecular biology, cell biology, and vesicle research, including sample preparation, nucleic acid/protein analysis, and functional evaluation of EVs.
3. Assist in the development and optimization of EV purification methods, such as differential centrifugation, ultracentrifugation, size-exclusion chromatography, filtration, precipitation-based methods, or affinity-based approaches.
4. Support EV characterization using appropriate analytical methods, which may include particle sizing, concentration measurement, protein and RNA analysis, imaging, and biomarker-based assays.

Qualifications

The applicant should:

1. Hold a Bachelor’s or Master’s degree in mathematics or biotechnology;
2. Have knowledge and hands-on experience in molecular biology, biotechnology, or biological science;
3. Be able to work independently and in a team, have an investigative nature, and be attentive to details;
4. Be passionate about science, self-motivated, naturally take ownership of assignments, and proactively propose solutions to arising obstacles.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Suhana Binte Sulaiman, at suhana_s@nus.edu.sg

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

We regret that only shortlisted candidates will be notified.

The Senior Analytical Science & Technology Manager is accountable for end-to-end analytical science and QC laboratory quality systems governance, ensuring robust analytical execution, compliant laboratory systems, and sustained inspection readiness in support of API manufacturing. 

This role integrates Analytical Sciences & Technology (AS&T) leadership with QC Quality Systems and Laboratory Systems ownership, providing a single point of accountability for analytical method lifecycle management, laboratory investigations, data integrity, and computerized laboratory systems. 

The incumbent ensures that analytical methods, laboratory processes, and core QC systems (e.g. LIMS/GLIMS, Empower, Lab X) are scientifically sound, compliant, effectively governed, and fit for routine operations, investigations, and regulatory submissions. Acting as both technical authority and QC systems owner, the role partners closely with Manufacturing, QA, Global Analytical functions, and Digital teams to deliver Right First Time (RFT) outcomes and operational excellence. 

Responsibilities

1. Analytical Sciences & Technology (AS&T) Leadership 

• Lead all Analytical Method Transfer Exercises (AMTE) for APIs transferring into, within, and out of the site. 
• Own the analytical method lifecycle, including development, validation, verification, compendial review impact assessments, and robustness improvements. 
• Ensure analytical approaches align with ICH guidance, PQS, and site SOPs. 
• Provide SME oversight for analytical troubleshooting, method failures, and complex laboratory investigations. 

2. QC Quality Systems & Laboratory Systems Ownership 

• Own and govern QC laboratory quality systems, including:  
• Deviations, investigations, and root cause analysis 
• CAPA definition and effectiveness 
• Data Integrity governance 
• SOP lifecycle management 
• Change management impacting analytical methods and laboratory systems 
•  Act as system owner / business process owner for core QC laboratory systems, including:  
• LIMS / GLIMS (sample management, result reporting, data integrity) 
• Empower Chromatography Data System (method control, data review, user access, audit trail oversight) 
• Ensure systems are:  
• Qualified and maintained in a validated state 
• Appropriately governed for user access, data integrity, and change control 
• Fit for business use and inspection ready 

3. Data Integrity & Compliance Governance 

• Establish and maintain strong Data Governance and Data Integrity controls across analytical and QC systems. 
• Ensure compliant use of LIMS/GLIMS, Empower, and associated analytical platforms in line with:  
• cGMP, ALCOA+ principles 
• PQS and site procedures 
• Regulatory expectations (e.g. FDA, EMA) 
• Serve as the QC Systems escalation point for audits and inspections involving laboratory systems, data integrity, and analytical practices. 

4. Investigation & Manufacturing Support 

• Provide expert analytical and systems input into:  
• Manufacturing deviations 
• Laboratory OOS/OOT events 
• System related data integrity issues 
• Customer complaints requiring analytical assessment 
• Ensure investigations are scientifically robust, risk based, and inspection defensible. 

5. Operational & Manufacturing Interface 

• Support routine API manufacturing by providing real-time analytical expertise to Value Stream Teams (VSTs). 
• Ensure analytical and system readiness for:  
• Cleaning validation 
• Stability programs 
• New product introductions 
• Partner with QA, Manufacturing, Validation, and Digital teams to align analytical execution, systems capability, and regulatory submissions. 

6. Project, Resource & Financial Management 

• Develop and manage integrated project plans covering:  
• Analytical method transfers 
• Validation programs 
• QC systems improvements and digital initiatives 
• Balance project and routine operational demand through capacity planning and prioritization. 
• Co-own QC laboratory operating budget and analytical systems capital planning (e.g. Empower upgrades, LIMS enhancements). 

7. Continuous Improvement & System Enablement 

• Drive Right First Time (RFT) behaviors across analytical execution and QC systems. 
• Lead continuous improvement initiatives leveraging:  
• Lean, Six Sigma 
• SPC and trending tools 
• System harmonization and standardization 
• Promote effective use of laboratory systems to improve efficiency, compliance, and data reliability. 

8. People Leadership & Capability Building 

• Lead, coach, and develop AS&T and QC Systems teams to build sustainable analytical and systems capability. 
• Fulfil First Line Leader (FLL) responsibilities, including:  
• Coaching and performance management 
• Visible GMP presence 
• Realtime issue escalation 
• Accountability for Data Integrity behaviors 
• Actively role model a strong quality, compliance, and ownership culture. 

Supervision

• The incumbent is responsible for 2-5 direct reports and 3-8 indirect reports.

Education

• Min. Bachelor or Master or Ph.D. Degree in Science (Chemistry preferred), Pharmaceutical Sciences or related Life Sciences.

Experiences

• Minimum 8 years of experience in pharmaceutical manufacturing or QC, AS&T, or R&D laboratory environments within regulated industries.
• Minimum 5 years in a leadership/supervisory position of professional staff previously or demonstrated capability to successfully lead large teams.
• Governance experience with LIMS/GLIMS, Empower, and analytical data systems.
• Experience in an API manufacturing plant is preferred.
• Extensive knowledge of GMP compliance requirements for Quality Control Laboratories is a must.
• Successful track record of continuous improvement, development and/or implementation of best practices in Quality Control Laboratories.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.  With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

The position is hosted within a newly established research group in the School of Electrical and Electronic Engineering at Nanyang Technological University. The group focuses on the development of hybrid integrated photonic chips and experimental platforms for advanced sensing and information processing, with strong emphasis on superconducting and optical materials growth, device design, nanofabrication, and system-level characterization.

We are looking for a Research Fellow. The role will focus on the development of hybrid integrated photonic devices and chip-scale experimental platforms for advanced sensing and information processing applications, for example, integrated photonic chips for precision optical sensing and on-chip experiments for emerging information technologies. The Research Fellow will work in a hands-on, interdisciplinary research environment and play an active role in shaping the group’s early experimental capabilities and research directions.

Key Responsibilities:

• Design and simulate integrated photonic devices and systems for sensing and information processing applications (e.g. Lumerical, COMSOL).

• Participate in nanofabrication activities for integrated photonic devices, working with PhD students and technical staff in cleanroom environments.

• Build and operate experimental setups for optical and electrical characterization, including fiber-based systems, free-space optics, and cryogenic platforms。

• Perform data analysis and performance evaluation of integrated photonic devices and experimental platforms.

• Collaborate with faculty members, researchers, and external partners on interdisciplinary research projects.

• Co-supervise graduate students and junior researchers in related research activities.

• Prepare research publications, technical reports, and presentations.

Job Requirements:

• PhD degree in Applied Physics, Optics/Photonics, or a closely related field, with a background in integrated photonics, quantum optics, or quantum information science.

• At least 2 years of relevant research experience with hands-on experimental work in integrated photonics, optical or quantum photonic systems, or closely related areas.

• Experience in integrated photonic device design and numerical simulation using tools such as Lumerical, COMSOL, or equivalent software.

• Experience with nanofabrication processes and cleanroom environments (e.g. lithography, thin-film processing, etching, device characterization) is an advantage.

• Experience with optical and opto-electronic experimental techniques, including fiber-based and free-space optical setups; familiarity with cryogenic or low-noise measurements is an advantage.

• Excellent verbal and written communication skills, with the ability to clearly document research results and engage effectively with team members and collaborators.

• Strong interpersonal and organizational skills, with the ability to work independently and collaboratively, manage multiple tasks, and take initiative in solving experimental and technical problems.

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

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• RA & HR Management: Recruit, screen, onboard, and train undergraduate RAs each cycle; coordinate IT access and lab setup; develop and manage RA schedules to ensure full coverage across all sessions; run pre-wave QA sessions and share feedback with researchers.
• Lab Setup & Researcher Coordination: Configure SPS each term: create and distribute master surveys to faculty; open wave timeslots; verrfy IRB approvals; solicit studjes from researchers and manage wave deadlines across 6+ data collection waves per year; coordinate with relevant departments in advance to secure lab availability for the full term.
• Instructor Coordination & Credit Management: Coordinate with 1 O+ course instructors-each term on student sign-ups and study announcements; develop and tailor lab-related informational materials to meet the specific needs of each course; reconcile ~4,000 student credit entries per term; resolve discrepancies and process alternate assignment credits.
• Budget & Reporting: Lead the annual budget cycle; prepare and present term-end lab usage reports to the Marketing group; run BLAB departmental meetings.
• Daily Lab Operations: Oversee all communications for BLAB; prepare each lab session by ensuring IT readiness, coordinating technical support when needed, and maintaining a clean and functional lab environment; process participant cancellations and rescheduling in SPS; respond to student and researcher queries: provide on-call RA support during all data collection sessions; troubleshoot SPS and study issues, serve as backup study runner when needed.

• PhD in marketing, psychology, statistics, engineering, or a closely related discipline would be ideal.
• Prior experience in academic behavioral research, preferably including hands-on involvement in laboratory-based experimental studies.
• Familiarity with institutional research processes, including IRS/ethics protocols and subject pool management.
• Proficiency with online survey and subject pool platforms (e.g., Qualtrics, SONA/SPS).
• Strong understanding of experimental research design and behavioral data collection procedures.
• Excellent organizational and project management skills, with the ability to manage multiple concurrent workstreams across a full academic calendar.
• Strong interpersonal and communication skills for coordinating across faculty researchers, course instructors, undergraduate RAs, and university administrative offices.
• Strong troubleshooting ability, with a proactive approach to identifying and resolving technical and logistical issues under time pressure.
• Working knowledge of relevant computing and technical systems (e.g., survey platforms, lab IT setup, basic data handling), with the ability to quickly learn new tools.
• High attention to detail, particularly for data reconciliation and credit verification tasks involving large datasets.
• Experience supervising or training undergraduate research assistants is an advantage.

#LI-KC1