Total 1,911 Science / R&D / Research job vacancies in Overseas

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.

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-%28Metabolic-Phenotyping-Core-%28MetCPU%29/32546-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant in the Metabolic Phenotyping Core (MetCPU) at the Department of Medicine, Yong Loo Lin School of Medicine. MetCPU provides human metabolic phenotyping services for subjects in clinical studies, who are typically recruited by the researchers themselves. These services include oral and intravenous glucose tolerance tests, the mixed-meal tolerance test, glucagon stimulation tests, euglycemic and hyperglycemic clamp studies, and indirect calorimetry. The Core also collaborates and provides research support service to other researchers in NUS and NUH.

Appointments will be made on a 12-month contract basis, with the possibility of extension which is subject to funding availability and performance.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator, team members and collaborators to ensure the successful completion of research projects and smooth operation of MetCPU. The RA’s principal role is to provide integrated research, clinical, coordination, and administrative support, including serving as study coordinator and liaison with other study teams and collaborators.

Main Duties and Responsibilities

The Research Assistant will liaise with the relevant personnel in university, hospital, and collaborating laboratories to streamline recruitment, biospecimen collection, biospecimen flow and processing, data collection, data management and will be accountable to the Principal Investigator (PI). The RA will be able to:

• Oversee the general management and day-to-day coordination of the multiple projects across study sites;
• Provide administrative and secretarial support to the projects, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
• Undertake the day to day running of the project at the study site, e.g. Collaborate and coordinate with team members at the study sites, recruitment, data collection at hospitals/university/participants’ homes;
• Maintain study database and tracking logs, as well as assist in preparing both progress and final reports of the project;
• Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
• Assist with ethics and grant applications, renewals, safety documents, and ongoing regulatory and grant administration.
• Assist with any other duties of a similar nature that are delegated by the PI or team manager. 

Core operations and administration

• Assist with general upkeep of operation needs such as purchasing of items, tracking of inventory/consumables, maintain equipment, maintaining databases, protocols and documentation.
• Assist with any other duties of a similar nature that are delegated by the PI or team manager.

Qualifications

...

Duties and Responsibilities

·      Manage daily library operations, including resources, systems, and circulation services

·      Support library programmes, user services, and literacy initiatives

·      Supervise students and maintain a safe, conducive learning environment

·      Administer and monitor Late-Coming (LC) records and student data

·      Coordinate and supervise detention, suspension, and student management processes

·      Maintain accurate documentation, reporting, and follow-up actions

·      Provide administrative support, including budgeting, resource coordination, and compliance with school policies

·      Other duty as assigned under Student Affairs& Services Department

Job Requirements

·      Nitec or its equivalent from the Library Association of Singapore

·      Working experience in a similar capacity, preferably in a secondary school environment

·      Experience in using the Spydus system will be an added advantage

·      Ability to supervise students firmly and professionally

·      Proficiency in spreadsheets and administrative tools

·      Working Hours: 9 am - 6.30 pm (Mon to Thu) and 9 am - 6 pm (Fri)

Interested parties, please email your updated resume to hrd@sst.edu.sg

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.

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-1%2C-Dept-of-Finance/32527-en_GB/?st=0B473217FD15668574730FF421287EC36ECD5BB3

We regret that only shortlisted candidates will be notified.

Job Description

I am looking for up to two highly skilled and motivated individuals to work with me as full-time research professionals. 

You will work with NUS Business School Professor Karsten Müller at the Department of Finance. For the most part, you will support Karsten’s research agenda on macro-financial linkages and historical macroeconomic statistics. This work uses macro and micro data and cutting-edge statistical methods to understand when credit booms endanger financial stability, what the sources of long-run growth are, and how boom-bust cycles can shape the economy of a country for decades. Among other things, you will help to (a) construct novel data sources to measure credit market conditions and historical macroeconomic outcomes, (b) analyse data to understand the role of financial frictions on firm outcomes, and (c) help estimate measures of economic activity ranging back centuries for many countries. 
 
You will work with us on a variety of tasks, including data collection and analysis, statistical programming and data visualization, conducting literature reviews, summarizing research findings and policy documents, and editing research papers. You will have access to resources, including part-time research assistants, and collaborate closely with other members of Professor Müller’s lab. The most important requirement for this position is that you are highly ambitious and eager to learn, and you should ideally bring a proven an interest in economic research. 

The position is based in Singapore. A successful candidate will be able to participate in the academic life at NUS, including the ability to attend research seminars and potentially PhD courses. I will support you in achieving your interests and goals, which for many candidates will mean applying to world-leading Master’s and PhD programmes, policy organizations, or industry jobs. NUS provides equal employment opportunities to all employees, applicants, and job seekers.

Qualifications
Ideal candidates will:
(i)    have a strong background in economics, finance, or data science; 
(ii)    have a proven interest in economic questions, and an interest potentially pursuing an academic path;
(iii)    be able to work independently to solve problems; and
(iv)    be highly organized and pay attention to details.

A background in economics or finance is a plus but not necessary. I have often worked with computer science or data science students as well. The ideal candidate will be highly motivated and self-directed, adept at learning new technical skills when needed. 

Candidates should submit the following documents:
•    Cover letter and resume
•    Transcripts from previous academic programs, where relevant
•    If available: A research paper (undergrad thesis, term paper, etc.)

Applications will be reviewed on a rolling basis.

Working Conditions
Office, library, computer room

Physical Effort
Typically sitting at a desk or table

Department / School
NUS Business School

Pay
Competitive with other world-leading research universities

Special Requirements 
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

Product area

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

In this role, you will be advancing fundamental capabilities of AI to drive significant benefits to humanity. You will pioneer AI research in Singapore, focused on delivering the most performant, efficient and capable generative AI models.

Qualifications

Job responsibilities

• Abstract out key problems, design elegant and deep solutions for these problems through theoretical or empirical insights.
• Prototype, profile and benchmark solutions to showcase effectiveness.
• Lead and collaborate with research teams located across the globe.
• Drive and grow collaborations with product teams to land product innovations.
• Collaborate with hardware architects/infrastructure teams to inform design and algorithm decisions.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software programming in Python or C++.
• 1 year of experience with data structures and algorithms.
• 1 year of experience implementing core Machine Learning (ML) concepts.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in a university or industry labs, with emphasis on AI research.
• Experience developing accessible technologies.
• Understanding of transformer architecture internals.
• One or more AI/ML research publication in peer reviewed research conference.

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

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Key Responsibilities: 

• To develop and setup the technique fs laser direct-write and optical cavity integration.

• To setup and align optical beamlines/setups for home-built micro-transient optical spectroscopy experiments.  

• To conduct micro-transient absorption spectroscopy studies on the measurements of carrier diffusion length.

• To perform data analysis and data interpretation of micro-transient optical spectroscopy experiments independently.

• To assist the principal investigator with the writing of research papers.

Job Requirements:

• Minimally PhD holder

• The candidate will be tasked to prepare perovskite nanomaterials and conduct ultrafast optical spectroscopy studies on them. The candidate is also required to perform data analysis and data interpretation.

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

Interested applicants are invited to apply directly at our NTU Career Portal.

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

In this rapidly changing world, the Centre for Climate Change and Environmental Health (CCEH) is advancing research on how climate change, air pollution, and extreme environmental conditions affect human health. By bringing together expertise across environmental science, exposure assessment, epidemiology, and public health, CCEH develops evidence-based solutions to support healthier and more climate-resilient communities in Singapore and across Asia.

Within CCEH, the Environmental Health team, led by Prof. Steve Yim, investigates the interactions between climate, air quality, and human health using integrated measurement, modelling, and statistical approaches. The team works across multiple spatial scales to understand how environmental exposures affect human health and to generate scientific evidence for public health policy and workforce protection strategies.

Key Responsibilities:

The position will support interdisciplinary research on environmental and climate-related change, human health, and the social and spatial dimensions of vulnerability and resilience. The role will contribute to research on how environmental change, place-based characteristics, and population mobility shape health, wellbeing, and adaptive capacity across different community settings, including migrant and mobile populations. The successful candidate will support research design, data collection and management, quantitative and mixed-methods analysis, coordination with collaborators, and the preparation of scientific publications and other research outputs.

Job Requirements:

• Have a Ph.D. degree in geography, environmental studies, public health, environmental health, urban studies, sociology, migration studies, or a related discipline.

• Have research experience in environmental change, climate change and health, migration, population mobility, rural transformation, or related interdisciplinary fields.

• Have experience in quantitative, qualitative, or mixed-methods research, including the analysis of social, environmental, demographic, or spatial data.

• Have experience in statistical analysis using R, Python, SPSS, Stata, or similar analytical tools.

• Have good organizational and communication skills and evidence of the ability to work independently as well as collaboratively in interdisciplinary teams.

• Evidence of strong academic writing skills and the ability to contribute to scientific publications and other research outputs will be advantageous.

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.

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-Engineer-%28Digital-Concrete%29/32503-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil & Environmental Engineering (CEE) of the National University of Singapore is hiring one Research Engineer (RE) to assist the Principal Investigator in the research area of digital concrete with a focus on the design, printing, testing. 
 

The selected RE is required to work on 
•    Development of durable construction materials from locally available resources for marine applications.
•    Assessment of environmental impact of the developed concrete mixture.
•    Evaluation of the service life of the developed durable concrete mixture. 

Job Requirements

•    Possess a bachelor’s degree in civil engineering or mechanical engineering with demonstrated experience in designing and conducting experiments, statistical data analysis and possess excellent quantitative, and analytical skills. 
•    The ideal candidate is expected to be self-motivated and can work in an interdisciplinary environment.
•    Has the ability to work with minimal supervision, plan and perform experimental and field work, and present results in group meetings.
•    Due to an international working environment, strong written and spoken communications skills will be required. 
•    Prior experience in digital concrete, design, low-carbon concrete is essential to the posted job.  
•    Applications should include (i) a motivation letter, (ii) a detailed Curriculum Vitae, and (iii) contacts of 3 referees. Only shortlisted applicants will be contacted.
•    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/Senior-Manager-%28Research-Finance-Business-Partner%29/32443-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-%28ALD-Oxide-Semiconductor-&-Short-Channel-Transistors%29/32535-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow will drive the development of atomic-layer-deposited (ALD) oxide semiconductor (OS) thin-film transistors and aggressively scaled short-channel OS devices for back-end-of-line (BEOL) integration with CMOS. Key responsibilities include:
•    Develop and optimize ALD processes for oxide semiconductor channel materials (e.g., IGZO, ITO, IZO) and BEOL-compatible gate dielectrics, including recipe development, precursor evaluation, and post-deposition treatments.
•    Design, fabricate, and characterize short-channel OS transistors targeting sub-100 nm channel lengths, with emphasis on contact engineering, access resistance reduction, and threshold voltage control.
•    Execute full process flows in the NUS cleanroom, including lithography, etch, deposition, and metallization; develop BEOL-compatible integration modules.
•    Perform electrical characterization (DC, pulsed I–V, low-frequency noise, TDDB/BTI reliability) and correlate device performance with process conditions and materials properties.
•    Prepare manuscripts for top-tier venues (IEDM, VLSI, Nature journals) and present results at international conferences.
•    Mentor graduate and undergraduate students, and assist with grant reporting and proposal preparation.

Qualifications

Essential:
•    PhD in Electrical Engineering, Materials Science, Applied Physics, Chemical Engineering, or a closely related field.
•    Hands-on cleanroom fabrication experience with thin-film transistors or advanced CMOS/BEOL process modules.
•    Demonstrated expertise in ALD process development, including familiarity with thermal and plasma-enhanced ALD tools, precursor chemistry, and in-situ/ex-situ film characterization.
•    Strong background in semiconductor device physics, transistor electrostatics, and short-channel effects.
•    Proficiency in electrical characterization of transistors (transfer/output curves, mobility extraction, subthreshold analysis, reliability testing).
•    Track record of first-author publications in reputable device/materials venues.
•    Ability to work independently and collaboratively in a multi-disciplinary team.
•    Open to fixed-term contract
Desirable:
•    Direct experience with oxide semiconductor (IGZO / ITO / IZO / CAAC-IGZO) device fabrication or ALD.
•    Experience with TCAD simulation (Sentaurus, Silvaco) or compact modeling.

Opportunity for Bachelor's Degree / Master's Degree Holders that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for Postgraduate Students interested in exploring these opportunities.

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP)

Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Requirements for Joining Industrial Postgraduate Programme (IPP)

• Candidates must be strong in software engineering
• Bachelor's Degree or Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.

Remarks:

• 5 Work Days, 8.30am-5.30pm / 9am-6pm
• Office Near to Kaki Bukit MRT, Singapore
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus