Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities
• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers
• Assist teachers in preparation of instructional materials and/or classroom environment for lessons
• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.
• Work with functional committees to plan and implement school-wide educational and recreational programmes.
• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “N” level, NITEC, polytechnic diploma or equivalent
• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.
• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)
• Possess working knowledge of educational technology applications
• Experience in diagnosing and assessing learning disorders
• Proven effective classroom and student behaviour management skills
• Knowledge of current special education practices and methodologies

Job Description

• Develop, validate and perform bioassays and bioanalytical assays in compliance with FDA/EMA and GLP guidelines
• Refine current method in response to changing requirements of drug development
• Prepare study plan and study data of assays performed
• Analyse and present data/results
• Document work, results, analyses and findings in laboratory notebooks or study folders as appropriate according to workflow
• Draft SOPs and study reports
• Perform literature review for various drug pipelines and assays as required
• Meet project milestones with set quality
• Ensure scientific integrity of studies conducted and reports submitted

Requirements

• BSc or MSc in biomedical science, life science or equivalent
• Prior research and development experience are required
• Proficient in mammalian cell culture and aseptic techniques is a must
• Experience in ligand binding assays mainly ELISA, cell-based assays, SDS-PAGE, western blot and reporter assays is highly desirable
• Good knowledge of cell based (potency) or ligand binding assays required in drug development process
• Proficient with office software (MS office, Teams), and familiar with statistical tools (Graphpad Prism, XLSTAT or PLA)
• Knowledge of bioassays, bioanalytics and its method validation, GLP and ISO17025 is a plus
• Good written and verbal communication skills
• Superior problem solving and troubleshooting skills, attention to details
• Good interpersonal skills

Job Description

The Centre for Ageing Research and Education (CARE) is an academic research centre in Duke-NUS Medical School. Drawing on its multidisciplinary expertise and collaborations across medical, social, psychological, economic, and environmental perspectives, CARE’s research is situated in eight broad thematic areas: Population Health, Family Caregiving, Community-Based Health and Social Care Services, Productive Ageing, Falls, Ageing and the Environment, Health Communication, and Social and Psychological Aspects of Ageing.

CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults in Singapore. At Duke-NUS, CARE works closely with the Health Services and Systems Research (HSSR) Signature Research Programme, a centre of academic excellence for research and education on the organisation, funding and delivery of health services, and a focus is on public health and clinical service innovation in an increasingly complex and connected world.

We are seeking a full-time Research Assistant to join the team. The selected candidate will work across research projects, with the primary responsibilities including but not limited to the following:

• Perform data management including data cleaning, quality and consistency checks, and preparation of codebooks.
• Work with other researchers on interpreting and analysing quantitative data.
• Contribute to preparation of reports, policy and research briefs, presentations, and research papers.
• Conduct follow-up assessments of study participants over the phone.
• Support other project management tasks.
• Assist with other initiatives at CARE where required.

Job Requirements

• Bachelor’s Degree in Sociology, Epidemiology, Gerontology, Public Health, Psychology, Social Work, or other related disciplines.
• Prior work experience in quantitative data analysis will be advantageous.
• Possess strong communication and interpersonal skills.
• Able to take initiatives to learn on the job and manage assigned tasks.
• Motivated and detail-oriented with the ability to work independently as well as with others in a multi-disciplinary setting.

Candidates with relevant work experience may be considered for a Research Assistant (Senior) position.

Please attach a cover letter and a CV, with names and contact information of 3 referees. Applications will be reviewed on a rolling basis. We regret that only shortlisted applicants will be notified.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Health Services and Systems Research (HSSR) Programme at Duke-NUS is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’ s focus is on public health and clinical service innovation in an increasingly complex and connected world. The selected candidate will work in Cardiovascular Health Research Services Unit established under the CArdiovascular DiseasE National Collaborative Enterprise (CADENCE) national clinical translational programme. They will perform a variety of activities relevant to the planned economic evaluations for health interventions and assist a team of health economists.

Job Description

• Perform data cleaning, handling and analysis
• Perform economic evaluations in healthcare (cost analysis, cost-effectiveness analysis, cost-utility analysis or budget impact analysis) with guidance
• Assist in drafting research abstracts and manuscripts
• Assist in preparation of PowerPoint presentations to various stakeholders
• Conduct literature reviews to evaluate the potential value of health innovations
• Assist in preparation of evaluation reports for the health economics team
• Extract data from existing databases and published literature
• Manage projects from start to end with guidance (i.e. Develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform statistical analysis and engage and collaborate with various stakeholders)
• Support secretariat and administrative functions pertaining to the health economics team at HSSR

Job Requirements

• Bachelor’s Degree in any discipline. Master’s Degree in Public Health is preferred.
• Minimum 3 years of working experience with quantitative data
• Adept at working with data, including processing raw data to visualise trends and deciphering patterns and ability to handle large data sets
• Experience in various quantitative research methods preferred.
• Experience or training in health economics will be beneficial.
• Experience with R programming language, and a willingness to learn more applications
• Excellent verbal and written communication and interpersonal skills
• Able to work in a team, with dynamic reporting lines and multiple stakeholders
• Able to work independently with limited supervision
• Action-oriented, highly motivated and target-focused

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow in Carbon-Negative Synthetic Biology and Engineering of Cyanobacterial Cell Factories

We are seeking one or more highly motivated and creative postdoctoral researchers to join our dynamic team at the Synthetic Biology for Clinical and Technological Innovation (SynCTI), Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and the National Centre for Engineering Biology (NCEB).

The selected candidate(s) will be part of an interdisciplinary collaboration across various research groups. Appointments will be initially made on a 1-year contract, with the possibility of extension. We welcome applications from PhD holders, including those without prior experience.

Ideal candidates will possess expertise in cyanobacteria engineering and the development of cell factories for bioproduction. We particularly encourage applicants with a background in carbon-negative synthetic biology and biochemical production from CO2. The successful candidate(s) will closely collaborate with Prof. Jee Loon Foo, Prof. Julius Fredens, and our research team to advance the frontier of synthetic biology in addressing real-world challenges.

Join us in shaping the future of innovative biotechnology and making significant progress towards sustainability and technological advancement!

Main Duties and Responsibilities

The Research Fellow is expected to:

1. Manage and drive one or more research projects, design and execute experiments, assimilate and interpret results;
2. Solve scientific problems, think independently, and suggest creative solutions;
3. Write papers together with the PI for publication in high-impact journals;
4. Mentor graduate and undergraduate students.

Qualifications

The applicant should:

• Hold a PhD degree in molecular biology, bioengineering, or a related field;
• Have experience conducting research with cyanobacteria and extensive knowledge and hands-on experience with general molecular biology. Experience with genome engineering, general microbiology, and metabolite analysis is favourable;
• Have a strong record of publications in international journals;
• Be able to work independently and in a team, have an investigative nature, and be attentive to details;
• Be passionate about science, self-motivated, naturally take ownership of assignments, and proactively propose solutions to arising obstacles.

Application

Formal application: Please submit your application of (1) letter of motivation describing the applicant's research interests and relevant experience; and (2) full CV (up to two pages) including personal particulars, academic and employment history, complete list of publications, and contact of 2 referees by 30 May 2024.

Application

Remuneration will be commensurate with the candidate's qualifications and experience. Appointments will be on a 1-year contract in the first instance, with the possibility of extension. Those with no experience are encouraged to apply.

Informal enquiries are welcome and should be made to Asst. Prof. Julius Fredens ([email protected]). Website: https://syncti.org/

Job Description

Chronic unresolved inflammation is a key pathogenic feature of prevalent inflammatory disorders and related syndromes that together are predicted to affect close to 60 million people with an annual cost of $90B. As such, the global anti-inflammatory therapeutic market is in urgent need for new targets for therapeutic intervention.

The Ho lab at Duke-NUS is building a platform to mine the human genome for novel determinants of the inflammatory response. We are seeking an experienced researcher who will participate and drive the execution of this platform in collaboration with other senior members of the team. The selected candidate will be expected to work at the bench as well as manage some aspects of the project such as administration of documentation required for smooth operations. Successful completion of the project will lead to opportunities for transition to industry roles. Candidates with strong technical ability and expertise in inflammation biology, and who are interested in taking discoveries from the lab through to commercialization are strongly encouraged to apply.

• Perform tasks and support all aspects of the research project.
• Cell culture and basic molecular biology (western blotting, PCR).
• Preparation of samples for NGS and proteomics analyses.
• Liaise with stakeholders including investors and grantors through regular meetings.
• Responsible for procurement related to the project such as vendor management, purchasing of laboratory supplies.
• Regulatory paperwork pertaining to the project (IRBs).
• Perform other related duties incidental to the work described therein.

Job Requirements

• Master’s Degree in Biology or related discipline. Candidates with PhD will be considered for Research Fellow appointment.
• At least 5 years of work experience in lab-based research.
• Track record of scientific output in inflammation biology (research publications).
• Demonstrated experience in molecular biology and cell culture.
• Experienced in project management and stakeholder management, and able to undertake independent research progressively.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Join our physician-led cutting-edge metabolomics lab as a Bioinformatics Expert and help us make an impact in the world of precision medicine.

We are a dynamic research lab at the forefront of metabolomics, dedicated to advancing knowledge in metabolic pathways, biomarker discovery, and personalized healthcare. Our interdisciplinary team collaborates with both Singapore based and global institutions. We offer opportunity to work on innovative projects with a collaborative team and a patient-centric focus with access to state-of-the-art facilities and resources.

Main Duties and Responsibilities

Key Responsibilities:

• Develop and implement data extract, transform, and load (ETL) pipelines for metabolomics data (mainly LC-MS/MS based metabolomics).
• Perform data integration from multi-omics platforms (genomics, transcriptomics, proteomics).
• Apply statistical and machine learning techniques (preferably explainable models) for biomarker discovery in large clinical dataset.
• Maintain and update databases and in-house analytical tools for metabolite identification and pathway analysis.
• Lead or significantly contribute to successful collaboration in clinical cohort research.
• Derive clinically actionable insights from data patterns.
• Collaborate with biologists, chemists, and clinicians to interpret results and publish findings.

Admin:

• Assist the professor in writing grants & manuscripts for higher impact journals.
• Assist with ethics submissions.
• Attend meetings with the primary investigator and team members.
• Liaise with multi-national collaborators for commercialization and validation of our discoveries.

Qualifications

The applicant Must:

• Ph.D. or Master’s in Bioinformatics, Computational Biology, or related field.
• Proficiency in R, Python, and/or bioinformatics tools for metabolomics.
• Ability to build custom applets/scripts for data analysis.
• Ability to thoroughly explore large data sets (up to ~PB scale), derive hypotheses, and adjust analysis dynamically.
• Experience in database query (e.g. KEGG, Ensemble, HMDB, wikipathway).
• Awareness of data standards for clinical research and statistical analysis (e.g. EQUATOR Network)
• Strong analytical and communication skills.
• Experience in and/or knowledge of medical data, clinical processes or trials
• Experience in constructing clinical risk prediction models for biomarker research will be a plus.
• Experience in translating conceptual algorithms to implementable code will be a plus.
• At least 2 years of relevant research experience and prior publications will be preferred.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing 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 Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming skills

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’ s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements:

• Bachelor’s or Master’s Degree in Public Health or other related fields.
• Minimum 1 year of working experience in Singapore’s healthcare setting
• Have experience with Singapore’s IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

Job Description

The Duke-NUS Laboratory for Translational and Molecular Imaging (LTMI), Duke-NUS Medical School, is recruiting a Research Fellow/Senior Research Fellow specialising in Nuclear Imaging within the Immuno-Oncology domain.

The successful candidate will lead pre-clinical imaging efforts to validate novel imaging probes that target immune cell biomarkers. He/She will be responsible for the strategic planning, execution and communication of research. Candidates with strong records of scientific accomplishment in radiopharmaceutical sciences, immunology or related disciplines are encouraged to apply.

• Lead development of nude, syngeneic, and humanised mouse tumour models, with characterisation of immunophenotype with treatment response
• Collaborate on in vivo imaging strategies for pre-clinical characterisation of targeting probe specificity and sensitivity with PET/CT, SPECT/CT and/or optical imaging
• Monitor immune response to immunotherapies with longitudinal imaging assessments, supported with IHC, FACS
• Ensure regulatory compliance of research, including legal and ethical requirements
• Ensure timely reporting and presentation of study results to the team, and making appropriate decisions on data obtained from imaging studies
• Write and review research papers, and present at local and international conferences
• Provide guidance and mentorship to junior researchers, graduate and/or undergraduate students
• Demonstrate effective organisation/project management abilities to efficiently manage time and work activities

Job Requirements

• PhD in Immunology/Radiopharmaceutical Sciences or related disciplines
• Experience in multimodality imaging and image analysis (including PET, SPECT, CT and fluorescence) within the immuno-oncology domain is preferred
• Background in molecular biology, cell biology and oncology
• Experience in mouse studies (injection, anatomy, necropsy, pathology) is an advantage
• Proven track record of academic publications, including writing/drafting first author papers
• Self-motivated individual, enthusiastic to take initiatives, as well as able to work independently and collaboratively in a team
• Demonstrate excellent communication, technical independence, analytical and problem solving skills
• Enjoy team-work and collaboration

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a research fellow for the project on ultraprecision fabrication of functional components with additive manufacturing and micro-scale surface treatment. The candidate is required to conduct design and manufacture of the bespoke fixtures and tooling for post-processing of the 3D-printed geometries to meet the industrial requirements. He/she will also be responsible for reporting and coordinating with our stakeholders and writing technical papers.

Qualifications

Interested applicants are required to possess a PhD degree. He/she should have a good understanding in

1. Ultraprecision machining technology with excellent hands-on experience;
2. A solid background of micro-/nano-scale material removal processes and mechanisms with a good track record of publications;
3. Experienced in metal additive manufacturing and its post-processing methods; and
4. Mechanical and non-mechanical surface treatment and finishing techniques.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Associate in the Department of Computer Science, School of Computing (SoC). The School of Computing 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 largescale experimental systems and improving the wellbeing 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 Associate will be responsible for working closely with the Principal Investigator on one or more research projects. He/she should possess relevant experience in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• Master’s degree in Computer Science or related field
• At least 2 years of research experience
• Excellent programming skills

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

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 work to develop secure, isolated hardware platforms (for small, IoT-style systems) while maintaining efficiency and performance. This is done through the development of novel designs that enable isolation and security, even in the presence of shared hardware resources. He/she should possess experience or interest in at least one of the following research areas:

• Hardware and Systems Security
• Computer Architecture
• Energy Efficient SoC Design
• Simulation Methodologies (Cycle-level Microarchitecture Simulation)

Qualifications

• A PhD degree in a relevant area
• Good publication record
• Experience in research

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Institute of Operations Research and Analytics (IORA) is seeking a dedicated and skilled Research Engineer to support our research projects focused on the implementation and analysis of machine learning (ML) algorithms. The successful candidate will be instrumental in providing coding expertise, data management, and analytical support to a range of projects in operations research and analytics.

This is an excellent opportunity for recent graduates passionate about applying their technical skills to real-world problems, particularly in the field of machine learning and data analytics.

Key Responsibilities

• Coding and Implementation: Develop and implement machine learning algorithms and models to support IORA’s ongoing and new research projects.
• Data Analysis: Conduct data processing, exploration, and visualization, delivering insights that guide research conclusions.
• Model Evaluation: Collaborate with researchers to evaluate model performance, optimizing algorithms for robustness and efficiency.
• Documentation: Ensure thorough documentation of code, data pipelines, and research findings to facilitate reproducibility and project continuity.
• Collaboration: Work closely with research teams to understand project objectives, gather requirements, and provide technical support in the form of coding and data analysis.
• Maintenance and Troubleshooting: Manage and troubleshoot issues in codebases and data pipelines as they arise, ensuring smooth and efficient project progress.

Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or related field.
• Programming Skills: Proficiency in Python (preferred) or R, with experience in relevant libraries for ML and data processing (e.g., Scikit-Learn, Pandas, TensorFlow, PyTorch).
• Data Management: Familiarity with data extraction, cleaning, and preprocessing methods; experience with SQL or other database management tools is a plus.
• Machine Learning Knowledge: Understanding of machine learning fundamentals, including supervised and unsupervised learning, model selection, and evaluation techniques.
• Analytical Mindset: Strong analytical and problem-solving skills with attention to detail in data analysis and algorithm implementation.
• Team Collaboration: Ability to work collaboratively within a research environment, with effective communication skills to convey technical information clearly.

Preferred Experience

• Experience with version control systems, such as Git.
• Prior research experience or involvement in machine learning or data science projects is advantageous.
• Exposure to cloud computing platforms like AWS or GCP for ML model deployment (optional but a plus).

How to Apply

Interested applicants should submit their resume, a cover letter detailing their interest in the role, and any relevant project portfolios or coding samples that demonstrate their experience with ML and data analysis.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Fellow in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator (PI) and study team members to successfully deliver research outcomes pursued in several nationally funded projects:

Ischaemic stroke and cardiovascular diseases, focused on biomarker discovery and validation using preclinical vascular and animal models. A key focus of the work is to understand the reasons why strokes occur and how to identify high-risk individuals for more intensive interventions. This work leverages on a well-phenotyped repository of samples from stroke patients who have been meticulously characterized by whole-exome sequencing, RNA-seq and proteomics and outcomes collected in patients who were followed for more than 10 years.

Qualifications

The applicant should:

1. Have a good PhD degree in life sciences, biomedical sciences, biochemistry or bioengineering from a well-recognized university.
2. Experience with immunohistochemistry, molecular biology, microscopy techniques and computational analytical methods will be considered favorably.
3. Able to work independently and in a team, and must have good interpersonal and communication skills.
4. Possess good organizational skills for project planning, data analysis, manuscript preparation and grant applications.
5. Possess good understanding and knowledge of statistical methods using either R, Stata, Python or SPSS softwares.

Appointments will be made on a yearly contract basis with a good likelihood of extension.

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

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Professor Rachel Zhang and Jean Zeng are seeking a qualified Research Assistant to support data-driven academic projects. Responsibilities include data collection, cleaning, aggregation, advanced econometric analysis, and assisting with research papers and reports. Candidates must have a master’s degree in Economics, Statistics, Data Science, or a related field, with strong coding skills (Python, R, or Stata) and expertise in econometric methods. Prior experience in research, statistical modeling, and data visualization is preferred. To apply, send a cover letter, CV, and a sample of your coding or analysis work.

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

We are looking for a talented Research Fellow to study the short and long term outcomes of the host transcriptional/epigenetic response to respiratory viral infection. The selected candidate will perform a variety of research activities, which include planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following:

• Independently carry out the design and execution of innovative research aimed at understanding the host epigenome/transcriptome during Influenza A viral infection.
• Collaborate with team members on related projects in the laboratory.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for research that could have a considerable influence and impact on the relevant field.
• Provide support for external grant and protocol development, study design and management of research activities.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Molecular Biology, Virology, Genetics, Immunology, Stem Cell Biology or other related biomedical fields.
• Prior experience with bioinformatics, biostatistics, next generation sequencing technologies and/or stem cell biology would be advantageous.
• Experience with animal work (rodents) would also be an advantage.
• Demonstrate excellent quantitative, analytical and organisational skills.
• Possess interpersonal communications skills with excellent written and oral communications.
• A strong team player who is open-minded, independent, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

Salary and benefits will commensurate with educational qualifications and working experience.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Fellow will work closely with the Principal Investigator (PI) on theories and applications of learning-based control. The project will investigate and develop both deep reinforcement learning algorithms and conventional robust adaptive control methods, to develop safety-critical learning-based control algorithms that leverage the advantages of both model-based and model-free methods. In particular, the developed algorithms will be demonstrated through robust control of drones.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates will be responsible for conducting theoretical research and algorithm development. The candidates are expected to help the PI supervise junior PhD students as well.

The candidates should have a Ph.D. degree from a reputable university, with expertise in robust adaptive control, reinforcement learning theory, collision-avoidance trajectory optimization, etc.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, optimization, etc.). Strong publication records in leading journals and conferences are required.

Qualifications

• Possess a Ph.D. Degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Communication, Mechanical, or Information Engineering).
• Have substantial research experiences in robust adaptive control, reinforcement learning, learning-based control, model predictive control, etc.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and doctoral studies.
• Strong publication records in leading journals and conferences are highly valued
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of reinforcement learning and control for robotics applications.
• Activity performed in world-class research environments is highly valued.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing 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 Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming skills

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

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 Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Assistant will be responsible to, and work closely with, the Principal Investigator (PI) and his study team to successfully deliver research outcomes in the areas of ageing, stroke and cardiovascular diseases.

Familiarity and experience with molecular, cell biology, staining, advanced microscopy techniques, and computational analytical methods will be considered favorably.

Preference will be given to candidates who are able to analyse omics data and with familiarity with statistical softwares including SPSS or R.

Responsibilities also include the day to day management of laboratory operations such as procurement, preventive maintenance of equipment and laboratory safety.

Qualifications

The applicant should:

1. Have a good degree in life sciences, biomedical sciences, biochemistry, or equivalent from a well-recognized university, with a minimum of 2 years experience.
2. Able to work independently and in a team, and must have good interpersonal and communication skills
3. Possess good organizational skills
4. Have knowledge of common computer applications, e.g. MS office, PowerPoint, Excel, SPSS, “R”, Stata etc

Appointments will be made on a yearly contract basis with the possibility of extension.

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

Only shortlisted candidates will be notified.

Contract Period:

• 2 Jan 2025 to 31 Dec 2025 (12 Months) + 1 Year Optional renewal by school.

Deployment:

• Mondays to Fridays: 8.30am to 2:00pm, inclusive of 0.5hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Scope of Works:

1. Assist teachers in the preparation of teaching and learning resources and specimens needed.
2. Assist in the preparation of resources for science practical examinations.
3. Maintain all live specimens and laboratory equipment.
4. Conduct periodic stock-taking on laboratory supplies in science laboratory and advise Science HOD / LH on stock level
5. Conduct daily cleaning of the Life Science and Physical Science laboratories.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Prof Quek Su Ying on excitonic properties of layered materials under a project on Materials for Room Temperature Exciton Condensates: From Database to Laboratories.

The main responsibilities of the position include:

Using an electrostatic model combined with first principles calculations to compute the excitonic properties of selected layered materials with thicker layers.

Qualifications

• Qualifications / Discipline: Physics (PhD)
• Skills: First principles calculations, modelling
• Experience: Experience with first principles calculations in layered materials

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• Support full spectrum finance duties, including but not limited to procurement, payments, accounts receivables in line with hosting institutions and grantor guidelines
• Provide grant management administration, such as grant claims, progress report’s financial reporting and other grant variation request.
• Provide administrative support, such as assets management, filing, phone enquiries, mails collections, stationery orders, etc
• Provide finance and administrative support for Annual Scientific Meeting and assist in pre and post event activities
• Assist in other finance or administrative functions as and when required by team

Qualifications

Degree in Administration, Accounting or Finance, and minimum 2 years of work experiences

• Positive working attitude, proactive and willing to learn
• Good organization and communication skills
• Experience in SAP HANA, Ariba
• Good knowledge of Microsoft Office application like Excel, Word, Teams, DocuSign and online communication application is an added advantage

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software