Job Description

This is a full-time on-site role for a Research and Development Manager at Coval Technologies in Singapore. The Research and Development Manager will be responsible for leading R&D projects, managing research teams, and overseeing project execution. They will provide team leadership and contribute to the development of innovative nano coating technologies.

Qualifications

• A minimum of 10 years' experience with track record in formulating / developing new coating products with commercial release.
• Experience working with solvent-based paint chemistry
• Leadership abilities
• Experience in paint additive chemistry
• Project Management expertise
• Experience in industrial coating performance standards such as ISO, ASTM., etc.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to drive innovation and creativity in a team setting
• Experience in nanotechnology or surface coatings is a plus
• Advanced degree in Chemistry, Materials Science, or related field 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 Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint an exceptional candidate to the position of Postdoctoral Research Fellow to work on a major new project “Multifunctional and Adaptive Green-Grey Shorelines (MAGGShore)”. This interdisciplinary research aims to test strategies to enhance the ecological functioning of artificial shorelines.

The main responsibilities of the position include:

• Examine ecological processes on seawalls at multiple scales
• Identify suitable species and protocols for transplantation
• Develop and test new enhancement unit designs
• Coordinate with sister sub-projects
• Prepare research manuscripts, reports and presentations
• Mentor graduate and undergraduate students

Applicants should have completed a PhD in marine biology or ecology.They should have a history of publications consummate with their career stage. Research skills including leadership, excellent statistical and analytical skills, outstanding writing abilities, and the capacity to work within a diverse group of ecologists and marine scientists, are desirable. Candidates with experience in hard intertidal systems, ecological engineering, and nature-based solutions will be given priority.

Qualifications

PhD in Marine Biology or Ecology

Skills:

• Experimental design and analysis (including expertise in R)
• Strong written and interpersonal communication skills
• Excellent time and resource management
• Certified and experienced scuba divers would be preferred

Experience:

• Ability to conduct experimental work in field, lab, and aquaria
• Experience working with intertidal invertebrates
• Familiarity with nature-based solutions/ecological engineering
• Publication record consummate with career stage

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 Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint a Research Assistant to work on a major new project “Maximizing the beneficial environmental effects of tropical hybrid shorelines (MaxBETH)”. This interdisciplinary research aims to determine how hybrid coastal protection systems can be implemented at large scales in Singapore as well as assessing the challenges and benefits of up-scaling and identifying the effects of hybrid shorelines on biophysical processes.

The main responsibilities of the position include:

• Assist in administrative work to support the project
• Carry out intertidal and subtidal biodiversity surveys
• Coordinate with sister projects
• Prepare research manuscripts, reports, and presentations

Qualifications

Applicants should have completed a Masters degree or equivalent in biology, marine biology, ecology, geography, environmental studies, or other similar discipline. We may also consider applicants with Segrees in Engineering, Architecture, or Landscape Design. The candidates should have a strong passion for marine-related research. Research skills including species identification, statistical analysis, writing abilities, as well as the capacity to work within a diverse group of ecologists and marine scientists, are desirable. Candidates with previous first-authored ecological publications will be given priority.

Hold a bachelor’s and/or master’s degree in biology, marine biology, ecology, geography, environmental studies, or other similar discipline. We may also consider applicants with degrees in engineering, architecture, or landscape design.

Skills

• Experimental design and analysis (including expertise in R)
• Strong taxonomic and identification abilities
• Strong written and interpersonal communication skills
• Excellent time and resource management

Experience

• At least three years’ experience in a related field
• Ability to conduct experimental work in field, lab, and aquaria
• Familiarity with nature-based solutions/ecological engineering
• Evidence of published research would 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 successful candidate will work with Associate Professor John S. Ascher on environmental modeling of mosquito vectors and stinging wasps and bees and other insects of importance for public and environmental health under the CNRS@CREATE, SPACE project.

The main responsibilities of the position include:

Working with the appointment PI to validate as fit for use an existing specimen and community science dataset of insects of importance for public and environmental health, especially mosquitoes and stinging wasps. The appointee will then conduct species distribution modeling based on an existing pipeline already established for bee research and documented in a publication. The candidate will start with highest priority mosquito species such as Aedes albopictus and other well known species of public health importance will move on to other species as time allows.

Qualifications

MSc or equivalent level qualification in Biological Sciences required.

Skills:

The candidate must be familiar with environmental modelling and SDMs using software such as R and MaxEnt. Preferably this includes ability to address spatial biases.

Experience:

Experience with entomology, specimen and other databases, and coding in R for environmental modelling desirable.

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

This project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic and blast loadings. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistic and blast tests. He/she will also be required to set up the numerical models in commercial FE software (e.g. LS Dyna), validated against experimental data, to understand the mechanisms in resisting the high impact loadings for the various cementitious materials.

Job Requirements

• The research fellow should have a PhD degree in a relevant field, with experience in the following areas:

- 3D concrete printing;

- Laboratory ballistic tests;

- Design of blast tests for concrete specimens;

- FE simulations of blast loading on concrete structures.

• Strong written and spoken communications and able to present results.
• Open to fixed-term contract.

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

A Research Assistant is needed to provide technical, research, and administrative support for ongoing projects in our flexible electronics laboratory.

Responsibilities:

• Conduct experiments under the general guidance of the Principal Investigator (PI) and senior researchers; monitor, document, and report experimental results and research findings.
• Collect, manage, and analyze data; assist in preparing reports and research summaries.
• Contribute to the preparation of scientific manuscripts and other publications.
• Support project management activities and provide guidance to master and undergraduate students.
• Coordinate with vendors for the operation, maintenance, and servicing of laboratory equipment and facilities.
• Assist with the procurement of consumables and new equipment, working with the department, CPO, and Finance teams on purchasing and payment processes.
• Work closely with the PI and lab members on research-related tasks, assisting in the smooth functioning of the laboratory and research group.
• Perform ad-hoc duties as assigned by the PI.

Qualifications

• At least 1 year of relevant experience in a research or laboratory setting (preferred).
• Proficiency in laboratory safety protocols and adherence to best practices in a research environment.
• Willingness to work on a fixed-term contract.
• Strong ability to work independently and as part of a collaborative team.
• Excellent communication skills, both written and verbal, in English.
• Demonstrated leadership or supervisory experience in a research or team-based setting.
• A Bachelor's degree or higher in a relevant field such as Electrical Engineering, Biomedical Engineering, Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, Chemistry, Physics, or a related field.

Location: Hougang

Working Hrs: 40hrs/weekly

Responsibilities:

1. Manage day-to-day lab operations

2. Assist students and teachers during science lessons

3. Prepare equipment and materials for hands-on activities

4. Maintain lab equipment, materials, and specimens

5. Keep inventory and breakage records

6. Ensure lab safety and tidiness

7. Care for creatures in the lab (butterflies, chicks)

8. Support CCAs (E2K, Green Club)

9. Distribute teaching resources to science teachers

10. Handle chemicals safely

11. Provide first aid/CPR/AED (preferably certified

Qualifications:

• A minimum of 3 years of company experience in handling manpower services, working in an educational institution providing Science lab assistance.

• An equivalent combination of education and work with a minimum GCE ‘O’ level academic qualification.

• Able to work independently AND has work experience of at least 3 years with Primary school children, age 8- 12 as a Science lab assistance

Skills:

1. Laboratory management

2. Technical assistance

3. Organization and record-keeping

4. Safety protocols

5. Communication and teamwork

6. Basic first aid/CPR/AED knowledge

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 Research Engineer will be involved in developing computer models for assessing climate change impacts on marine ecosystems. He/she will also be involved in collecting field data for calibrating and validating model systems. In addition to the above, the Research Engineer is expected to also participate actively in research meetings, present research findings, write reports and research papers.

Job Requirements

• Possess at least a good Bachelor’s degree in Civil and/or Environmental Engineering or equivalent.
• Experience in computational modelling in environmental engineering or climate change is preferred.
• Open to fixed term contract

Job Summary:

• Industry: Healthcare
• Employment type: Part-time (20-22 hours/week), contract for 2 years
• Working location: Jurong West

Job Responsibilities:

• Collaborate and assist in designing and developing a new robust psychometric instrument, or validating an existing one, for measuring multimorbidity.
• Collaborate with study investigators to define key constructs and dimensions of multimorbidity.
• Develop survey items and scales that accurately capture the localised complexities of multimorbidity in a primary healthcare setting, adapting from existing measures and methodologies.
• Perform pilot testing and statistical analyses to evaluate the validity and reliability of the instrument(s).
• Present findings and recommendations to the study team
• Provide training and support to study team members on using the psychometric instrument(s).

Job Requirements:

• Master’s/PhD in social sciences, statistics, or a related field
• Proficient in statistical software (SPSS/R/STATA/NVivo)
• Knowledge of psychometric measurement theories (e.g. ITT/CTT) and research methodologies
• Expertise in quantitative and qualitative data analysis, including advanced statistical techniques.
• Ability to present complex data and findings.
• Experience in healthcare-related research projects is highly desirable.

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only short-listed candidates will be notified.

Registration No: R24123448 / EA Licence No: 12C6253

Job Description:

Be part of an exciting Team working on cutting-edge advanced packaging process technologies. Partner and work with various FAB users, to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to make sure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, and professional individual.
• Oversee the Team spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings, raise purchase requests accordingly.
• Take charge and provide day to day supports in all logistics needs and initiate material/spare parts procurement when required to ensure smooth Fab operations.
• Accountable for the inventory movements required to enable smooth lot operations across IME Premises.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time.
• Work seamlessly with various stakeholders to provide logistics support and deliver inventory on time.
• Work towards and employ critical thinking, put-up good initiatives to move forward to digitalization.
• Ability to work in a multi-task environment.

Experience:

• Education: Diploma in engineering discipline. Preferably in supply chain logistic/ warehouse operations.
• At least 2 years of warehouse operations.
• Preferably some experience in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.

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

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

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 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 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 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

The Global Centre for Asian Women’s Health (GloW) aims to build a global research platform for transdisciplinary endeavours to address major health concerns over a woman's lifespan and across generations. Through its main hub in Singapore, the Centre will engage in multi-disciplinary research to promote women’s health, including a series of diet and lifestyle intervention studies.

Purpose of the role

The project coordinator/manager will play a key role in dietary intervention studies by actively managing and coordinating diet and lifestyle intervention studies in GloW. Responsibilities include performing administrative duties to ensure the studies’ success and compliance. The staff will work closely with Principal Investigators of intervention studies, collaborate closely with the research team, food service team, and other relevant stakeholders, as well as undertake other ad-hoc responsibilities assigned by the Centre’s Director as needed.

Main Duties and Responsibilities

The staff will hold a few key responsibilities, including

• Recruit and interview study participants for the intervention study
• Provide administrative leadership for the trial, ensuring compliance with regulatory, ethics and governance requirements
• Train research assistants/research associates for the conduct of the intervention studies
• Maintain accurate records related to trial administration, participant interactions, and regulatory documentation
• Any other ad-hoc duties as allocated by the Centre Director

Qualifications

1. Possess a Master's degree (in Science or technology allied to food, health or nutrition, or relevant areas)
2. Strong interpersonal and communication skills
3. Excellent organizational and time-management skills
4. Sound understanding of the research environment
5. Adherence to high standards of professional integrity and ethics
6. Preferably with at least 6 years of relevant working experience for clinical research
7. Independence and adaptability in a fast-paced work environment, adept at working under tight deadlines
8. Commitment to the ongoing development of a positive organizational culture
9. Willingness to continuously learn and stay updated on skills and evidence-based medical information
10. Proficient in Microsoft applications (e.g. Excel, Outlook, Word, Powerpoint), online meeting tools

Application

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

Excellent leave and medical benefits by the National University of Singapore.

First round of application review will start on November 20th , 2024. Position will be closed on December 24th, 2024. Only shortlisted candidates will be notified.

Applicants should email 1) a curriculum vitae; and 2) name and contact information of three references.

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

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.

Job Description

We are looking for talented wet-lab Research Fellow to work with a multidisciplinary group of scientists on the discovery of new targets for therapy in Diabetic Nephropathy (DN), a devastating complication of diabetes causing significant morbidity, mortality and human suffering. In Singapore, the incidence of DN as a cause of end-stage kidney disease is among the highest in the world. The job will be part of the NMRC-funded project called Diabetes Study in Nephropathy and other Microvascular Complications II, and it will be based within the Centre for Computational Biology (CCB). This position will be for a period of 3 years, with possible extension depending on work performance and funding availability.

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 experimental research required by the research component of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in a related scientific area (e.g., Life Sciences/Biomedical Sciences, Pharmacology). Candidates with higher credentials may be considered for Senior Research Fellow appointment.
• Hands-on experience with transgenic models (breeding and maintenance) and surgery.
• Experience with rodents (mice/rats) phenotyping, including metabolic traits, biochemistry, histology and microscopy.
• Hands-on experience with wet-lab techniques in molecular and cell biology, including familiarity with primary cell cultures and inflammatory and metabolic cellular assays.
• Possess knowledge and experience in pharmacology and pharmacokinetics.
• Have a system-level understanding of human cardiometabolic pathology.
• Proven track record in the form of peer-reviewed research publications.
• Demonstrated capability of research independence progressively.
• Possess strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description

The Duke-NUS Cancer and Stem Cell Biology (CSCB) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special emphasis on cancers that affect the Asian community in general.

The selected candidate will play a key role in a natural products-based drug discovery program, conducting analytical chemistry, bioassays, compound management, molecular and cell biology, and biochemistry laboratory experiments under the supervision of the Principal Investigator or his/her designate, including but not limited to the following:

• Support all aspects of the research project.
• Conduct extractions and fractionation of natural products.
• Execute cancer and other mammalian cell culture assays.
• Carry out antibacterial and antifungal assays and assist with microscopy imaging of cells.
• Perform molecular and phenotypic analyses to understand mechanism of action.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Assist with general upkeep of laboratory needs, procurement of reagents, maintain safety protocols, provide technical support and establish work procedures to ongoing research projects.
• Perform other related duties incidental to the work described therein.

Job Requirements

• Bachelor’s or Master’s Degree in Analytical Chemistry, Chemical Biology, Pharmacology, or other related fields. Candidates with higher credentials may be considered for the Research Assistant (Senior) position.
• Familiar with organic and analytical chemistry techniques, including chromatography and HPLC.
• Demonstrated knowledge and possesses experience in cell and molecular biology techniques such as cell culture, western blot, RNA and DNA isolation, and RT-qPCR.
• Strong interpersonal communication skills with excellent written, and computer skills.
• Well-organised and excellent record keeping skills are a must.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description

The Duke-NUS Cancer and Stem Cell Biology (CSCB) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special emphasis on cancers that affect the Asian community in general.

The selected candidate will play a key role in a natural products-based drug discovery program. He/she will work both independently and collaboratively to analyse complex natural products using NMR and mass spectrometry, including metabolomic profiling to identify potential molecular targets and mechanisms.

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Source financial support for research activities by investigating potential sources of funding, collaborate with Principal Investigator to write and revise grant/fellowship applications.
• Provide guidance and mentorship to junior researchers.
• Ensure optimal progress of experiments in the laboratory by conducting, supervising, and evaluating laboratory procedures and outcomes. Revise and analyse targets to obtain high-quality and reproducible results.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Chemistry, Chemical Biology, or related discipline with 2 years of relevant post-doctoral experience.
• Demonstrate general expertise in the field of natural products isolation, metabolomics, and global profiling.
• Strong NMR and mass spectrometry skills in compound characterisation.
• Familiar with database and networking platforms for dereplication (e.g., GNPS).
• Proven track record in the form of high impact publications.
• Strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description

The Cardiovascular and Metabolic Disorders (CVMD) Programme at Duke-NUS houses state-of-the-art technologies for profiling mitochondrial function and metabolic adaptations in model organisms and undertakes translational research in cardiovascular and metabolic disorders. The program has a strong track record of publication in top-tier journals, successful commercialisation efforts leading to spin-offs, as well as nurturing early career researchers into independent academic or industry positions.

Metabolic dysfunction-associated steatohepatitis (MASH) is a severe metabolic liver disease that can affect up to 6.5% of the adult population, with only one FDA-approved drug. Dr. Jin Zhou’s team is specialised in studying the novel molecular pathogenesis underlying MASH for the identification of new druggable targets. The lab uses a combination of biochemistry, genetics, animal modeling, and metabolomics approaches to understand cellular processes related to mitochondrial function and hepatic lipid metabolism.

We are looking for a highly self-motivated Research Fellow to join the team. The selected candidate will perform a variety of research activities, including but not limited to the following:

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Maintain accurate and complete records of all findings and ensure the validity and reliability of data at all times.
• Present research outcomes orally, and draft research abstracts and manuscripts for publication.
• Provide guidance and mentorship to undergraduate/medical students and research assistants.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in Biomedical Sciences, Molecular Biology, Cell Biology, Pharmacology, or related disciplines.
• Hands-on experience with mice models, as well as wet-lab techniques in molecular and cell biology. Prior experience in polysome and/or ribosome profiling would be advantageous.
• Proven track record of academic publications, including writing/drafting first-author papers.
• Demonstrate excellent communication, technical independence, and analytical and problem-solving skills.
• Self-motivated individual, enthusiastic to take initiative, and able to work independently and collaboratively in a team.

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

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