As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry-partnered Ignition research project where you will be part of a collaborative team exploring innovative ways of characterizing the physical and rheological properties of liquid personal care products and understanding the impact of these properties in product design and process development.

Key Responsibilities

• In this role, you will perform shear and extensional rheological characterization of a large variety of liquid personal care products including lotions, topical oils, and more. We will explore innovative and emerging methods of rheological characterization and analyzing rheological data to extract material parameters to build a database of materials. Working with our industrial partner we will establish an understanding of rheological properties that are useful for product formulation and process design related to lab and larger scale extrusion/dispensing applications.More specific responsibilities include:
  • Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met.
  • Undertake development of rheological protocols and characterization of liquid personal care products
  • Formulate model materials with various additives to understand their impact on product rheology
  • Design, execute, and interpret experiments independently and with support from the PI.
  • Prepare and deliver written articles, reports, and presentations for industrial partners and external audiences.
  • Attend and present at regular group meetings to receive feedback on work done and future plans
  • Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
  • Coordinate procurement and liaison with vendors/suppliers.
  • Work independently, as well as within a team.

Job Requirements

• Have relevant competence in the areas of rheological characterization and analysis, wet lab work, material formulation
• Have a degree in pharmaceutical engineering, chemical engineering, mechanical engineering, food or materials science/engineering, or a related field. Possessing a Master’s degree will be advantageous.
• Knowledge of any of the following will be advantageous: material dispensing/extrusion processing, material science, textural and sensory analysis

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development.
• Proficient in communicating via technical writing and presentations.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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

1. Conduct lab-based research and perform experiments.
2. Collaborate with colleagues both inside/outside the group.
3. Assist in daily lab management duties.
4. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner.
5. Ensure compliance with environment, safety, health and quality program requirements from all levels (e.g. university, faculty of engineering and the department of MSE).
6. Translation and commercialization. Training will be provided

Job Requirements

A bachelor and a master degree in Chemical Engineering, Material Engineering or related field is required. The candidate should have 2-3 years of experiences in doing 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

Duties and Responsibilities

(A) SPECIFIC (80%)

1. Conduct neuropsychological assessment and follow-up of patients and subjects for mood, anxiety, stress, resilience, personality traits, behaviour/habits, and emotional and social intelligence, ensuring standardised testing procedures are followed.
2. Collect, manage, and organise research data with attention to detail and data integrity.
3. Perform data analysis using statistical software (e.g. SPSS, R, Python) to identify trends and correlations related to cognitive impairment.
4. Assist in the preparation of research reports, manuscripts, and presentations for dissemination of study findings.
5. Maintain clear and accurate records of all research activities.
6. Collaborate effectively with a multidisciplinary team of researchers, clinicians, and data analysts.
7. Adhere to ethical guidelines and regulatory requirements for research involving human subjects.

​​​​(B) GENERAL (20%)

The Research Assistant will carry out other duties as specified by their Reporting Officer.

Qualifications

(A) EDUCATION, TRAINING AND EXPERIENCE

1. BSc, BA, BA (Psych) or a related background. Final year students are welcome to apply.
2. Proficiency in data analysis and statistical software (e.g. SPSS, R, or Python).
3. Strong organisational skills and attention to detail.
4. Excellent communication skills, both written and verbal.

(B) LANGUAGE

Fluent in English and Mandarin (We are recruiting personnel to perform Chinese language cognitive assessment for a mandarin speaking elderly population).

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 Summary

Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is seeking a dedicated and skilled Research Fellow to lead research on the ectomycorrhizal fungi and associated microbial communities in Dipterocarpaceae tree species across urban and forested landscapes in Singapore. This position plays a key role in advancing knowledge on plant-microbe interactions, contributing to conservation and ecological health of Dipterocarpaceae trees.

Duties and Responsibilities

• Lead fieldwork initiatives for the survey and collection of soils associated with the ectomycorrhizal fungi and microbiome of Dipterocarpaceae tree species across diverse environments in Singapore.
• Conduct health assessments of surveyed Dipterocarp trees, gathering data to compare markers of healthy and unhealthy specimens.
• Coordinate with the National Parks Board (NParks) for site access and to ensure accurate sampling locations.
• Perform assays to quantify soil properties and nutrient content in collaboration with team members.
• Conduct untargeted metabolomics on soil samples to identify microbial and metabolite profiles.
• Work closely with interdisciplinary teams to drive research objectives and achieve project outcomes.

Qualification

• PhD in Plant Ecology, Environmental Science, or a related field.
• Proven field experience in sample collection and ecosystem surveys.
• Strong collaboration skills and the ability to work effectively within a multidisciplinary team.
• Excellent written and verbal communication 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 Research Fellow in the Centre for Behavioural and Implementation Science Interventions (BISI), Yong Loo Lin School of Medicine. The centre aims to improve population health and well-being and healthcare delivery by accelerating evidence-based practice through the use of behavioural and implementation science. More information on the centre is available at https://medicine.nus.edu.sg/bisi/ . Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The successful hire is expected to provide assistance to the BISI Faculty in i) delivering the research projects that the Centre’s research strategy has identified as key priorities, ii) contribute to the writing and applications for competitive grants, iii) leading/mentoring junior researchers within a collaborative research team, and iv) deliver some teaching in behavioural and implementation science in both undergraduate and post-graduate settings.

The role is primarily a research-orientated one, however the post-holder will be expected to contribute teaching in areas of their expertise within the Centre’s expanding teaching curriculum in behavioural and implementation sciences.

Main Duties and Responsibilities

This is a regular full-time position of which the contract is renewable, subject to performance.

The chosen candidate will:

• Work closely with the team leads, collaborators, cross-disciplinary research teams and support staff
• Design and undertake research and provide expertise across a variety of research-related activities

Research-Related

• Perform systematic reviews of available evidence
• Design, planning and execution of research projects with behavioural and implementation science components;
• Analysis and interpretation of research data (qualitative; quantitative or health economics);
• Writing of research reports, peer-reviewed publications and grant applications;
• Dissemination of research proposals and findings through presentations internally and externally at scientific meetings and conferences.

Education-Related

• Mentor junior research staff
• Deliver teaching in behavioural and implementation science in undergraduate and postgraduate settings.

Qualifications

The candidate should possess:

• A PhD in a relevant discipline

Research-Related

• Experience in undertaking or leading, as appropriate for career stage, independent research studies;
• Track record of publishing in peer-reviewed journals commensurate with career stage;
• Track record of publications/presentations in international or national scientific conferences.
• Experience in a variety of quantitative methods for study design, data management, analysis and reporting – including experience in epidemiology, biostatistics or health economics methods;
• Experience in research software (eg Stata, SPSS, nViVO, Treeage)
• Experience in contributing to research grant proposals will be advantageous

Education-Related

• Experience in delivering and facilitating courses, workshops and training;

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Huang Weilin at [email protected].

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

We regret that only shortlisted candidates will be notified.

DesCartes Program (work package 9) is looking for research assistant in UI/UX design and library development. The objective is to develop a user interface and implement libraries as required for the DesCartes Builder, a novel open-source framework for designing, validating, and integrating innovative hybrid AI models and methodologies.

DESCARTES PROGRAM

The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).

The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, ARIA etc.).

The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.

Read more about the DesCartes program here.

DESCRIPTION

To facilitate the development of the next generation of urban systems, the DesCartes Program is currently developing a software framework that brings together AI components, physics models and data, modelization and control aspects. This framework, the DesCartes Builder, shall play an integral role in developing robust hybrid AI pipelines, as required for the design and deployment of digital twins of urban applications. As a research assistant, you will play a key role in developing the Builder:

• Craft a user-friendly interface:Design an intuitive interface that allows users to define, manipulate and execute the hybrid AI pipelines with flexibility and ease.
• Develop reusable components: Create robust and reusable libraries that will form the foundation of the DesCartes Builder framework.

EXPERIENCE & QUALIFICATIONS

• Minimum Requirements Bachelor or Master in computer science or engineering.
  A first relevant professional experience (master, internships…).
• Required Skills: Rigor, ability to work with autonomy and with a results-oriented mindset.
  Good interpersonal and communication skill; teamwork.
  Knowledge of Python and basics of machine learning
  Basics of UI/UX design
• Preferred Skills: Strong software engineering skills and development methodologies
  Experience with UI/UX design and UI libraries such as Qt,
  Knowledge of C++ & software optimization,
  Experience with Linux development environment (bash, make, etc.),
  Familiarity with machine learning and deep learning libraries (PyTorch, scikit-learn, etc.).
• Keywords: software engineering
  user interface
  library development
  human computer interface
  machine learning
  artificial intelligence

FURTHER INFORMATION & CONTACT

Gross Monthly Salary Range (SGD): 5,500 to 8,000 (depending on suitability and experience).

Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602.

Interested applicants, please send your application to:

• Blaise Genest (Prof): [email protected]
• Eduardo de Conto: [email protected]
• DesCartes – Hiring: [email protected]

Please send your application as a single PDF file including CV, cover letter and name/contact (including email addresses) of two referees.

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 Prof Barbaros Oezyilmaz and Dr Toh Chee Tat on lab support, sample preparation and characterization under a project on Large area synthesis and applications of atomically thin amorphous materials.

The main responsibilities of the position include:

1. Direct growth of MAC on target substrates using a UV-based CVD approach.
2. Transfer of 2D material, layer-by-layer assembly of the all-carbon transistors and memristors
3. Electrical tests of the devices, exploration of the transfer curves of transistors with thin amorphous dielectrics
4. Characterization of MAC (e.g. optical, electrical, Raman spectroscopy, Atomic Force Microscope, Scanning Electron Microscope).
5. Device fabrication of test samples for potential applications.
6. Data analysis and physical interpretation of the results.
7. Manage lab safety, equipment maintenance and operations.
8. Meet key deliverables for industry collaboration.

Qualifications

• Qualifications / Discipline: Bachelor's or Master's degree in materials science, engineering, or a related field, with a focus on thin film deposition
• Skills: Strong verbal communication skills in English, ability to solve problems and generate new ideas

Experience:

1. First-hand experience with operation and maintenance of CVD reactors and vacuum systems
2. Experience with electronics and the use of clean room is desirable

Cash Handling and Reconciliation: Receive and verify cash bags collected by couriers, ensuring quantities match Trust Receipts. Sort, pack, and seal cash bags for delivery to designated banks.
Issue and maintain manifests and Trust Receipts. Coordinate with couriers for bank deposits.
Manage cash float exchange, including packing, receiving, and banking.
Generate detailed reports on all cash transactions, including bags received and issued.
Maintain accurate records of float funds and conduct regular stock counts.

Inventory Management: Assist in issuing consumables to customers.
Record and track the quantity of consumables in and out of the vault.
Participate in periodic stocktaking of cash and consumables.

Security and Compliance: Adhere to strict security protocols and procedures to safeguard valuable assets. Maintain a secure and controlled environment within the vault. Ensure compliance with relevant regulations and internal policies.

Job Requirements:

• Previous experience in cash handling or a similar role preferred
• Strong attention to detail and accuracy
• Ability to work independently and as part of a team
• Excellent organizational and time management skills
• Strong numerical skills and basic computer literacy
• Ability to work in a secure environment with strict adherence to procedures
• Valid identification and clean background check
• Experience with vault management systems and security protocols
• Knowledge of relevant regulations and compliance standards

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 Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

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 highly motivated and competent research assistant to work on research focusing on peptide crystallization as a versatile platform technology for delivering biocompatible nanomaterials. The successful candidate will help with lab management and support ongoing research activities.

The main responsibilities of the position include:

a. Lab safety, ordering, and lab management (30%)

• To serve as a lab safety lead.
• To be responsible for lab ordering.
• To organise chemicals and consumables in the lab and update the inventory.
• To create and review standard operation protocols (SOPs) and risk assessments (RAs).
• To ensure cleanliness and tidiness of the lab.

b. Research tasks (70%)

• To perform peptide synthesis and characterization of synthesized peptides.
• To perform peptide crystallization and characterization of crystallized peptides.
• To test bioactivity of protein/peptide using bioassays.

Qualifications

Qualifications / Discipline:

• Bachelor’s degree in biology, microbiology, pharmacy, pharmaceutical science, chemistry, life sciences, materials science, bioengineering, chemical engineering, or related field.

Skills:

• Excellent time and project management skills.
• Excellent communication skills and great ability in written and spoken English.
• Be able to work independently and be a team player.

Experience:

• Experienced in bioassay preparation and handling.
• Experienced in crystallization and crystal characterization.
• Experienced in powder processing and characterization.
• Experienced in tablet preparation and characterization.
• Experienced in data analysis using softwares such as R, MatLab etc.
• Experienced in report writing and presentation preparation.

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 Research Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at [email protected].

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

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 (NUS) invites applications for the role of Research Assistant/Research Associate with the Heat Resilience & Performance Centre (HRPC), Yong Loo Lin School of Medicine. The HRPC is a first-of-its-kind research centre, established at the NUS, to spearhead and conduct research and development to better enable the future challenges arising from rising ambient heat. Appointments will be made on a two-year contract basis, with the possibility of extension.

The Research Assistant/Associate who will play a key role in assisting in the development, execution and analysis of research aimed at addressing the challenges of training and operating in rising ambient temperatures. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This role will provide you with a unique opportunity to not only develop your expertise in research planning and execution, but also to be a part of the team looking to generate fundamental and forward-looking solutions to working in the heat. There are also opportunities to pursue a part-time PhD with HRPC.

Main Duties and Responsibilities

The main areas of responsibilities of the role will include but not limited to the following:

• Working with research PIs and teams to develop new research ideas
• Performing literature searches, assimilating, and summarizing key information, as well as identifying knowledge gaps
• Designing and conducting relevant studies and surveys (qualitative and quantitative, including lab and outfield studies)
• Establishing and managing large databases
• Interpreting and analysis of data
• Generating reports and present data to relevant stakeholders
• Contributing to conference presentations and write papers for submission to peer reviewed journals
• Collaborating across teams, contributing to multiple research projects at once

Qualifications

A minimum qualification of a Bachelor’s degree in Exercise Science, Physiology, or equivalent. Candidates with strong data science and analytics background and keen to delve into heat health research are strongly encouraged to apply as well). Experience in statistics, data analysis and visualisation software (e.g. SPSS, Power BI), and computer applications (e.g. Microsoft Office, data management and online meeting tools) would be required as well.

In addition, the role will require the following job relevant experience or attributes:

• Keen interest in heat health and human performance
• Proficient in qualitative research
• Proficient in data analysis tools in quantitative research
• Two or more years of research work experience would be an advantage
• Proven knowledge of data collection methods
• Good written and verbal communication skills
• Good presentation skills and ability to write research reports for publication in reputable journals

Additional Skills

• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• High levels of attention to detail and quality
• Willingness to travel off-site and outside routine hours for data collection and undertake further training in relevant data collection procedures
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organizational culture
• Willingness to contribute to a learning environment

Application

The role is based in Singapore.

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 National University of Singapore invites applications for Research Associate (Computational and Laboratory Biology) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in both mathematical/machine learning methods and biological laboratory techniques. He or she will also be responsible for data analysis and for developing computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of statistical and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline. Industry experience in biotech or pharma would be an advantage.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Process and extract biological samples (tissue and clinical origin) for -omics analysis;
2. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. genomics, transcriptomics, proteomics);
3. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
4. Develop and maintain databases and data pipelines for biological data;
5. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
6. Communicate research findings through publications, presentations, and reports;
7. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

1. Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
2. Hands-on experience and skills in standard biological laboratory techniques;
3. Strong programming skills in relevant languages such as R and/or Python;
4. Experience with biological data analysis and interpretation;
5. Knowledge of biological systems and processes;
6. Excellent communication and collaboration skills;
7. Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at [email protected].

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

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.

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

• Conduct advanced research on energy and environmental systems to support policy-making for Singapore's decarbonization pathways.
• Participate in engagements with stakeholders and external research groups; supervise research students involved in the study.
• Produce policy reports, documentation and publish articles in reputable academic journals.
• Cultivate networks, initiate collaborations, and prepare funding proposals to support ongoing research.
• Perform administrative duties, including organizing seminars, workshops, and conferences, along with other responsibilities as assigned by the Head of Division or Principal Investigator.

Requirements

• Possess a master’s degree in energy systems modelling, energy and climate economics, or related quantitative research fields.
• At least two years of relevant research experience in areas including: national-level energy systems model (e.g. MARKAL-TIMES, GCAM, CGE), sector-specific energy system model (e.g. power, transportation, industry), techno-economic evaluation for energy and decarbonization technologies, or energy and environmental analysis (e.g. decomposition analysis, input-output analysis, life cycle analysis).
• A good understanding and interest in energy and environmental issues, such as energy supply, demand, trade, efficiency, energy and environment relations, and climate change.
• Experience in energy system model integration is a plus.
• Relevant working and practical experience in industry or government agencies in energy and environment in Singapore would be highly valuable.
• Track record of publications in reputable energy, environmental and/or systems modelling-related journals would be an advantage.
• Able to work independently and collaborate with team members.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on a Pharmaceutical Innovation Programme Singapore research project where you will be part of a collaborative team exploring innovative ways of understanding extrusion processing for pharmaceutical drug materials and products using rheological measurements.

Key Responsibilities

In this role, you will characterize mixtures of pharmaceutical excipients and drug materials to develop methodologies for screening hot-melt extrusion formulations and selecting optimal operating conditions using rheology, with the objective of producing amorphous-solid-dispersions. You will validate the developed processing space and operating conditions for extruded pharmaceutical formulations using a lab-scale extruder. In collaboration with researchers at the Singapore-MIT Alliance for Research and Technology (SMART), you will characterize the physical properties and performance of intermediate pharmaceutical drug products. The created methods will be transferred to the industrial partner to enhance their product development process using rheological characterization.

More specific responsibilities include:

• Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met.
• Undertake characterization of pharmaceutical active ingredients, polymeric excipients, and plasticizers for producing amorphous-solid-dispersions.
• Perform lab-scale hot-melt extrusion of pharmaceutical materials to validate predicted processing conditions and product outcomes.
• Collaborate with broader pharmaceutical research team at SMART.
• Design, execute, and interpret experiments independently.
• Author papers in high-quality journals in areas that are related to the research.
• Prepare and deliver reports and presentations for industrial partners
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team.

Job Requirements

• Have deep hands-on experience with at least one of the areas of polymer rheology, extrusion processing, pharmaceutical engineering with small molecules.
• Relevant competence in the areas of wet lab work, analytical instrumentation, material science and formulation
• Have an advanced degree in chemical engineering, mechanical engineering, materials science and engineering, or a related field.
• Knowledge of any of the following will be advantageous: rheology, physical characterisation, crystallisation, polymer melts, extrusion, material physics.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development.
• Proficient in communicating via technical writing and presentations.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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.

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

• Conduct advanced research on energy and environmental systems to support policy-making for Singapore's decarbonization pathways.
• Participate in engagements with stakeholders and external research groups; supervise research students involved in the study.
• Produce policy reports, documentation and publish articles in reputable academic journals.
• Cultivate networks, initiate collaborations, and prepare funding proposals to support ongoing research.
• Perform administrative duties, including organizing seminars, workshops, and conferences, along with other responsibilities as assigned by the Head of Division or Principal Investigator.

Requirements

• Possess a PhD degree in energy systems modelling, energy and climate economics, or related quantitative research fields.
• At least two years of relevant research experience in areas including: national-level energy systems model (e.g. MARKAL-TIMES, GCAM, CGE), sector-specific energy system model (e.g. power, transportation, industry), techno-economic evaluation for energy and decarbonization technologies, or energy and environmental analysis (e.g. decomposition analysis, input-output analysis, life cycle analysis).
• A good understanding and interest in energy and environmental issues, such as energy supply, demand, trade, efficiency, energy and environment relations, and climate change.
• Experience in energy system model integration is a plus.
• Relevant working and practical experience in industry or government agencies in energy and environment in Singapore would be highly valuable.
• Track record of publications in reputable energy, environmental and/or systems modelling-related journals would be an advantage.
• Able to work independently and collaborate with team members.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

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 Fellow will work closely with the Principal Investigator, Dr. WU Zhe, on several research projects of optimization of chemical and manufacturing processes through machine learning tools
• The Research Fellow will help to develop both theoretical and simulation study of machine-learning-based control and optimization algorithms to chemical processes.

Job Requirements

For Research Fellow Position:

• A PhD degree in a relevant area, e.g., Control Engineering, Chemical Engineering, Automation, Systems Engineering, Computer Science or Applied Mathematics;
• Good publication record;
• Experienced in advanced process control, machine learning, and programming languages (e.g., python, Matlab, C++, etc)

JOB DESCRIPTION

We are looking for highly-motivated and skilled programmers to join us in Biomed DAR (BII A*Star), to work on a new initiative in the development and deployment of software tools for data management support systems/biomedical data repository. Our work supports BMRC-wide research programmes and industry collaborations.

Successful candidates will work with a team of data scientists, data engineers and UI designers to program a web-application stack for automated data integrity checks, data curation, data annotation, and data imputation for structured data generated by research programmes. Successful candidates will have the opportunity to tap into a large pool of biomedical data from different disciplines and to interact with the companies/researchers to understand their real data needs.

JOB REQUIREMENT

· Minimum bachelor’s degree or diploma in the field of computer science, computer engineering, or other web programming intensive course. With expertise in at least one of the following areas: creating, maintaining, implementing APIs, front-end development, microservices architecture

· Possess minimum 5 years or more of relevant work experience.

· Ability to work independently to translate design templates and ideas into programs with efficient coding.

· Basic knowledge in data analytics and proficient in Python, Node.js, React, SQL

· Prior industry experience with engineering, financial services, healthcare is a plus.

· Able to deliver under tight schedule.

· Good team player with understanding of best practices and cybersecurity.

· Good interpersonal and communication skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

JOB DESCRIPTION

We are looking for highly-motivated and skilled programmers to join us in Biomed DAR (BII A*Star), to work on a new initiative in the development and deployment of software tools for data management support systems/biomedical data repository. Our work supports BMRC-wide research programmes and industry collaborations.

Successful candidates will work with a team of data scientists, data engineers and UI designers to program a web-application stack for automated data integrity checks, data curation, data annotation, and data imputation for structured data generated by research programmes. Successful candidates will have the opportunity to tap into a large pool of biomedical data from different disciplines and to interact with the companies/researchers to understand their real data needs.

JOB REQUIREMENT

· Minimum bachelor’s degree or diploma in the field of computer science, computer engineering, or other web programming intensive course. With expertise in at least one of the following areas: creating, maintaining, implementing APIs, front-end development, microservices architecture

· Possess minimum 2 - 3 years or more of relevant work experience.

· Ability to work independently to translate design templates and ideas into programs with efficient coding.

· Basic knowledge in data analytics and proficient in Python, Node.js, React, SQL

· Prior industry experience with engineering, financial services, healthcare is a plus.

· Able to deliver under tight schedule.

· Good team player with understanding of best practices and cybersecurity.

· Good interpersonal and communication skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. 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

• To assist in the data entry of MSc application processing
• To assist in the checking of any potential fraudulent cases pertaining MSc applications
• To assist in other MSc graduate student administrative duties

Qualifications

• GCE ‘O’ Level or equivalent or higher.
• 3 to 5 years of related working experience preferred.

Job Description:

We are seeking an AI/ML expert to drive AI in drug discovery in the area of pharmacology and pharmacometrics, including PK/PD, in the Bioinformatics Institute (BII). The PI will build a research group in BII and collaborate closely with clinicians and researchers to drive this effort across Singapore. The PI is also expected to lead or participate in grant proposals and work with industry to translate new technologies developed.

Job Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Deep experience in AI/ML methodologies related to drug discovery and pharmacology.
• 5-10 years’ experience in the drug development process.
• Outstanding record in publications, patents or securing research funds, or substantial industry experience.
• Strong management skills in leading a research team, executing projects and working with multiple stakeholders.
• Consistent track record in delivering outcomes for AI /ML projects related to healthcare and pharmacology.
• Excellent communication skills

The Biological Resource Centre (BRC) is an AAALAC International accredited and bizSAFE Level 3 certified laboratory animal facility that provides high quality animal housing and animal support services. BRC is seeking an Associate (Administration) to join us to support the administrative duties.

Job Description

• Working closely with Finance and assist in billing of customers.
• Follow up with customers on overdue invoices.
• Communicate with customers/vendors via phone, email or personally and investigate and resolve customer queries.
• Performance of Good Receipt.
• Maintain and update booking system details when needed.
• Collation of information for Management.
• Assist with Management / Financial reporting.
• Preparation of presentation slides.
• Carry out other duties and tasks that may be assigned from time to time.

Job Requirements:

• Diploma in Business or Accountancy, or equivalent.
• Proficient in Microsoft Office (e.g. Outlook, Word, Excel, PowerPoint).
• Excellent interpersonal and communication skills, meticulous.
• Ability to break down tasks into deliverables and set realistic timelines for completion.
• Ability to work independently and collaboratively in teams.
• Excellent spoken & written communication skills.
• Knowledge of SAP system will be advantageous.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The “Cellular Basis of Neural Diseases” laboratory in the Institute of Molecular and Cell Biology, A*STAR invites applications for a position as Senior Scientist I (Postdoctoral Research Fellow) in Cellular and Metabolic Therapies for Neurological Diseases.

The goal of the program is to derive clinically relevant neural cell types from induced pluripotent stem cells for development of novel therapies. This will be achieved through enhanced biological understanding of the disease progression and identification of new disease targets.

Interested candidates should have a PhD degree in Biomedical Sciences, Neuroscience, Stem Cells and Regenerative Biology or a relevant field. The ideal candidate should possess the following characteristics:

• Passionate and committed to advance the frontiers of Stem Cell/Neuroscience research
• Excellent communication skills (both written and oral)
• A team player who can perform well with colleagues as well as independently
• Proven track record of scientific research evidenced by strong publication record
• Experience with neural organoid cultures, as well as single cell RNA-seq analyses would be highly desirable
• Meticulous and organized

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with at least 5 years experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.