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 Asst. Prof. Yang Liu on conducting research under a project on “Large Models for Control and Optimization”. The main responsibilities of the position include:

1. Develop AI algorithms for the research project
2. Implement the algorithms with Python and conduct numerical experiments
3. Theoretical analysis
4. Write papers

Qualifications / Discipline:

- Ph.D. degree in Mathematics

Skills:
- Control/optimization theories and algorithms, deep learning, Python

Experience:
- Experience in developing advanced control, optimization and deep learning algorithms are required

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 PI Ben Wainwright in the department of biological sciences at NUS.

Using samples from multiple marine species that have been collected along an approximate 6000km east to west transect from Sumatra to Papua New Guinea, the candidate will work on a project that seeks to explain why the marine ecosystems of the Coral Triangle are so biologically diverse, what facilitates and what restricts gene flow in the region, and finally, how can this information be used to advance marine conservation planning in Southeast Asia.

The main responsibilities of the position include, but are not limited to:

• DNA extraction, PCR, High-throughput DNA sequencing library preparation (Illumina, PacBio, ONT) and the associated techniques.
• Ensuring and maintaining smooth operation of the laboratory (ordering stocks, maintaining training records etc.)
• Assist in various administrative duties as part of project management.
• Analyze data and be involved in the production of peer reviewed articles.

The lab has numerous unique marine datasets/samples that candidate is welcome and encouraged to work on and pursue individual research interests.

Qualifications

BSc in Biology, Environmental Studies, Ecology and Evolution or related discipline. The candidate should have an interest in Marine Science and the conservation of marine ecosystems.

Skills:

• Familiar with molecular techniques (e.g., PCR, gel electrophoresis, DNA extraction, DNA Sequencing etc.).
• Familiarity/proficiency with data analysis in the R environment, ideally using population genetic tools such as APE, STACKS, adegenet etc. and the analysis of microbial amplicon data sets.
• Independent and self-motivated, and organised with attention to detail.
• Proficiency in English, both spoken and written, that are essential for communication of findings in scientific and other media.

Experience:

• Working knowledge of molecular labs and how they function.
• Analyzing evolutionary data (e.g., SNPs), and/or microbial amplicon data in packages such as DADA2 or QIIME2 etc.
• Proficiency with R.

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 position is available in the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of disease outbreaks.

Major duties and responsibility of the position include but are not limited to:

• Data collection and management
• Literature review
• Data analysis using software such as R
• Research coordination
• Preparation of reports, presentations, manuscripts.

The candidate must be an independent, highly motivated, and mature worker who is well-organized and demonstrates a growth mindset. Candidate must possess excellent written and verbal communication skills. He/She must have strong interpersonal skills and the ability to work effectively with colleagues to achieve team goals. Good proficiency in the following areas is preferred:

1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint
2. Experience in R, Python

The successful applicant is expected to possess at least a Bachelor’s Degree in Epidemiology, Public Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience.

Recruitment is open immediately and will continue until the position(s) is filled. Applicants should send a brief statement of interest, CV, references and other relevant supporting information in their application. They may contact [email protected] (PI: Borame L Dickens) for further information.

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

Work on hands-on experiments for few of the following tasks:

1. Design, Simulation, and Fabrication of Piezoelectric MEMS such as FBAR, SAW, MEMS resonators, MEMS microphones, and MEMS microspeakers
2. Fabrication of integrated sensors based on CMOS compatible process
3. Fabrication of nanosensors using e-beam lithography
4. Design and testing of MEMS devices for biomedical related applications and environment monitoring related applications
5. Design, modelling and testing of neuromorphic computing devices using MEMS and/or resistive elements
6. Write 2 or more research papers based on derived data of the above devices in the first year in the top-notch journals
7. Write research grant proposals
8. Supporting and guiding the experiments of FYP students and MSc students

Qualifications

1. PhD Degree in Electrical Engineering
   
2. Have learned Machine Learning related courses for one semester at post-graduate level and earned score of A- or better
3. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
4. With 3 years and more experience in making and testing Piezoelectric MEMS devices
5. With 2 year and more working experience in MEMS, Resonators design and Robotics applications
6. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS
7. Having more than three 1st-authored international peer-reviewed journal papers (for RF)
8. 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

The successful candidate will work with Dr Gloryn Chia on developing cancer vaccines.

We are seeking a highly motivated Research Fellow with expertise in Bioinformatics to join our team. The successful candidate will work closely with clinicians and scientists to develop and implement bioinformatics pipelines for identifying and validating cancer vaccine candidates, with the goal of translating research findings into clinical applications.

Responsibilities will include analyzing bulk and single-cell RNA sequencing data to uncover immune interactions within the tumor microenvironment (TME). Additionally, candidates will explore 3D protein structures to investigate protein-protein interactions and delve into the fundamental mechanisms underlying gene function. This will involve studying gene regulation, expression dynamics, and their impact on cellular pathways to uncover critical insights into disease biology and therapeutic targets.

The main responsibilities of the position include:
Bioinformatics analysis

Qualifications

• Qualifications / Discipline: Bachelor of Science or PhD in Bioinformatics

• Skills: R and/or Python

• Experience: Research or bioinformatics experience

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. Somin Park on next-generation optoelectronics under a project on start-up grant.

Our group is looking for candidates with a background in material synthesis (organic synthesis, polymer chemistry), photoelectron spectroscopy, photophysical characterization, or practical experience in optoelectronic applications. The ideal candidate will have the opportunity to develop and lead their own research projects while collaborating with interdisciplinary teams worldwide and providing mentorship to fellow team members.

The main responsibilities of the position include:
• Design and optimize materials for various optoelectronic applications
• Conduct electrical photophysical characterizations
• Mentor and supervise graduate students and research assistants working on related projects

Qualifications:

- A PhD in Chemistry, Physics, Materials Science and Engineering, Chemical Engineering, or related fields
- Strong publication record in peer-reviewed journals

Skills:
- Material design, characterizations
- Good communication skills, both written and verbal in English

Experience:
- Material synthesis, advanced characterizations, and practical experience in optoelectronic applications

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Prof Lu Jiong on scanning tunneling microscopy under a project on "Atomic engineering of zigzag-edged graphene nanoribbons towards next-generation spintronics".

The main responsibilities of the position include:

1) Atomic-scale material design
2) Quantum nanoscience

Qualifications / Discipline:

- PhD in Chemistry or Physics

Skills:
- Scanning tunnelling microscopy

Experience:
- Atomic-scale characterization

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 Dr QIU Yunyan on polymeric materials design and synthesis under a project on "Constructing precise mechanically interlocked polymers for highly dynamic and functional materials".

The main responsibilities of the position include:
- Developing new catalytic systems for controlled synthesis of mechanically interlocked polymers and frameworks;
- Identifying suitable monomers for controlled polymerization reactions;
- The synthesis and characterizations of functional polymers with control over their molecular weights and dispersities.

Qualifications / Discipline:

- Doctoral degree in Polymer Chemistry or Organic Chemistry

Skills:
- The design and controlled synthesis of polymeric materials
- Metal catalysed polymerization reactions
- Polymer characterizations
- Device fabrication

Experience:
- Extensive experiences in the design and precision synthesis of polymers and their structural characterizations

We are seeking a highly motivated and detail-oriented Research Analyst to join our team. The ideal candidate will be responsible for conducting comprehensive research, analyzing data, and generating insightful reports to support our clients' strategic initiatives. The Research Analyst will collaborate closely with our team members to deliver actionable recommendations and contribute to the success of our projects.

Job Description:

• Produce quality research on specific topic(s) assigned by the Board.
• Analyse data and provide write-up.
• Present complex information effectively to a range of audiences.
• Oversee contents, editing and publishing of publications both in print and electronic media.
• Draft proposals and provide links for research grants/funding and applications.
• Review RIMA’s research output and make recommendations to the Board.
• Publish article/opinion pieces on relevant issues affecting the Malay/Muslim community.
• Organise events and conduct fieldwork.
• Establish network within the Malay establishments as well as the mainstream institutions.

Job Requirements:

• Entry level candidates with a degree in social science or other relevant disciplines.
• Those with some research work experience and higher qualification would be considered for higher position.
• Experience in applied research, good quantitative skills.
• Knowledge of research techniques and methodologies.
• Experience in organizing seminars and conferences.
• Experience in editorial work and overseeing publications.
• An added advantage if you are/have:
• - Proficient in English, Malay and another relevant language (in order to handle concerns and feedbacks from English, Malay and another relevant language speaking counterparts in regards with the contents, editing and publishing matters)
• - Strong networking capacity
• - Awareness and prior experience pertaining to the dynamic of the Malay Muslim community.

Refer to RIMA website for their ongoing research projects https://rima.sg/research-clusters/

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.

About

The Department of Geography, NUS, is now firmly established as Asia’s leading Department of Geography, consistently ranked among the top geography departments globally, and part of NUS’s College of Humanities and Sciences. This reputation is in part built upon research excellence in three key areas: tropical environmental change, social and cultural geographies, and political and economic geography. We currently host around 40 faculty and more than 70 research students and staff (https://www.fas.nus.edu.sg/geog/).

We are looking for a Research Assistant or Research Associate to help to take our department’s research to the next level. The position of Research Assistant or Associate will be offered based on the qualifications and experience of the candidate.

Job Description

The key responsibilities for the Research Assistant / Associate will include but are not limited to:

• Work with various Principal Investigators and Research Groups in the Department to document research achievements and produce research reports
• Conceptualisation and execution of research related content that will communicate the Department’s achievements on various communications and media platforms, including but not limited to Instagram and LinkedIn
• Day-to-day management of the Department’s media and communications platforms
• Work with internal and external stakeholders to conceptualise and organise research related events and programmes

Qualifications

• Bachelor or Master’s degree in the social sciences. A background in media, marketing and/ or communications is advantageous
• Prior experience in research writing, communication and dissemination
• Proven ability in digital communications and marketing, including social media engagement
• Self-driven, highly motivated, collaborative, and able to work unsupervised and as part of a team
• Willingness to acquire new skills

Interested applicants are invited to submit a two-page CV, a media portfolio (if available), names and contact details of two referees, and a one-page cover letter explaining the candidate's past experience and aptitude in relation to the advertised role through the NUS Career Portal by 14 February 2025.

Further enquiries can be directed to Dr Shaun Teo ([email protected]).

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 successful candidate will work with Prof Frank Stephan, Prof Yang Yue and Prof Sanjay Jain on Mathematical Logic and Theoretical Computer Science under a project on connections between Automata Theory, Computa-tional Complexity and Recursion Theory.

The main responsibilities of the position include:
- Working with the PIs and other RFs on research topics in Mathematics. The topics are on automata theory, complexity theory and recursion theory.
- Writing, publishing and presenting papers (research findings) in journals and conferences.

Qualifications / Discipline:

- PhD in Pure Mathematics or Theoretical Computer Science.

Skills:
- Knowledge of Mathematical Logic, in particular at least one of Recursion Theory, Computational Complexity and Automata Theory.

Experience:
- Research experience on university level expected, either by prior employment or by work on a PhD thesis or published papers.

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

Work on hands-on experiments for few of the following tasks:

1. Design, Simulation, and Fabrication of Si Photonics such as Near IR/Mid IR Si photonics; Near IR/Mid IR Photodetectors; Si photonics sensors; Nanophotonics sensors
2. Fabrication of integrated photonics based on CMOS compatible process
3. Fabrication of plasmonics based nanophotonics structures using e-beam lithography
4. Design and testing of photonics devices for biomedical related applications and environment monitoring related applications
5. Design, modelling and testing of photonic neural networks (PNN) using Si Photonics
6. Write 2 or more research papers based on derived data of the above devices in the first year in the top-notch journals
7. Write research grant proposals
8. Supporting and guiding the experiments of FYP students and MSc students

Qualifications

1. Have learned MEMS or Si Photonics related courses for one semester at post-graduate level and earned score of A- or better.
2. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
3. With 3 years and more experience in making and testing guided-wave based photonics devices
4. With 2 year and more working experience in MEMS and Photonics design
5. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS;
6. Fluent in English speaking and writing
7. Having more than 3 1st-authored international peer-reviewed journal papers (for RF)

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 Dr QIU Yunyan on polymeric materials design and synthesis under a project on "Constructing precise mechanically interlocked polymers for highly dynamic and functional materials".

The main responsibilities of the position include:
- Developing new catalytic systems for controlled synthesis of mechanically interlocked polymers and frameworks;
- Identifying suitable monomers for controlled polymerization reactions;
- The synthesis and characterizations of functional polymers with control over their molecular weights and dispersities.

Qualifications / Discipline:

- Doctoral degree in Polymer Chemistry or Organic Chemistry

Skills:
- The design and controlled synthesis of polymeric materials
- Metal catalysed polymerization reactions
- Polymer characterizations
- Device fabrication

Experience:
- Extensive experiences in the design and precision synthesis of polymers and their structural characterizations

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

CARE actively engages with government and community partners to identify research gaps and inform implementation strategies to enhance the experience of ageing in Singapore. CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults, and their caregivers, in Singapore.

CARE’s quantitative research on ageing in Singapore is based on individual-level data collected through both cross-sectional and longitudinal community-based surveys of older adults and/or their caregivers. CARE is seeking to appoint a post-doctoral researcher to join the team as a Research Fellow, for conducting quantitative research and its publication and dissemination. A Senior Research Fellow position will be offered to candidates who demonstrate substantial relevant work experience and advanced skills in the field.

• Conceptualize and conduct quantitative analyses of individual-level survey data
• Draft and submit at least 4 papers per year in high-impact scientific journals, as lead author or co-author
• Write and edit policy/research briefs (at least 1 per year)
• Present and disseminate findings at international and national conferences, stakeholder meetings, and in public media outlets
• Develop and conduct workshops in quantitative research methods (at least 1 per year)
• Supervise and support the conduct of cross-sectional and longitudinal surveys
• Lead or assist in the writing and submission of competitive grant applications
• Assist with CARE’s other initiatives where required

Job Requirements:

• PhD in Gerontology, Sociology, Demography, Epidemiology, Economics, Public Policy, Public Health, or related fields
• Possess strong quantitative analysis skills and relevant experience in data preparation and analysis
• Familiarity with concepts relevant for geriatrics and gerontology research
• Proficient in Stata or R
• Have excellent written and spoken communication skills
• Motivated, detail-oriented, and able to work with others in a multidisciplinary setting

Interested applicants should fill up the online application on the Duke-NUS website. Please attach:

1. Cover letter stating your interest in the position
2. CV
3. Writing sample (single- or first-authored academic manuscript, published or unpublished)
4. Names and contact information of three referees.

Applications will be considered on a rolling basis. Only short-listed applicants will be notified.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Position – Research Scientist in Pharmacology Unit

CPR is seeking a scientist with expertise in in vitro and in vivo pharmacology studies. The candidate will also be responsible for disease target validation and have a strong background in the areas of either immunology and/or inflammation, fibrotic disease biology oncology, or chronic disease-related physiology. The candidate will lead antibody drug discovery project and participate in strategic discussions to advance programs through pipeline.

Job Requirements

The applicant should be highly skilled in at least a few of the following areas:

• Molecular Biology Techniques: Immunoprecipitation (IP), chromatin immunoprecipitation (ChIP), western blotting (WB), gene expression and DNA cloning.
• Confocal Microscopy: Immunostaining, fluorescent protein expression, localization analysis, and protein interaction analysis
• Primary Cell Isolation: Isolating primary immune cells from human blood and urine samples, as well as various mouse organ samples.
• Cell Culture: Culturing primary cells, cell lines, and creating stable cell lines.
• Flow Cytometry and Cell Sorting: Proficient in using flow cytometry and cell sorters for cell analysis and sorting.
• Immunological Function Evaluation: Analyzing the immunological functions of macrophages, monocytes, B cells, T cells, neutrophils, NK cells, pDCs, and cDCs, as well as evaluating the functions of compounds.
• Induced Pluripotent Stem Cell (iPSC) Technology: Establishing iPSCs and inducing neutrophils and macrophages from iPSCs.
• Exosome Research: Isolating and characterizing exosomes.
• Single Cell RNA Sequencing: Preparing samples for Single Cell RNA-seq.

The applicant must have completed and be awarded with a relevant Master's degree in Science or related field (not in the process of achieving it). In addition, the successful candidates must be able to demonstrate their molecular and cellular biology expertise as evidenced by projects, presentations, or peer-reviewed scientific publications.

Scientists with strong passion in medical science for creating and delivering innovative drugs to society which leads to saving patients suffering from unmet medical needs are highly desired. Familiarity or having prior work experience in antibody drug discovery work will be a plus, although not absolutely necessary. As frequent communication and liaison is expected between both the Singapore and Japan office, you should possess an excellent command of both spoken and written Japanese and English languages, excellent organizational and communication skills, team player mindset, as well as the ability to perform multi-task.

Interested applicants are invited to email their detailed resume, as well as their qualifications, availability, current and expected salary.

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed 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

A Research Fellow position is available in the research group of Professor Ho Ghim Wei at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).
The successful candidate will be expected to:

• Develop sustainable electronic materials and components, emphasizing eco-friendly processes and materials.
• Investigate and optimize the electrical, mechanical, thermal, biochemical properties of hydrogels.
• Collaborate with interdisciplinary teams, including materials scientists, biochemical scientists, and electronic engineers.
• Publish journal papers and meet grant deliverables.
• Perform routine laboratory duties.
• Assist with other tasks and responsibilities as assigned by their immediate supervisor.

Qualifications

• Possess a PhD Degree in advanced functional materials and devices for flexible electronics.
• Hands-on experience with material synthesis, advanced characterization tools, and laboratory instruments.
• A track record of publishing in high-impact journals related to materials science, electronic engineering, or related fields.
• Self-motivated, detail-oriented, and capable of working independently.
• Demonstrated ability to work effectively in multidisciplinary teams

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.

We are seeking for a research engineer to join our research team to work with PIs and co- PIs in the Department of Civil and Environmental Engineering and the Department of Architecture. This position's primary focus is developing tour-based destination choice models for Singapore’s future land use and transport systems using data-driven approaches.

Key responsibilities include:

• Collecting and analyzing relevant data;
• Designing tour-based destination choice models;
• Integrating developed models into Singapore’s existing tour-based transport framework;
• Working on research projects, supervising research students, and preparing research proposals and reports.

Job Requirements

• Possess a Bachelor and or MEng/MSc degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines).
• Masters graduates without experience are welcome to apply.
• Candidates should demonstrate a strong expertise in discrete choice modeling, statistical modeling, and machine learning methods.
• Strong interest and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
• Proficiency in transport planning software such as EMME or PTV Visum.
• Programming expertise in at least one language, e.g., Python, Java, or C++.
• Strong written and oral communication skills.
• 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

The Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Fellow to join our team and contribute to our ongoing research projects related to IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

Qualifications

The candidate must possess:

• Possess a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• Open to fixed term contract.

Project Overview

SMART CAMP (Critical Analytics for Manufacturing Personalized-Medicine) is an interdisciplinary research programme in Singapore (CREATE international research campus and innovation hub) and at the Massachusetts Institute of Technology (MIT). SMART CAMP addresses key technology bottlenecks in cell therapy manufacturing: (i) critical quality attributes (CQA) of safe, effective cell therapy products; and (ii) integrated process analytics to monitor and modulate those attributes. Our efforts are focused on allogeneic and autologous cell therapy products, including but not limited to cell sources including adult stem/progenitor cells and immune cells for treatment of specific cancers, tissue degeneration, and autoimmune diseases.

Responsibilities

The successful candidate will support interdisciplinary projects focused on translating candidate safety Critical Quality Attributes (CQAs) to improve the safety of cell therapy products and patient safety. He/She will work under the supervision of postdoctoral associates in SMART CAMP, with mentorship by principal investigators in Singapore and MIT. The successful candidate’s primary activities include but are not limited to routine mammalian cell culture maintenance and expansion, clinical sample processing and molecular-based activities according to established protocols in SMART CAMP, as well as general housekeeping and maintenance of lab inventory, consumables, SOPs and risk assessments.

Requirements

• Bachelor of Science degree, or Diploma in a biology-related discipline with minimum 1 year working experience
• Experience in mammalian cell culture is essential
• Experience in molecular biology is essential e.g., nucleic acid isolation, amplification (qPCR, dPCR or isothermal amplification assays) and detection
• Comfortable to work meticulously with clinical samples
• Comfortable/willing to work with BSL2 viruses
• Experience in cell manufacturing is an advantage
• Motivated to learn and achieve high consistency and reproducibility in experimental output
• Detail-oriented with good organizational skills, record keeping and time management

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

Job Description

The Cardiovascular and Metabolic Disorders (CVMD) Programme houses state-of-the-art technologies for profiling mitochondrial function and metabolic adaptations in human patients and other model organisms, and undertakes translational and clinical research in cardiovascular and metabolic disorders.

Dr Wang Yibin’s laboratory has a long-standing research interest in the fundamental mechanisms of cardiovascular and metabolic regulations in physiology and diseases. The laboratory employs state-of-the-art genomic and metabolomic approaches, aiming to identify novel players and mechanisms in transcription and post-transcription regulation, stress-signaling pathways as well as novel therapeutic targets relevant to cardiometabolic disorders. Dr Wang’s laboratory has an outstanding track-record of mentoring and supporting scientific career for students and fellows.

The selected candidate will perform a variety of research activities 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 Life Sciences or Biomedical Science and/or post-graduate Medical Degree with at least 3 years of relevant research experience. Training in Genomics and Metabolomics would be desired.
• Demonstrated very good knowledge, skills and expertise in R-package with potential to achieve research excellence.
• 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.

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 seeking Postdoctoral Fellows to join our research team to work with PI and co-PIs in the Department of Civil and Environmental Engineering and the Department of Architecture. The primary focus of this position is on developing destination choice models for future land use and transport systems using data-driven approaches.

Key responsibilities include:
• Collecting and analyzing relevant data.
• Designing tour-based destination choice models.
• Facilitating developed models into existing tour-based transport framework.
• Leading funded research projects, supervising research students, and preparing research proposals and reports.

This Postdoctoral researcher position is funded in the areas of urban and transport planning. Candidates should demonstrate strong expertise in discrete choice modeling, statistical modeling, and machine learning methods.

Job Requirements

• Possess a PHD degree in related discipline such as transportation engineering, operations research, computer engineering/science, or related disciplines.
• Strong knowledge and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
• Proficiency in transport planning software such as EMME or PTV Visum.
• Programming expertise in at least one language, e.g., Python, Java, or C++.
• Strong written and oral communication skills.
• 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

We are seeking Postdoctoral Fellows to join our research team to work with PI and co-PIs in the Department of Civil and Environmental Engineering and the Department of Architecture. The primary focus of this position is on developing destination choice models for future land use and transport systems using data-driven approaches.

Key responsibilities include:
• Collecting and analyzing relevant data.
• Designing tour-based destination choice models.
• Facilitating developed models into existing tour-based transport framework.
• Leading funded research projects, supervising research students, and preparing research proposals and reports.

This Postdoctoral researcher position is funded in the areas of urban and transport planning. Candidates should demonstrate strong expertise in discrete choice modeling, statistical modeling, and machine learning methods.

Job Requirements

• Possess a PHD degree in related discipline such as transportation engineering, operations research, computer engineering/science, or related disciplines.
• Strong knowledge and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
• Proficiency in transport planning software such as EMME or PTV Visum.
• Programming expertise in at least one language, e.g., Python, Java, or C++.
• Strong written and oral communication skills.
• 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

The National University of Singapore – which is the top ranked university in Asia – is recruiting a full-time Senior Research Fellow (Biostatistician) for the Saw Swee Hock School of Public Health (SSHSPH). The position will specifically work in the Biostatistics and Modelling Domain (BSMD) of SSHSPH. Researchers with existing research activities applying statistical methods in cancer, epidemiological studies, health promotion, physical activity, nutrition and primary care are particularly encouraged to apply.

Responsibilities include:

• establishing an independent research programme;
• providing statistical support for collaborative, multidisciplinary research;
• course design and teaching; and
• graduate student advising.

Qualifications

1. A recognized Doctoral degree in a relevant discipline with a strong post-doctoral research record;
2. Track record of publishing in international peer-reviewed journals;
3. Ability to generate and maintain an independent stream of funding;
4. Ability to teach public health courses at both undergraduate and graduate levels;
5. Ability to work in multidisciplinary teams;
6. Ability to work with culturally diverse populations.

Additional requirements to be appointed to the tenure track:
1. Track record of publishing in high-impact international peer-reviewed journals;
2. Experience in leading independent research studies;
3. Ability to develop an internationally renowned research programme.

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 Construction Performance Analytics & Innovation Research Unit (cPAIRu) at the Department of the Built Environment, National University of Singapore, concentrates on three primary research areas:
1) Project/Organization Performance Analytics and Innovations;
2) Project/Organization Management Strategies for Green Building & Infrastructure; and
3) Project/Organization Digitalization and Innovations.

As a leading international center for research and consultancy in the built environment industry, cPAIRu drives project and organizational innovations and fosters collaborations with both local and international academic and industry partners, while contributing to national development goals through partnerships among students and staff.

The cPAIRu is seeking a Research Assistant experienced in leading and executing research projects independently. The role demands a solid knowledge of project management and an in-depth understanding of digital transformation in the built environment industry. This includes knowledge of technological competencies, organizational readiness, regulatory and strategic developments, applications of smart technology, change management, and performance assessment. The Research Assistant's responsibilities will extend to administrative and management tasks associated with research projects, as well as pursuing a PhD degree under the guidance of the PI.

Ideal candidates should possess substantial research experience in relevant fields, robust data analysis skills, and, preferably, proficiency in programming for GenAI.

The successful applicant will perform academic development work as well as field practical work together with the other research staff/students under the guidance of the PI.

Job Requirements

• BEng/BSc in a relevant field, such as Project Management, Facilities Management, Infrastructure Management, Civil Engineering, Building Science, or related fields
• Solid knowledge and familiarity with project management, technological competencies, organizational readiness, regulatory and strategic developments, applications of smart technology, change management, and performance assessment
• Strong communication, team management, and independent problem-solving abilities
• Fluency in oral and written English

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

About Us
The National University of Singapore invites applications for Research Assistant (Engineer) in the Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine. The Alice Lee Centre for Nursing studies consist of a team of passionate and committed faculty, who takes pride in conducting multi-disciplinary and innovative research in different aspects of healthcare. Our commitment enables the translation of research into impactful healthcare outcomes and improve lives. More information on the department is available at https://medicine.nus.edu.sg/nursing/

The Role
In this position, you will be working on software engineering for implementing source code to develop a stand-alone mobile app-based platform for the collection, analysis of
data related to managing heart conditions. You will work closely with software engineers, data analysts, project managers and industry partners to produce software design and architectures for prototyping and validating platforms towards managingwellness for end users.

Responsibilities

What Will The Role Include
• Collaborate with the design team, other software engineers and product managers to design, build, enhance, and test new features
• Write clean and maintainable code that is properly tested and reviewed
• Understand the product thoroughly; Analyse, design and develop functionalities based on product requirements
• Work with researchers to implement and develop parallel and distributed systems
• Identify and fix problems to improve stability and user experience
• Explore and evaluate the practicality of new technologies to improve existing processes and/or products
• Participate in regular development meetings and client engagement events

Qualifications

• Bachelor's or Master’s degree in Computer Science, and Computer Engineering
• 2-3 years of front-end software engineering experience; candidate should prepare their software engineer portfolio repository for review
• Experience with iOS mobile app development is a must
• Knowledge of at least one of the server-side languages (Java, .NET, Python, Docker, Flask)
• Proficiency with fundamental front-end languages such as HTML, CSS, React Native, Flutter and JavaScript
• Understanding of JavaScript frameworks such as Angular JS, React
• Experience with prototyping software (Figma Developer Mode) is a must
• Candidate should be organized, meticulous, independent and has good communications skills
• Candidate should be able to work independently as well as be a player in multidisciplinary teams

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in project management and relevant research. Informal enquiries are welcome and should be made to Dr Abhinit Kumar Ambastha, E-mail: [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 the NUS Career Portal.