Total 2,071 Science / R&D / Research job vacancies in d23 hillview dairy farm bukit panjang choa chu kang

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 Tan Yan Shuo on statistical and machine learning theory under a project on the theoretical foundations of decision trees and ensembles.

The main responsibilities of the position include:
Proving theorems, forming new theoretical hypotheses, performing simulations, writing papers to communicate results, all under the PI’s direction.

Qualifications

• Qualifications / Discipline:
PhD in Statistics, Computer Science, or related field.

• Skills:
Strong mathematical training, deep understanding of statistical machine learning theory, especially in decision trees and ensembles.

• Experience:
Has several first author papers published in top machine learning venues (ICML, NeurIPS, AISTATS, JMLR).

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 Senior Research Fellow (Data Science & Statistics) in the Centre for Research in Health Systems Performance, Yong Loo Lin School of Medicine.

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

Job Description

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw See Hock School of Public Health.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 2-year full-time appointment at the academic rank of Senior Research Fellow (particularly strong applications at the level of Research Fellow will be considered). An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. There is the possibility to move to tenure track depending on performance. Start date is flexible, with the position expected to commence in the first half of 2024.

Purpose of the post

CRiHSP is hiring a highly motivated and experienced postdoctoral researcher. The successful candidate will bring a combination of technical expertise in data science and applied statistical methods in health systems research. They will make a significant contribution to setting up and developing the centre at this crucial stage in relation to its research, training, and evaluation and engagement areas of activity. The successful candidate will report to the CRiHSP Director of Research. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future of healthcare and clinical practice.

Main Duties and Responsibilities

The responsibilities include:

• Establishing an independent research programme as aligned with CRiHSP priorities by securing external funding;
• Supervising of junior research staff in data collection, analysis and dissemination;
• Contributing to research programmes and projects led by other researchers in CRiHSP;
• Facilitating the integration and curation of clinical and other routinely collected data across (NUHS)
• Contributing to postgraduate course design and teaching and on the job training of evaluation fellows; and
• Mentoring of students and junior researchers.

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances. In addition to these duties, the post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• A recognized Doctoral degree in Data Science, Statistics or a closely related field with a strong post-doctoral research record (essential)
  

Experience

• At least 4 years' postdoctoral experience
  Proven track record in handling and analyzing large healthcare dataset (essential)
  Track record of publishing in international peer-reviewed journals (essential)
  Researchers with existing research activities related to developing and using artificial intelligence methods in the context of health systems research are particularly encouraged to apply
  

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
  Strong leadership skills with the ability to work independently and as part of a multidisciplinary team (essential)
  Highly developed problem-solving skills and adept at managing complex research data (essential)
  Evidence of potential to generate and maintain an independent stream of funding (essential)
  Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  Ability to work with culturally diverse populations (essential)
  

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Prof Jose M Valderas 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) as well as a cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above.

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 Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

We are looking for a Research Assistant with experience in experimental atomic physics for a project in on quantum interfaces between internal atomic states and photons to prepare entangled atom-photon states. This position will involve the preparation of optical pulses with a well-defined time width and frequency, and requires experience with laser spectroscopy and single photon detection.

Additionally, knowledge of quantum state estimation will be advantageous. The Research Assistant will work in a group of experienced researchers in an academic environment.

Job Requirements

We expect the candidate to have an Honours degree in experimental Physics, fluency in English, and experience in an experimental optics lab. Ability to integrate into a diverse team of researchers is very important. Knowledge in typical numerical tools for simulation and experimental control of experiments is highly desirable.

We are seeking to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirement:

• PhD in Immunology or Cell Biology
• Possess at least a minimum of 3 years relevant work experience
• Substantial background and publication records in cancer immunology, particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and leading the project

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.

We are seeking to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirements:

• PhD in Immunology
• Possess at least a minimum of 5 years relevant work experience
• Substantial background and publication records in cancer immunology particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and lead the project

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

NUS is looking for a Senior Research Fellow to work on Digital Twin of microgrid (MGDT) with energy management system (EMS).

The job requires the candidate to build the digital twin model of the hybrid microgrid with EMS with different operating conditions of sub-system and its associated equipment before actual implementation. Further, this MGDT will be used for the EV applications, therefore, Smart EV Charging, Energy Storage Management System, Energy Storage System, etc to provide unified experience for operation team will also need to be considered.

Qualifications

• Possess a recognised PhD degree in Electrical Engineering or equivalent with specialisation in microgrid, or EMS.
• 3 or more years’ postdoctoral research experience.
• Able to work independently by conducting experiments alone or in teams when required, and possess strong experimental validation experience
• Familiar with working of renewable energy systems, digital twin, energy storage, optimisation and control algorithm development.
• Familiar with state-of-the-art simulation platforms such as MATLAB/Simulink.
• Able to work on multiple tasks and projects in a multi-cultural and dynamic environment, with industrial partners, governmental agencies and collaborators.
• Able to draft research proposals, assist the PI in applying for research grants, and manage the research funds.
• Good written and communication skills.
• Open to fixed-term contract.

Job Description

The Centre for Quantitative Medicine (“CQM”) in Duke-NUS Medical School invites applications from outstanding candidates to join a talented team of data analysts, data scientists and biostatisticians supporting cutting-edge research in a world class academic medical centre. The School embodies a strategic partnership between Duke University and National University of Singapore. It works closely with the Singapore Health Services cluster, a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. CQM is an academic centre for quantitative scientists and strives to bring the quantitative science and biomedical research communities together.

We invite applications for a Research Assistant/ Research Assistant (Senior) position for research studies related to Intensive Care Unit (ICU) and hospital length of stay after general ward admission from the Emergency Department.

The successful candidate will perform a variety of research activities which include but not limited to:-

• Perform systematic review on the literature.
• Conduct data pre-processing and data cleaning using R software.
• Write scientific reports and contribute to research papers.
• Collaborate on multiple projects within the lab.
• Attend project meetings and join journal clubs.
• Perform other academic duties as required by the Principal Investigator(s).

Job Requirements

• Bachelor's Degree in Statistics, Computer Science or other related disciplines. (Degree must be conferred by the start date of the appointment).
• Prior experience in analysing clinical data.
• Have experience with systematic reviews.
• Possess good communication and writing skills.
• Relevant prior work experience in research or healthcare will be advantageous.
• Self-motivated, a fast learner and team player with excellent interpersonal skills.
• Have good work ethics and a positive working attitude.
• Proficient in MS Office applications; Proficiency in R programming will be an advantage.

Interested applicants can send their applications including a CV and Cover Letter. We review applications on a rolling basis and 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

This project aims to automate the design of origami-based deployable building integrated photovoltaics (BIPV) to mitigate the energy consumption of skyscrapers. Buildings worldwide account for a third of energy consumption, BIPV offers a sustainable solution, embedding solar panels into building exteriors. However, the complexity of BIPV installation and a lack of skilled professionals impede their broader adoption. To overcome the challenge in installation, we’re introducing deployable BIPVs and developing a dedicated design tool tailored for origami-based BIPVs on skyscrapers.

The main research tasks for the project include but will not be limited to:

• Origami Pattern Design: To devise a comprehensive tool that facilitates the design of origami-based deployable BIPVs

• Thickness Accommodation: To establish a general thickness accommodation model that converts origami patterns into tangible BIPV prototypes;

• Prototyping and Testing: To fabricate a scaled laboratory prototype of the envisioned BIPVs

• Research & Documentations: document all research findings, tool development stages, and pattern designs for reference and publication

• Collaboration and Communication: Collaborate with research fellow, Ph.D. students, masters, and undergraduates in the group.

Qualifications

• Ph.D. in Origami Engineering, Structural Optimization, Mechanical Engineering, Mechatronics, or related disciplines.
• Experience in developing origami patterns, structural optimization, robotics, mechatronics, etc.;
• Excellent interpersonal and communication skills.
• Good teamwork abilities, self-motivation, and self-reflection.
• Proficiency in the English language, both in oral and written form.

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

Flexible electronics lab at NUS MSE is looking for a Research Assistant to work on a soft robotics project. This position requires following responsibilities;
- Design, fabrication and characterization of soft robotic devices.
- Working on experimental setup of actuator preparation, fabrication and characterization.
- Working closely with PI and lab members.

Qualifications

• Bachelor’s degree
• Experience on Control
• Experience on Robotics
• Experience on Design
• Individual and team work ability
• Good writing and communications skills
• Risk management and problem-solving ability

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.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Information Systems and Analytics, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:
• Artificial Intelligence and Machine Learning
• Blockchain and fintech

Only shortlisted candidates will be notified.

Qualifications

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

Company Overview:

Paratus Sciences (www.paratussciences.com) is a biotech startup dedicated to improving human health through an understanding of bat biology. We focus on identifying and developing groundbreaking therapeutics for a myriad of diseases by unlocking the secrets of the bat genome. The company received $100 million Series A financing in 2021.

In addition to powered flight, bats have evolved the ability to control inflammation, tolerate viral infection, resist cancer, accept extreme diets, and live exceptionally long lives for a mammal of their size. However, the elusive lifestyle of bats coupled with a lack of scientific tools and reagents has made the study of these extraordinary animals difficult and slow going. We are developing the tools and methods necessary to understand the extreme and unique attributes of bat biology and apply these insights to identify and develop new therapies to address some of the most challenging health issues facing humankind.

Position Overview:

Paratus Sciences is looking for an R&D Project and Operations Manager to join us at our Singapore site. Reporting to the Site Head and VP of Discovery Research, the focus for this role will be project management support for the R&D team, and managing site operations. The ideal candidate will have a background in the Life Sciences and experience in the biotech and drug discovery sector. You will collaborate closely with the Site Head and R&D team to coordinate the successful execution of R&D projects, optimize processes, and oversee operational aspects of the site. We are seeking a committed and collaborative team member who will thrive in a dynamic culture.

Responsibilities:

Project Management (primary responsibility)

• Serve as a coordinator on cross-functional teams to drive the successful execution of R&D projects.
• Develop and maintain project plans, timelines and milestones to track progress and ensure alignment with company goals.
• Facilitate communication and collaboration among team members, stakeholders, and external partners to align project goals and priorities.
• Identify and mitigate project risks, resolve issues, and ensure timely delivery of project deliverables.
• Coordinate project planning, scheduling, and milestone tracking to ensure timely delivery of project objectives.
• Create and maintain accurate and up-to-date project documentation, including project plans, meeting minutes, and progress reports.

Operations Management (secondary responsibility)

• Oversee day-to-day operational activities to ensure efficient and effective functioning of the Singapore site.
• Manage site operations, including the coordination with facilities management, IT, and corporate services.
• Develop and implement operational processes, policies, and procedures to optimize workflow and productivity.

Budget and Resource Management

• Work closely with management to develop and manage project budgets, forecasts, and expenditures.
• Monitor resource allocation and utilization to maximize efficiency and cost-effectiveness.
• Identify opportunities for cost savings and resource optimization while maintaining high-quality standards.

Qualifications and Skills:

• Bachelor's, Master’s or PhD degree in the Life Sciences or a related field; advanced degree or certification in project management (e.g., PMP) is preferred.
• Minimum of 3 years of experience in project management within the biotech industry. Experience with operations management or related roles is a nice to have.
• Proven track record of successfully managing cross-functional teams and projects from conception to completion.
• Strong organizational, analytical, and problem-solving skills with the ability to prioritize tasks and meet deadlines in a fast-paced environment.
• Excellent communication, interpersonal, and leadership skills with the ability to build effective relationships and influence stakeholders at all levels.
• Proficiency in project management methodologies, software and other relevant tools.
• Experience in budget management and reporting would be considered a plus.
• Team player with a positive, proactive, can-do attitude.

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 Division of Allergy & Immunology at the Department of Paediatrics, Yong Loo Lin School of Medicine, NUS is looking for highly motivated and enthusiastic candidates with a keen interest in clinical translational research in vaccine immunology to join our team as a Research Fellow. We run cohort studies, observational studies and clinical trials in Paediatric Translational Vaccinology to understand the immune correlates of protection, and determinants of adaptive vaccine responses in children.

Appointments will be made on a one-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Fellow will be responsible to, and collaborate with, the Principal Investigator and study team members to conduct various research projects in the field of Paediatric Vaccine Immunology to achieve high quality and impactful deliverables. Specific roles include design and conduct of immunological experiments, data analysis, engagement with external collaborators, and preparation of manuscripts as lead author and conference presentations.

Main Duties and Responsibilities

The Research Fellow will be expected to conduct original research and contribute to the research activities of the group. The RF will be able to:

1. Independently design and optimize ELISA, flow cytometry and cell culture based immunological experiments
2. Conduct experiments to a high standard of accuracy and precision, and supervise research assistants to do the same
3. Select appropriate subjects for experiments based on clinical questions of interest to the Principal Investigator and research team
4. Perform data cleaning, statistical analysis and data visualization using a variety of statistical methods including bioinformatics platforms such as R and Python
5. Perform literature searches and scientific writing in the form of grants, manuscript, reports, reviews, abstracts, poster and oral presentation
6. Assist with administrative duties such as overseeing and planning of study milestones, budget and deliverables with the program admin lead
7. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
8. Assist with any other duties of a similar nature that are delegated by the PI.

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position.

Qualifications

The applicant should:

1. Have a PhD in Biomedical or Biological Sciences or Bioinformatics;
2. Have at least 2 years’ experience with data analysis, working with advanced statistics and grant/manuscript writing;
3. Be able to work independently and in a team, have an investigative nature, self-motivated with initiative;
4. Have outstanding organizational skills and interpersonal skills;
5. Have strong communication skills, both written and verbal and excellent facilitation and presentation skills;
6. Have strong troubleshooting and problem-solving ability;
7. Have knowledge of computer applications, e.g. MS office (Word, Excel), PowerPoint, Adobe, Stata/SPSS, GraphPad Prism and Referencing software;
8. Experience in Bioinformatics expertise is favorable
9. Competence in R or Python or equivalent programming knowledge is desirable

Application

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

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This position is for postdoctoral research in the exciting areas of either CO2 capture, CO2 conversion, and bioelectrochemistry in the Andrew B Wong group, which is affiliated with the Department of Materials Science and Engineering at the National University of Singapore (NUS) as well as with the Department of Chemical and Biomolecular Engineering at the National University of Singapore (NUS).

The ideal candidate would possess expert-level knowledge of electrocatalysis, bioelectrochemistry, or similar chemistries with a publication track record as a first author in leading journals (Impact factor >10 or more). Experience with materials characterization techniques such as SEM, EDS, EELS TEM, STEM, XRD, XAS, XPS, FTIR, AFM, STM, and/or Raman would be desirable. Comfort discussing research fluently in English is also highly desirable.

Those applicants who meet the requirements and pass the preliminary review will be notified via email to arrange an interview. Recruitment advertisements are in effect until the positions are filled.

Job Requirements

1. PhD degree in a related discipline (Chemistry, Chemical Engineering, Materials Science, Physics, or a related field). A strong understanding and extensive experience in electrochemistry/electrocatalysis or bioelectrochemistry is strongly preferred.

2. Applicants should have excellent research skills, experiences, and traits, such as:
a) Able to demonstrate a track record of novel research (First author papers in IF >10 journals)
b) Able to understand, analyze, and critique literature
c) Able to formulate and propose research directions
d) Able to demonstrate a rigorous and earnest attitude towards research
e) Able to work well in interdisciplinary or multicultural team settings
f) Able to carry out scientific research independently
g) Able to mentor undergraduate, master’s, and PhD students
h) Able to manage routine logistics of research

3. Applicants with at least one of the following experiences are preferred:
a) Rich experience in nanomaterial synthesis and characterization for catalysis (such as synthesis of new catalysts)
b) Research background in electrocatalytic reactions (including but not limited to CO2RR, OER, HER, etc.) and/or with electrolytic cells ( such as flow cell, membrane electrode assembly, solid-state electrolyte, etc). Applicants with unique insights and research ideas on the development of carbon dioxide electrocatalysis and cell design or electrode design are particularly desirable.
c) Experience with in-situ or in operando characterization of electrocatalysts, including FTIR, Raman, or XAS characterization, etc.
d) Research experience with halide perovskite materials, including design and synthesis of new materials, device fabrication (PV and/or LED), and characterization.
e) Experience in high-temperature electrochemistry using molten salt electrolytes.
f) Experience in bioelectrochemistry.

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 Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a post-doctoral research fellow. The successful candidate will work on developing a novel floating hybrid tidal-wave energy system. Computational fluid dynamics (CFD) simulations will be conducted for design and analysis. Hydroelasticity of the tidal turbine blades will be considered.

Job Requirements

• Possess a recognised PhD degree in hydrodynamics, marine renewable energy, or a related discipline
• Experience with CFD simulations and hydrodynamic analysis.
• Knowledge of coastal dynamics such as waves and tides.
• Strong writing and communication skills and able to present research results clearly.
• Good publication record is advantageous.
• Open to fixed term contract.

Job description
The candidate will be part of a team solving computational bioengineering problems. The responsibilities include but are not limited to:

• Research, develop and evaluate algorithms and implementations
• Work with team members to develop disease transmission models
• Brainstorming technical solutions

Job requirements

• Master or Bachelor degree in chemical engineering and bioengineering related fields
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in academic research
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving 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.

The Student Affairs and Services Manager reports to the Vice Principal(Administration) and supervises the department.

He/She is responsible for the management of student affairs matters such as:

· Overseas trips

· Admissions, withdrawals and leave of absence

· Insurance

· Student surveys

· Student finance matters

~ Bursaries, scholarships and Edusave

~ Government grants for students

~ Payment for school enrichment programmes, equipment and other purchases payable

· Communications with parents

· Student-related administrative matters

· Internal and external student services such as:

~ Uniform

~ Bookshop

~ Sickbay

~ Dental

The Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with public sector and industry partners. EDDC now has an opening and is seeking to recruit a highly motivated Research Officer for the IFP in the Oncology Discovery team at EDDC. The successful candidate will undergo an eighteen-month on-the-job training programme that involves participation in and supporting inter-disciplinary and collaborative drug discovery projects. This is an exciting opportunity to be a part of the team working on the discovery of novel therapeutics and engaging in preclinical drug development from target exploration to drug candidate selection.

Principle Roles & Responsibilities:

• Develop and perform biochemical, biophysical and cellular assays for functional characterization of small molecules and biologics.
• Analyze and present experimental data in a clear and concise manner, demonstrating a good understanding of its utilization and implications in the context of drug discovery.
• Perform molecular cloning, stable cell-line generation and CRISPR/Cas9 genome editing.
• Support laboratory housekeeping, safety check, SOP writing and other administrative and compliance-related processes.

Requirements:

• Degree or postgraduate degree in biology, biochemistry, biomedical sciences or related disciplines.
• At least 5 years of relevant experience
• Proficient in designing and conducting experiments within the areas of cancer biology.
• Experience in molecular biology and genome editing using CRISPR/Cas9.
• Experience in establishing high-throughput screening assays with the aim of identifying hits is a plus.
• Attention to detail, strong analytical and problem-solving skills.
• Ability to multitask and prioritize tasks, deliver results within timelines.
• Good written and oral communication skills, with meticulous record-keeping.
• Possess strong interpersonal and collaborative spirit.

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

The laboratory of Presidential Young Professor Liu Yuxin at National University of Singapore (NUS Bioelectronic lab website: https://www.lab-liu.com/) seeks postdoctoral fellows with strong enthusiasm and interest in electrochemical sensors, wearable electronics, flexible electronics, and bioelectronics research. As one of the PIs in the Welcome Leap Dynamic Resilience Program (https://wellcomeleap.org/dr/), our team will develop novel biosensors and bioelectronics to capture and analyze digital dynamic resilience biomarkers, including metabolic biomarkers (e.g. Glucose) and inflammatory biomarkers (e.g., CRP). Particularly, we will develop AI-integrated wearable electronics technology with a new sensing mechanism for biochemical dynamic resilience biomarkers.

Key Responsibilities

• Lead and manage multidisciplinary research project
• Design and conduct research in electrochemistry, sensors, printed electronics and flexible electronics research area
• Work with clinicians and physicians for human clinical study
• Prepare and draft manuscripts for high-impact journals

Qualifications

• Research experience in electrochemical-based biosensors. Particularly, a research background in wearable electrochemical sensors is advantageous.
• Obtained or expecting a PhD degree in Biomedical Engineering, Chemistry, Electrical Engineering Material Science and Engineering or related fields
• A strong interest in bioelectronics, wearable electronics, electrochemical sensors, flexible electronics. Scientific curiosity and motivation to perform scientifically rigorous experimental work
• Excellence in conducting independent research with great critical thinking and experimental design. Interested in working in a multidisciplinary team and leading a multidisciplinary project
• Strong verbal and written communication skills in English
• Previous research experience in conducting polymers, hydrogel, flexible electronics and microfluidics is advantageous.

To apply, please send your cover letter, CV and names of 3 references (name, institution, email).

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 position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Duties And Responsibilities

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

RESPONSIBILITIES

• Provide expert advice to on-board new users to NSCC’s systems.
• Engage with new researchers, communities and disciplines with data-intensive computing.
• Translate user requirements into optimal computational work plans.
• Assist in the design of NSCC's HPC systems, including benchmarking NSCC workloads on various platforms and recommending the most suitable architecture for the research community.
• Design and implement scalable and performant HPC software infrastructure with ease of maintenance.
• Analyse system and user job data for efficient resource allocations and management.
• Profile and optimise the user applications and workflow on the NSCC's HPC systems.
• Develop HPC utility and automated testing tools for NSCC's HPC systems.
• Develop HPC user guide and best practice guide documents for NSCC's HPC systems.

QUALIFICATIONS

• Master or Bachelor degree in the field of computer science, computer engineering, or other relevant areas.
• Proven working knowledge of HPC system and software.
• Experience with HPC development toolchain and scientific application software stack (GCC, oneAPI, AOCC, AOCL, MPI, CUDA, HDF5, NetCDF, MKL, and FFTW) for building HPC software is essential, knowledge in using Spack or EasyBuild is a plus.
• Strong programming skills in C, C++, and Python, familiar with Fortran programming is a plus.
• Good knowledge and experience in HPC performance optimization and troubleshooting.
• Familiar with HPC job schedulers (PBS or SLURM), OpenMP & MPI, and container technologies (Docker or Singularity).
• Familiar with scripting languages, Linux and HPC profiler & debugger tools e.g. AWK, Bash, Perl, Conda, GDB, Git and IPM.
• Familiar with HPC storage e.g. GPFS and Lustre.
• Demonstrated good team play spirit and high-level problem solving skills.
• Demonstrated effective communication skill including the ability to articulate technical concepts to a diverse range of clients.
• Demonstrated ability & willingness to contribute novel ideas and approaches in support of research community.
• To be considered for a senior position, the candidate should have at least 3 years of relevant experience in a similar position and environment.
• Familiar with AI software stack (PyTorch and Tensorflow) and programming is a plus.
• Familiar with database technology (MySQL, Cassandra, etcd, MongoDB and Redis) and programming is a plus.
• Good knowledge and experience in HPC analysis and data analytics is a plus.

RESPONSIBILITIES

• Provide expert advice to on-board new users to NSCC’s systems.
• Engage with new researchers, communities and disciplines with data-intensive computing.
• Translate user requirements into optimal computational work plans.
• Assist in the design of NSCC's HPC systems, including benchmarking NSCC workloads on various platforms and recommending the most suitable architecture for the research community.
• Design and implement scalable and performant HPC software infrastructure with ease of maintenance.
• Analyse system and user job data for efficient resource allocations and management.
• Profile and optimise the user applications and workflow on the NSCC's HPC systems.
• Develop HPC utility and automated testing tools for NSCC's HPC systems.
• Develop HPC user guide and best practice guide documents for NSCC's HPC systems.

QUALIFICATIONS

• Master or Bachelor degree in the field of computer science, computer engineering, or other relevant areas.
• Proven working knowledge of HPC system and software.
• Experience with HPC development toolchain and scientific application software stack (GCC, oneAPI, AOCC, AOCL, MPI, CUDA, HDF5, NetCDF, MKL, and FFTW) for building HPC software is essential, knowledge in using Spack or EasyBuild is a plus.
• Strong programming skills in C, C++, and Python, familiar with Fortran programming is a plus.
• Good knowledge and experience in HPC performance optimization and troubleshooting.
• Familiar with HPC job schedulers (PBS or SLURM), OpenMP & MPI, and container technologies (Docker or Singularity).
• Familiar with scripting languages, Linux and HPC profiler & debugger tools e.g. AWK, Bash, Perl, Conda, GDB, Git and IPM.
• Familiar with HPC storage e.g. GPFS and Lustre.
• Demonstrated good team play spirit and high-level problem solving skills.
• Demonstrated effective communication skill including the ability to articulate technical concepts to a diverse range of clients.
• Demonstrated ability & willingness to contribute novel ideas and approaches in support of research community.
• To be considered for a senior position, the candidate should have at least 3 years of relevant experience in a similar position and environment.
• Familiar with AI software stack (PyTorch and Tensorflow) and programming is a plus.
• Familiar with database technology (MySQL, Cassandra, etcd, MongoDB and Redis) and programming is a plus.
• Good knowledge and experience in HPC analysis and data analytics is a plus.

Scientist for Advanced Photonics (Photonic Computing and Quantum Computing)

As part of IME’s Photonics & Sensors Department, the candidate will paticipate in various projects for the development of photonic computing, quantum photonics, or other photonic applications. This will include photonic circuit design, characterization, electro-optic integration, and verification of system functionalities. You will work closely with an excellent multidisciplinary team working on photonics, electronics, semiconductor process, integration, and fab operation.

Responsibilities:

• Design of photonic integrated circuits for advanced photonic applications, including but not limited to photonic computing, quantum photonics, etc.
• Development of optical testing platform for advanced photonic applications. This emphasizes on the application-specific testing with multi-channel in, multi-channel out.
• Development of electro-optic testing platform for advanced photonic applications. This focuses on the electro-optic integration and relevant high-speed control interface.
• Verification of electro-optic system functionalities. This emphasizes on the realization of targeted algorithm implemented on photonic integrated circuits, as well as data analysis, trouble-shooting and optimization.
• Preparation of technical presentations and papers for internal meetings, as well as conferences and journals.
• Collaborate with project team to ensure quality and on-time delivery for various projects. You will get a chance to expose to both industrial and academic projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Microelectronics, Opto-electronics, Physics or equivalent.
• Experience in one or more topics listed below is strongly preferred: Photonic computing, quantum computing, LiDar, optical switch array, compute-in-memory.
• Hands-on experience in photonic simulation using various electrical / photonics design software.
• Hands-on experience in photonics and microelectronic testing at circuit level or above.
• Strong communication, industry awareness, and problem-solving skills.
• Strong self-motivation and interest in the next-generation photonics technology development.

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 Microelectromultiphysical system (MEMS) team at Institute of Microelectronics (IME), Singapore is looking for a reconfigurable metasurface research scientist. The scientist will work with a multidisciplinary team and contribute to the development of metasurface-based technologies for terahertz wireless communication devices.

The job responsibilities will include:

• Designing terahertz metasurface for dynamic beam control for application in reconfigurable intelligent metasurfaces (6G RIS)
• Developing comprehensive electromagnetic simulation models of metasurface
• Developing analytical and equivalent circuit models of terahertz metasurfaces
• Developing the process flow for fabrication of terahertz metasurface by working with process integration team to ensure successful fabrication of devices.
• Specifying integrated circuit and packaging requirements for metasurface devices and communicating the requirements to the respective teams
• Building terahertz test setups and PCB circuits for characterizing reconfigurable metasurface devices

Job Requirements:

• Ph.D. in Electrical Engineering / Mechanical Engineering / Applied Physics or equivalent
• Minimum 3 years of experience in metasurface design (PhD work can be counted)
• Good intuition and a deep understanding of fundamental electromagnetic principles of metasurface.
• Experience in terahertz domain and/or beam steering design is preferred.
• Knowledge of typical terahertz metasurface fabrication processes, with some experience in microfabrication.
• Experience with electromagnetic simulation software such as CST, COMSOL, Lumerical, or HFSS
• Hands on experience in terahertz characterization is a plus
• Experience in reconfigurable metasurface is a plus
• Experience in microelectromechanical systems as active element for metasurface reconfiguration is a plus.
• Experience with layout drawing software, such as Cadence, L-edit is a plus.
• Python programming skills for data analysis is a plus.
• Good communication and presentation skills
• Ability to work independently, as well as being an excellent team player.

The Institute of Microelectronics (IME) is a research institute of the Agency for Science, Technology and Research (A*STAR). Positioned to bridge the R&D between academia and industry, IME"s mission is to create innovative microelectronics technologies. We want to add value to Singapore"s semiconductor industry by enabling enterprises to be technologically competitive through R&D. We are looking for you to help us grow our partnerships with the industry. If you are excited about microelectronics and believe you can make a difference, we want you!

Job Responsibilities:

- Candidate will be required to develop, secure and manage industry partnerships.

- Candidate will also be responsible for developing and executing marketing strategies to promote IME’s research capabilities to interested parties.

- Candidate will be required to work alongside the ‘Technology Development’ teams to develop their strong value propositions and assist with market intelligence to shape the Technology Development teams’ R&D strategies.

- Candidate will be required to carry out account management to strengthen customer relationships.

- Candidate will be required to coordinate and engage with internal stakeholders such as A*STAR’s Industry and Enterprise Group or various other public sector agencies.

Job Requirements:

- Degree in Science or Engineering.

- At least 8 years of relevant work experience.

- Able to structure and negotiate collaboration agreements.

- Strong communication (written and verbal), marketing and interpersonal skills.

- Strong analytical skills.

- Results oriented, pro-active, and a team player.

- Adaptable and comfortable working in a fast-paced and fast-changing environment.

- Passion to develop Singapore’s semiconductor industry.

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) Yong Loo Lin School of Medicine is recruiting talented scholars at multiple levels: Post-doctoral Fellows, Senior Research Fellows and Research Scientists to work in the Global Centre of Asian Women’s Health (www.glownus.org) and the NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (www.acrle.com). Our interdisciplinary program is designed to provide experiences that foster scholars’ professional development by working closely with national and international experts, and equip them with independent research skills in multi-disciplinary areas, such as nutrition, reproductive health, maternal and child health, endocrinology, behaviour intervention, biostatistics and epidemiology.

Successful candidates are expected to 1) conduct original research for publications based on data from several large cohort studies in the United States and in Singapore, such as the U.S. National Institute of Child and Human Development (NICHD) Fetal Growth Studies, Diabetes & Women’s Health Study (www.dwhstudy.org), Growing Up in Singapore Towards healthy Outcomes (GUSTO), and the Singapore Preconception Study of Long-Term Maternal and Child Outcomes (S_PRESTO); 2) present at scientific conferences; 3) contribute to competitive grant applications; and 4) mentor junior researchers within a multi-disciplinary research team. Successful candidates will also have the opportunity to develop their independent research initiatives using the wealth of data from the school and collaborative national and international institutes.

Qualifications

Candidates with a doctoral degree in epidemiology, nutrition, or a closely related field, or those with a medical degree with some experience or advanced graduate training in epidemiology, population health, or biostatistics are invited to apply. Preference will be given to candidates with strong research experience in any of, but not limited to, the following areas.

• Diabetes, obesity, and cardiometabolic health
• Nutrition, lifestyle and mental wellness
• Omics research, especially on metabolomics and microbiome
• Behavior intervention
• Reproductive health, maternal and child health
• Aging and neuro-cognitive function
• Women’s health
• Developmental origins of disease
• Epidemiological methods

Skills

Preference will also be given to candidates with

• Strong analytical or quantitative skills
• Good track record of publications in peer-reviewed journals
• Excellent communication skills in English
• Experience in statistical software (e.g., STATA, SAS, R)
• Experience in grant/proposal writing

The position provides health insurance. The salary is commensurate with training and relevant research experience. Multiple positions are available and will remain open until qualified applicants are found.

Application

Applicants should email: 1) a curriculum vitae; 2) a statement of research interests; 3) three letters of reference; and 4) transcripts for undergraduate and graduate degrees to the contact listed below. Note: Official transcripts may be requested if selected for an interview. Applicants need not have completed their doctoral training prior to applying, although training must be completed prior to the start of the position.