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.

Manage Customer Onboarding/Offboarding:

• Process the end-to-end customer onboarding process, ensuring smooth facilitation.
• Verify customer documentation and ensure compliance with company policies.
• Collaborate with SP Services & MSSL Team to ensure contractual obligations are accurately reflected in downstream systems.
• Process the customer offboarding efficiently.

Customer Interactions Handling:

• Act as the primary point of contact for customers across various communication channels including email, calls, messaging, and social media.
• Collaborate with internal Service Partners such as Sales, Finance, and Credit Control to address customer queries and concerns promptly.
• Effectively route and resolve inquiries and issues to ensure timely resolution.

Sales and Product Inquiry Handling:

• Provide comprehensive information about the organization's products and services to potential customers.
• Convert leads into sales by showcasing the value proposition effectively.

Administrative Task:

• Process forms (eg. GIRO).
• General administrative tasks (eg. Verification and submission of team invoices).

Requirements

• Diploma and/or previous experiences in related field preferred
• Excellent communication and documentation skills
• Ability to multitask and prioritize tasks effectively.
• Attention to detail and accuracy in documentation.
• Proficiency in MS Office Suite.
• Work collaboratively in a team.

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

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.

About Us

Green Link Digital Bank is Singapore's inaugural wholesale digital bank focusing on supply chain finance, mainly serving MSMEs, and aiming to help MSMEs grow and improve digitization.

We are looking for a Credit Admin to grow our business.

Responsibilities

• Ensure seamless processing of credit facility disbursement for loan products, Trade and Supply Chain Financing Products.
• Possess good drafting skills and be able to draft and/or vet letters of offers, ensuring that all approved terms and conditions for the banking facilities and the Bank’s standard requirements are accurately incorporated and adhered to.
• Verify that all loans are approved in accordance with the Bank’s Lending Authority Limits.
• Work with RMs and appointed solicitors to ensure that loan documentation complies with approved T&Cs and is properly executed.
• Ensure that all conditions precedents are properly met before facilities are implemented or availed, otherwise ensure proper approval obtained for all exceptions in accordance with preset guidelines.
• Provide support to business teams in credit transaction management such as setup credit facility into core banking system, monitor outstanding documentation, safe keeping of security and facility documentations.
• Perform limit monitoring to ensure approval is duly obtained for credit facility limit excess and overdue loans (if any) in accordance with the Bank’s policies and guidelines.
• Perform verification of covenants for compliance in accordance with the offer letter/facility agreement
• Assist to perform 1st level AML check for transactions, SWIFTs name screening.
• Provide cross functional support within the Operation Centre Department when required.
• Identify opportunities and initiate suggestions for improvement.
• Provide support for ad-hoc projects on behalf of the department and to participate in UAT testing.

Requirements

• Degree or Diploma Holder with 5-6 years of corporate banking working experience.
• Prior working experience in loan documentation unit is preferred.
• Meticulous and ability to work independently.
• Good interpersonal and communication skills with ability to multi-task while staying oriented.
• Technological orientation with proficiency in Microsoft Office (Word, Excel, PowerPoint) and MS Outlook.

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 Purpose

The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum.

Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry.

In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT.

Key Responsibilities

• Design and teach labs & practice modules.
• Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP).
• Manage labs and equipment to support academic programmes and applied research.
• Ensure safety in labs.
• Participate and manage the industry project with Principal Investigator (PI), Co-PI and team members to ensure all project deliverables are met.
• An innovative mindset in exploration, valuation, and application of new technologies in food product/ process/ packaging research and development.
• Involve in customer engagements, includes gathering of systems requirements and formulate scope.
• Involve in the full development life cycle, i.e., design, development, and testing.
• Generate technical proposals, design documents, test documents.

Job Requirements

• A good degree in Food Science and Technology, or a related field. Masters and PhD would be advantageous.
• At least 10 or more years of working experience and proven track record of technical expertise with minimum 7 years of R&D experience in food industry.
• Excellent knowledge and experience in food ingredients/ packaging/ processing, and their applications in food products.
• Excellent understanding in food chemistry / microbiology / texture / sensory evaluation, with discerned laboratory skills for food analysis would be advantageous.
• Hands-on experience in quality control and food safety management would be an added advantage.
• An innovative mindset in exploration, valuation, and application of new technologies in food product/ process/ packaging research and development.
• Experience in writing project grants will be an added advantage.
• Extensive experience and knowledge of industry practices to bring industry perspective to SIT.
• Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems.
• Strong supervisory skills and enjoy working closely with students in an educational environment.
• Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage.

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 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.

Meranti Power Pte. Ltd., a fully owned subsidiary of Energy Market Authority, is establishing a maintenance team to maintain two open cycle gas turbines of our power generation station.

We are inviting applicants for the positions of Technical Officer (Electrical) who shall report to the Senior Engineer/ Engineer/ (Electrical Maintenance) and be responsible for supporting him in the maintenance of Electrical systems of the power station/plants. The Technical Officer shall support Electrical team in the following:

Responsibilities:

• Responsible for proper maintenance of gas turbine, generator and auxiliary systems as assigned by Head or Engineers in-charge
• Perform troubleshooting, predictive, preventive and corrective maintenance to ensure plant equipment and systems run smoothly and efficiently
• Identify, plan and initiate required actions to maintain the power plants for long term reliability and efficient generation output
• Prepare technical specifications for equipment services, contract labour and ad-hoc maintenance services. Supervise and report performance of contractors to ensure good quality and progress of maintenance works, as well as full compliance with contract specifications
• Liaise, supervise, and coordinate with contractors and vendors on projects, maintenance, repair, shut down, and overhaul works
• Support operation and maintenance engineers in investigation, analyse and determine the root cause of plant defects and outages
• Maintain and control all records as required
• Assist in the preparation, certification and review of all management systems, including ISO 9001, ISO 14001, ISO 18001, ISO 50001 annually and provide support to the auditing parties wherever necessary, including internal & external auditors, to rectify non compliances and/or to follow up on improvement items identified during audit
• Support engineers in managing maintenance contracts and inspections, testing and commissioning of new equipment
• Monitor ad-hoc plant projects/tasks to ensure on time delivery
• Perform work orders allocated by Department Heads and/or Engineers

Requirements:

• Education in Electrical Engineering
• Minimum 2 years’ Electrical maintenance experience in a power plant or related industry
• Willing to work overtime
• Self-driven with good working attitude and possess keen learning disposition
• Proven attendance record and works well in a team
• Work location is in Jurong Island (Transport to and from Jurong East MRT are provided)
• Fresh graduates are welcomed to apply.

Interested candidates, please forward your detailed resume, including last drawn salary, expected salary and date of availability to : [email protected]. Only shortlisted candidates will be notified.

By submitting your personal data and/or resume to Meranti Power Pte. Ltd. (“MP”) or to [email protected], you shall be deemed to have given your consent to MP for collecting, using, and disclosing your personal data for the purpose of assessing your job application.

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 Purpose

Candidate will join Executive Education at Lee Kuan Yew School of Public Policy in which the main mission is to empower leaders with the skills to thrive in a complex, fast changing world.

The Lee Kuan Yew School of Public Policy Executive Education consists of a highly trained, fast-moving, and client-oriented team dedicated to marry innovative policy practices with the latest theories and approaches in public policy and administration to deliver top educational experiences to our clients.

Candidate will play a pivotal role in providing support in ensuring smooth delivery of high quality executive education programmes and efficient daily business operations.

The ideal candidate will be proactive, dependable, with a passion for process improvement and capable of multitasking in a fast-paced environment.

Responsibilities

Finance

• Processing payments to vendors/suppliers/Faculty/Speakers
• Submitting request to create vendors/suppliers/Faculty/Speakers accounts in NUS system
• Generating billing document to customers/clients
• Preparing internal journal documents
• Preparing documents for filing of tax in the various regions of clients
• Submitting staff claims/ travel requests in NUS system

Procurement

• Submitting purchase request in NUS system
• Performing Goods Receipt in NUS system

Programme Logistics

• Preparing engagement letters and contracts to Faculty/Speakers
• Preparing programme evaluation report
• Upkeeping data entry to facilitate data analysis across all programmes
• Ensuring data integrity for the department

• Keeping records of payments made, completed requests, etc
• Supporting Programme Manager in programme preparation and delivery when required
• Performing stock take of programme supplies, office supplies, IT supplies, etc
• Supporting onboarding administration for new staff

Any other duties assigned.

Qualifications

- Minimum ‘O’ levels
- Basic knowledge in MS Word and Excel
- Has a good command of spoken and written English
- Detail oriented and a team player

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.