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

• Conduct research in the area of robust optimization.
• Assist in supervising research students.
• Assist in teaching related modules.

Qualifications

• A PhD degree in Optimization, Operations research, Management Science or any other strongly related field.
• Familiarity with optimization under uncertainty paradigms, especially robust optimization.
• Willingness to work both individually and with a team.
• Ability to write mathematical proofs, to design experiments, and to code.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Industrial Systems Engineering and Management

Employee Referral Eligible: No

Job requisition ID : 21667

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 Visiting Research Fellow position in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. Appointment will be made on a 2 years contract basis.

The Department of Diagnostic Imaging (DDI) is the clinical service department in the National University Hospital (NUH). With the formation of the National University Health System (NUHS), both clinical and academic departments come under a common governing structure. NUHS was incorporated on 23 January 2008 to integrate education, research and clinical care.

Purpose of the post

The PI lab aims to develop in vitro diagnostics, in vivo imaging and nanobiotechnology with emphasis on molecular imaging tools and drug and gene delivery techniques. The Visiting Fellows will be responsible to, and work closely with, the Principal Investigator and the team members to undertake independent and/or collaborative research and to lead on aspects of research strategy within the lab.

Main duties and responsibilities

The Visiting Fellow will be able to:

1. Independently undertake advanced research in the relevant discipline area using, or developing, the appropriate methods and/or techniques;
2. Lead and promote activities designed to develop collaborative research with research colleagues and support staff internally and to actively develop appropriate external contacts and networks relevant future collaboration and funding opportunities; Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
3. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

Applicants should possess a Ph.D. (preferably in biochemistry, pharmaceutical sciences, life sciences, radiology or biomedical engineering), with previous experience in designing research projects. A detailed knowledge of molecular imaging probes and/or nanomedicine is mandatory. Ability to design and perform scientific work independently and collaboratively is a must, as is the ability to thrive in a fast-paced environment. Experience with chemistry and radiochemistry, cell culture, animal handling, small animal imaging, and translational research is highly preferred but not required. Motivation and drive to work hard and learn new skills are most important.

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

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Diagnostic Radiology

Employee Referral Eligible: No

Job requisition ID : 22953

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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The Technology Pillar of AI Singapore is looking to hire a Research Fellow specialising in Artificial Intelligence to conduct constant high-quality research in target domains with significant outputs. The researcher will undertake in-depth research to design and develop grant challenges that can be implemented to help solve impactful societal problems.

The Research Fellow will work closely with Principal Investigators, Software Engineers and Project Managers to deliver high-impact publications of top-tier international conferences and journals.

Duties & Responsibilities
● Conduct feasibility study on various AI research topics
● Survey the state-of-the-art algorithms and applications for target topics
● Develop problem statement and evaluation metrics for target topics
● Investigate dataset availability and lead dataset generation
● Perform quality benchmarking on datasets
● Publish high-quality research papers on the survey and benchmarking in top-tier international conferences and journals
● Contribute to knowledge exchange and technology transfer activities with partners from both public and private sectors

Qualifications

● A PhD in Computer Science or equivalent, with specialization related to data science and artificial intelligence;
● Computational thinking with proven ability to conduct independent research with a strong and relevant publication record;
● Experienced in working with a diverse range of data types;
● Experienced in using the latest AI, and big data platforms;
● Experienced in working in a team, with people of diverse skillsets; and
● Excellent interpersonal communication and presentation skills in English

More Information

Location: Kent Ridge Campus

Organization: Office of the Deputy President(Res&Tech)

Department : AI Singapore

Employee Referral Eligible: No

Job requisition ID : 15523

The role of the Senior Assistant Director, Resource Personnel (RP) is to support the Research Entity (RE)/ Principal Investigators (PIs) in managing the processes related to the management of core and non-core funding including budgeting, proper cost allocation and charging, making quarterly projections, making grant requisitions, liaising with the auditors of the grants, and submitting the requisite reports as required within the terms and conditions of the grants and reporting on the utilisation. In addition, the RP will support general RE administration. The SAD will also supervise 2 staff.

Job description:

• Be a strategic partner and support the key stakeholders on management of budgets and grants to ensure progress and sustainability of the institute
• Manage fund requisitions, audits and reconciliations of expenses
• Provide timely reporting, projections and tracking of budget and expenses
• Conduct statistical analyses of data, trends as well as analyse budget utilization.
• Ensure internal controls and financial procedures are in compliance with A*STAR Financial Policy and Procedures (FPP).
• Prepare annual and ad-hoc budget projections
• Monthly Access Control Review - iGrants.
• Supervise 2 RPs

Job Requirements:

• Educational background in Business Administration/Finance with at least 3 to 5 years of experience in resource or grant management, financial planning and analysis, as well as financial operations and reporting.
• Well versed in SAP GUI, Microsoft Office particularly Microsoft Excel and Powerpoint.
• Able to multi-task and deliver results under tight timelines.
• Strong strategic and analytical thinking skills.
• Resourceful and driven with high energy level.
• Effective communication (written and verbal) and interpersonal skills.
• Able to work independently and in a team to deliver results under tight timelines.
• Willing to take on ad hoc additional duties, if required

Job Summary

Vela Diagnostics is seeking a Full Stack Cloud Developer to develop software development activities for result interpretation and reporting software in accordance with Vela design control and SDLC processes. The individual shall be able to develop existing or future software products offered by Vela Diagnostics.

Duties & Responsibilities

1. Will be responsible for developing and maintaining existing or future software products offered by Vela Diagnostic.

2. Document requirements, design, verification and other key development activities in accordance with Vela quality procedure.

3. Develop high-performing, scaling and innovative end-to-end solutions

4. Collaborate with engineers, bioinformatics and verification engineers to implement solutions that are aligned with and extend shared platforms and solutions

5. Build features such as web services and queries on existing tables

6. Understand performance parameters and assess application performance

7. Work on core data structures and algorithms and implement them using language of choice

8. Support Regulatory Assurance department in product regulatory filing process as needed.

9. Work with regional support teams to attend to and resolve customer issues.

Job Requirements & Attributes

1. Diploma/Bachelor in IT related tertiary qualification and at least 2 years of experience in Industry setting

2. Minimum of 4 years of software development experience in web and cloud application.

3. Extensive programming experience in Python, Django, and C# or NodeJS

4. Proficient in cloud computing, preferably experiences in AWS

5. Solid experience in the Linux full stack development, databases

6. Strong experience with modern web frameworks and/or libraries such as React, Angular, etc.

7. Knowledge of common design patterns in software development (MVC, MVVM, etc.)

8. Proficient understanding of code versioning tools such as Git and BitBucket

9. Understanding of fundamental design principles for building a scalable application

10. Willingness to learn new technologies and implement in short time

11. Comfortable working in a multi-discipline, geographically dispersed team

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 and skilled IFP Fellow in our Antibody Design group at EDDC. This is an eighteen-month on-the-job training programme that involves participation in and supporting inter-disciplinary and collaborative drug discovery projects. The successful candidate will be responsible to help enhance our antibody platform technologies. The position will provide an exciting opportunity to thrive at the intersection of technology and biology.

Responsibilities:

• Independently design and engineer innovative antibodies for therapeutic and technology-development applications
• Perform biochemical, biophysical, and functional characterization of antibodies with different modalities and specificity
• Collaborate with scientists from various therapeutic areas to ensure timely progress in research projects
• Analyze and present data in a clear and concise manner, demonstrating a good understanding of its implications in the context of drug discovery

Requirements:

• Degree or postgraduate degree in biology, biochemistry, chemistry or related disciplines with at least 8 to 10 years of relevant experience
• Hands-on experience in molecular biology including design, expression, purification, biochemical/biophysical characterization of proteins
• Desirable experience in employing in silico approaches for antibody engineering
• Experience in flow cytometry-based and immune cell function assays
• Understanding of protein and/or antibody structure-function relationships
• 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
• Able to work collaboratively in a team environment
• Experience in antibody technology and immunology-related research is a plus

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.

Looking to hire Primary Science Experienced Teacher for Part Time Position available to teach on at least 1 weekend especially Sunday.

Teachers should have at least 1-2years of experience in teaching and is familiar with the MOE syllabus.

Interested applicants to send in CV to [email protected]

JOB DESCRIPTION

We are seeking to recruit a highly motivated Research Officer to support ongoing research into cancer antigen processing and presentation. Project involves supporting the team on biochemistry and immunology experiments, as well as simple bioinformatics.

JOB REQUIREMENT

• Bachelor’s degree or Diploma in biomedical science or immunology.
• Laboratory skills in basic biochemistry and cell biology.
• Curious, keen to learn and not afraid to ask.
• Meticulous and responsible attitude.
• Able to function independently on tasks once trained on the job.
• Aspire to further upgrade.

The above criteria are not exhaustive. A*STAR may include additional criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret 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 and skilled IFP Fellow in our Antibody Design group at EDDC. This is an eighteen-month on-the-job training programme that involves participation in and supporting inter-disciplinary and collaborative drug discovery projects. The successful candidate will be responsible to help enhance our antibody platform technologies. The position will provide an exciting opportunity to thrive at the intersection of technology and biology.

Responsibilities:

• Independently design and engineer innovative antibodies for therapeutic and technology-development applications
• Perform biochemical, biophysical, and functional characterization of antibodies with different modalities and specificity
• Collaborate with scientists from various therapeutic areas to ensure timely progress in research projects
• Analyze and present data in a clear and concise manner, demonstrating a good understanding of its implications in the context of drug discovery

Requirements:

• Degree or postgraduate degree in biology, biochemistry, chemistry or related disciplines with at least 5 years of relevant experience
• Hands-on experience in molecular biology including design, expression, purification, biochemical/biophysical characterization of proteins
• Desirable experience in employing in silico approaches for antibody engineering
• Experience in flow cytometry-based and immune cell function assays
• Understanding of protein and/or antibody structure-function relationships
• 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
• Able to work collaboratively in a team environment
• Experience in antibody technology and immunology-related research is a plus

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.