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 the position of Research Assistant in the Department of Computer Science, 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 Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow in Carbon-Negative Synthetic Biology and Engineering of Cyanobacterial Cell Factories

We are seeking one or more highly motivated and creative postdoctoral researchers to join our dynamic team at the Synthetic Biology for Clinical and Technological Innovation (SynCTI), Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and the National Centre for Engineering Biology (NCEB).

The selected candidate(s) will be part of an interdisciplinary collaboration across various research groups. Appointments will be initially made on a 1-year contract, with the possibility of extension. We welcome applications from PhD holders, including those without prior experience.

Ideal candidates will possess expertise in cyanobacteria engineering and the development of cell factories for bioproduction. We particularly encourage applicants with a background in carbon-negative synthetic biology and biochemical production from CO2. The successful candidate(s) will closely collaborate with Prof. Jee Loon Foo, Prof. Julius Fredens, and our research team to advance the frontier of synthetic biology in addressing real-world challenges.

Join us in shaping the future of innovative biotechnology and making significant progress towards sustainability and technological advancement!

Main Duties and Responsibilities

The Research Fellow is expected to:

1. Manage and drive one or more research projects, design and execute experiments, assimilate and interpret results;
2. Solve scientific problems, think independently, and suggest creative solutions;
3. Write papers together with the PI for publication in high-impact journals;
4. Mentor graduate and undergraduate students.

Qualifications

The applicant should:

• Hold a PhD degree in molecular biology, bioengineering, or a related field;
• Have experience conducting research with cyanobacteria and extensive knowledge and hands-on experience with general molecular biology. Experience with genome engineering, general microbiology, and metabolite analysis is favourable;
• Have a strong record of publications in international journals;
• Be able to work independently and in a team, have an investigative nature, and be attentive to details;
• Be passionate about science, self-motivated, naturally take ownership of assignments, and proactively propose solutions to arising obstacles.

Application

Formal application: Please submit your application of (1) letter of motivation describing the applicant's research interests and relevant experience; and (2) full CV (up to two pages) including personal particulars, academic and employment history, complete list of publications, and contact of 2 referees by 30 May 2024.

Application

Remuneration will be commensurate with the candidate's qualifications and experience. Appointments will be on a 1-year contract in the first instance, with the possibility of extension. Those with no experience are encouraged to apply.

Informal enquiries are welcome and should be made to Asst. Prof. Julius Fredens ([email protected]). Website: https://syncti.org/

Job Description

Chronic unresolved inflammation is a key pathogenic feature of prevalent inflammatory disorders and related syndromes that together are predicted to affect close to 60 million people with an annual cost of $90B. As such, the global anti-inflammatory therapeutic market is in urgent need for new targets for therapeutic intervention.

The Ho lab at Duke-NUS is building a platform to mine the human genome for novel determinants of the inflammatory response. We are seeking an experienced researcher who will participate and drive the execution of this platform in collaboration with other senior members of the team. The selected candidate will be expected to work at the bench as well as manage some aspects of the project such as administration of documentation required for smooth operations. Successful completion of the project will lead to opportunities for transition to industry roles. Candidates with strong technical ability and expertise in inflammation biology, and who are interested in taking discoveries from the lab through to commercialization are strongly encouraged to apply.

• Perform tasks and support all aspects of the research project.
• Cell culture and basic molecular biology (western blotting, PCR).
• Preparation of samples for NGS and proteomics analyses.
• Liaise with stakeholders including investors and grantors through regular meetings.
• Responsible for procurement related to the project such as vendor management, purchasing of laboratory supplies.
• Regulatory paperwork pertaining to the project (IRBs).
• Perform other related duties incidental to the work described therein.

Job Requirements

• Master’s Degree in Biology or related discipline. Candidates with PhD will be considered for Research Fellow appointment.
• At least 5 years of work experience in lab-based research.
• Track record of scientific output in inflammation biology (research publications).
• Demonstrated experience in molecular biology and cell culture.
• Experienced in project management and stakeholder management, and able to undertake independent research progressively.

We regret that only shortlisted candidates will be notified.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’ s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements:

• Bachelor’s or Master’s Degree in Public Health or other related fields.
• Minimum 1 year of working experience in Singapore’s healthcare setting
• Have experience with Singapore’s IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

Job Description

The Duke-NUS Laboratory for Translational and Molecular Imaging (LTMI), Duke-NUS Medical School, is recruiting a Research Fellow/Senior Research Fellow specialising in Nuclear Imaging within the Immuno-Oncology domain.

The successful candidate will lead pre-clinical imaging efforts to validate novel imaging probes that target immune cell biomarkers. He/She will be responsible for the strategic planning, execution and communication of research. Candidates with strong records of scientific accomplishment in radiopharmaceutical sciences, immunology or related disciplines are encouraged to apply.

• Lead development of nude, syngeneic, and humanised mouse tumour models, with characterisation of immunophenotype with treatment response
• Collaborate on in vivo imaging strategies for pre-clinical characterisation of targeting probe specificity and sensitivity with PET/CT, SPECT/CT and/or optical imaging
• Monitor immune response to immunotherapies with longitudinal imaging assessments, supported with IHC, FACS
• Ensure regulatory compliance of research, including legal and ethical requirements
• Ensure timely reporting and presentation of study results to the team, and making appropriate decisions on data obtained from imaging studies
• Write and review research papers, and present at local and international conferences
• Provide guidance and mentorship to junior researchers, graduate and/or undergraduate students
• Demonstrate effective organisation/project management abilities to efficiently manage time and work activities

Job Requirements

• PhD in Immunology/Radiopharmaceutical Sciences or related disciplines
• Experience in multimodality imaging and image analysis (including PET, SPECT, CT and fluorescence) within the immuno-oncology domain is preferred
• Background in molecular biology, cell biology and oncology
• Experience in mouse studies (injection, anatomy, necropsy, pathology) is an advantage
• Proven track record of academic publications, including writing/drafting first author papers
• Self-motivated individual, enthusiastic to take initiatives, as well as able to work independently and collaboratively in a team
• Demonstrate excellent communication, technical independence, analytical and problem solving skills
• Enjoy team-work and collaboration

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 Institute of Operations Research and Analytics (IORA) is seeking a dedicated and skilled Research Engineer to support our research projects focused on the implementation and analysis of machine learning (ML) algorithms. The successful candidate will be instrumental in providing coding expertise, data management, and analytical support to a range of projects in operations research and analytics.

This is an excellent opportunity for recent graduates passionate about applying their technical skills to real-world problems, particularly in the field of machine learning and data analytics.

Key Responsibilities

• Coding and Implementation: Develop and implement machine learning algorithms and models to support IORA’s ongoing and new research projects.
• Data Analysis: Conduct data processing, exploration, and visualization, delivering insights that guide research conclusions.
• Model Evaluation: Collaborate with researchers to evaluate model performance, optimizing algorithms for robustness and efficiency.
• Documentation: Ensure thorough documentation of code, data pipelines, and research findings to facilitate reproducibility and project continuity.
• Collaboration: Work closely with research teams to understand project objectives, gather requirements, and provide technical support in the form of coding and data analysis.
• Maintenance and Troubleshooting: Manage and troubleshoot issues in codebases and data pipelines as they arise, ensuring smooth and efficient project progress.

Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or related field.
• Programming Skills: Proficiency in Python (preferred) or R, with experience in relevant libraries for ML and data processing (e.g., Scikit-Learn, Pandas, TensorFlow, PyTorch).
• Data Management: Familiarity with data extraction, cleaning, and preprocessing methods; experience with SQL or other database management tools is a plus.
• Machine Learning Knowledge: Understanding of machine learning fundamentals, including supervised and unsupervised learning, model selection, and evaluation techniques.
• Analytical Mindset: Strong analytical and problem-solving skills with attention to detail in data analysis and algorithm implementation.
• Team Collaboration: Ability to work collaboratively within a research environment, with effective communication skills to convey technical information clearly.

Preferred Experience

• Experience with version control systems, such as Git.
• Prior research experience or involvement in machine learning or data science projects is advantageous.
• Exposure to cloud computing platforms like AWS or GCP for ML model deployment (optional but a plus).

How to Apply

Interested applicants should submit their resume, a cover letter detailing their interest in the role, and any relevant project portfolios or coding samples that demonstrate their experience with ML and data analysis.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Prof Quek Su Ying on excitonic properties of layered materials under a project on Materials for Room Temperature Exciton Condensates: From Database to Laboratories.

The main responsibilities of the position include:

Using an electrostatic model combined with first principles calculations to compute the excitonic properties of selected layered materials with thicker layers.

Qualifications

• Qualifications / Discipline: Physics (PhD)
• Skills: First principles calculations, modelling
• Experience: Experience with first principles calculations in layered materials

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

• Support full spectrum finance duties, including but not limited to procurement, payments, accounts receivables in line with hosting institutions and grantor guidelines
• Provide grant management administration, such as grant claims, progress report’s financial reporting and other grant variation request.
• Provide administrative support, such as assets management, filing, phone enquiries, mails collections, stationery orders, etc
• Provide finance and administrative support for Annual Scientific Meeting and assist in pre and post event activities
• Assist in other finance or administrative functions as and when required by team

Qualifications

Degree in Administration, Accounting or Finance, and minimum 2 years of work experiences

• Positive working attitude, proactive and willing to learn
• Good organization and communication skills
• Experience in SAP HANA, Ariba
• Good knowledge of Microsoft Office application like Excel, Word, Teams, DocuSign and online communication application is an added advantage

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.

When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.

Explore the link provided to learn additional details about the available job opportunity:

https://career44.sapsf.com/sfcareer/jobreqcareerpvt?jobId=27031&company=nationalunP2&st=0E3BD74E502FD1E8A81F87F57FBB93C9D8BC3B07

We are looking for a full-time pre-doctoral student to work as a Research Associate on INSEAD’s Singapore campus. This position is ideal for recent Master’s graduates looking to develop their research skills, with a view of applying to a PhD program. We are looking for someone who is good at managing data and in particular using software packages such as Stata, Python, and R. Ideally, they would also have experience working on a research project in the social sciences. The Research Associate core mission is to assist the school’s Strategy faculty in conducting research.

The Strategy Area at INSEAD is a global thought leader in studying the drivers of superior long-term organizational performance. Our research covers key topics such as artificial intelligence, digital transformation, sustainability, corporate social responsibility, innovation, corporate culture, collaboration, and strategic leadership. We investigate how firms tackle challenges like growth constraints, post-merger integration, and shifting business models, and evaluate the effectiveness of their strategies. Our work employs a range of methodologies, including large-scale empirical analyses, field experiments, and qualitative or ethnographic approaches. While diverse in focus, our research shares a common goal: to generate insights that are both academically rigorous and practically relevant, influencing scholarly discourse and guiding real-world strategies to help businesses and leaders succeed in a dynamic global environment.

The position is for one year, with the possibility of renewal at the end of the first year upon evaluation. It is a full-time position.

TASKS:

• Assist with quantitative research projects in the areas of strategy and management.
• Extract data from conventional databases (e.g., CRSP, Compustat, etc.) or hand-collect and clean data from company documents for analysis.
• Manage and clean data using software packages such as Stata, Python, and R. Proficiency in Stata is strongly preferred.
• Conduct statistical data analysis and assist with the interpretation, write-up, and dissemination of findings.
• Help with reviews of prior literature.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in Economics, Econometrics, Statistics, Finance, or closely related fields, with extensive prior training in econometrics.
• Excellent programming skills that can be applied in software packages such as Stata, Python, or R. Proficiency in Stata is strongly preferred.
• Fluency in written and oral English.
• Excellent academic record and work ethic
• Strong interest in conducting empirical research in management and economics and ambition to pursue a PhD in the future.
• Previous research experience is a strong plus.

APPLICATION:

To be considered for the position, please submit

1. Curriculum vitae

2. Cover letter describing your research experience, motivation and competencies

3. Writing sample (empirical research paper preferred)

4. Academic Grade Transcript

5. Up to two names and contact details of potential references

Applications and letters of recommendation may be submitted by email to [email protected]. Please mention job reference (STRSGP). The review will begin immediately. Applications will be considered until the position is filled.

INSEAD is committed to fostering a diverse and inclusive academic community. We consider applicants for employment without regard to factors such as gender, race, sexual orientation, disability or nationality.

2nd OFFICER

Job responsibilities

* In charge of navigation, navigational equipment and navigational publications

* Unkeep of all bridge equipment, GMDSS operator

* Maintain a watch in port including the operations of cargo as required

* Passage plan making

Requirement

* COC Class III

* At least 1 year experience on tanker

Assists Club Manager to ensure smooth daily operations of the Jackpot Branch while maintaining a high standard of customer service. Have good knowledge of different jackpot machines/games and the ability to troubleshoot simple machine faults.

Roles and Responsibilities

Operations

• To enforce entry/exit check in compliance with regulations
• To ensure accuracy when recording forced handpay, big win, jackpot and taking down player’s particulars in the handpay form
• To attend to players’ needs, enquiry and provide excellent customer service
• To alert the duty Jackpot Executive or Branch OIC immediately of failures, impending failure to all hardware and software pertinent to the smooth operations of the Branch
• To ensure that all machine keys and safe keys are in safe custody
• To attend to machines faults and perform simple repairs
• To educate players on slot machine functions and explain game features
• To handle any unclaimed bills found on the gaming floor or inside the machine
• To witness ram clear, machine configuration, testing, seal and break seal of slot machine after technician has repaired in accordance to SOPs, and filling up the necessary forms for submission to finance
• To oversee collection weekly
• To maintain cleanliness of jackpot floor area and perform regular sanitization
• To assist problem gamblers and provide assistance e.g. self-exclusion form as requested by members before implementing the ban
• Record for any job done in the machine status log book when opening of machine door is required

Cashiering Duties

• Opening and closing of shift
• Ticket redemption and payment
• To monitor and be responsible for cash float

Management Duties

• To help gather and provide ground feedback to Manager
• To guide and impart necessary skills and knowledge to new colleagues.
• To provide useful feedback for the improvement of Branch operations.
• To perform all tasks as assigned by the Manager

Requirements

• Minimum secondary education
• Minimum 2 years of experience in a supervisory position
• Good communication and interpersonal skills
• Good customer service skill
• Computer literature
• Able to perform shifts work including weekends & public holidays

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 Brandon I Morinaka on production and biological evaluation of peptide natural products under a project on Bioactive cyclic peptides.

The objective of the project is to create new peptide modalities that can be used for infectious disease and cancer.

The main responsibilities of the position include:

• Carry out research for new peptide natural products discovery and development including recombinant protein expression, and production and extraction of natural products.
• Train undergraduate and graduate students.
• Oversee and maintenance of analytical equipment.

Qualifications

Qualifications / Discipline:

• PhD in Pharmaceutical Science, Chemistry, Biochemistry, or related discipline.

Skills:

• Biochemical techniques: protein expression and purification, SDS-PAGE, size exclusion and affinity chromatography.
• Molecular biology: heterologous expression in E. coli and other bacterial hosts.
• Analytical chemistry: characterization of natural products and peptides. Well-versed in the use of HPLC, MS, and NMR for structural characterization.
• Good written and oral communication skills.
• Able to work effectively in a team.

Experience:

• Previous research experience in natural products chemistry, biosynthesis, antimicrobial peptides, protein-protein interactions, or related research area.

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

This position is for a full-time Research Assistant with a strong background in Microbiology/Immunology to work in a dynamic research team focused on bat biology. The candidate is expected to play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment by performing a variety of research under the supervision of the Principal Investigator or his/her designate. The main duties and responsibilities will include but not limited to the following: -

• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Provide support experience for MRNA vaccine studies.
• Assist in the maintaining of cell cultures
• Assist with general upkeep of laboratory needs, maintain safety protocols and laboratory housekeeping.
• Provide guidance and training to students.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD Degree in Life Sciences with Microbiology/Immunology background.
• Demonstrated basic knowledge, skills and technical expertise in supporting various biological research activities.
• Equipped with basic routine laboratory skills, including biological safety.
• Possess interpersonal communications skills with excellent written, oral communication and computer skills.
• A strong team player who is open-minded, independent, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Health Intervention and Policy Evaluation Research Centre (HIPER) (https://hiper.nus.edu.sg/) at the SSHSPH, NUS, is seeking to hire a highly organized and detail-oriented research assistant to support both administrative and financial functions within our research program.

This hybrid role will assist with a variety of administrative tasks, including scheduling, documentation, and communication, while also providing financial support in areas such as budget tracking, expense processing, and financial reporting.

The successful candidate will be proactive, capable of managing multiple tasks simultaneously, and eager to contribute to the success of the research program.

Key Responsibilities

Administrative Support:

• General Office Management:Provide administrative support, including scheduling meetings, and preparing meeting agendas.
• Event Coordination: Help coordinate events, workshops, and courses, including managing and tracking applications, tracking payments, booking venues, preparing materials, managing participant lists, and liaising with participants.
• Communication: Serve as a point of contact for internal and external stakeholders by managing the HIPER email account, responding to inquiries and providing timely information related to the HIPER department.
• Travel & Logistics: Assist with the coordination of travel arrangements, accommodations, and reimbursements for staff and guest speakers.

Financial Support:

• Budget Assistance: Support budget monitoring and tracking of expenditures for the research program. Ensure that financial transactions align with the approved budget.
• Invoice & Payment Processing: Process invoices, track payments, and maintain records of financial transactions, ensuring timely and accurate payment for internal transfer, guest speakers, and contractors.
• Expense Reconciliation: Assist with reconciling program-related expenses, credit card statements, and receipts.
• Financial Reporting: Assist to prepare basic financial reports, including monthly expenditure summaries and budget forecasts, to facilitate financial oversight and decision-making.
• Reimbursements: Process reimbursement requests, ensuring proper documentation and adherence to policies.

Cross-functional Support:

• Record-Keeping: Maintain an organized filing system for both administrative and financial documents, ensuring all documents are up-to-date and easily accessible.
• Data Entry and Reporting: Input and update data, maintain spreadsheets, and generate summaries and reports as needed to support activities and program management.
• Ad-Hoc Support: Assist the Center Manager and other staff with ad-hoc administrative and financial tasks as required to support the smooth operation of the program.

Working Conditions:

• Full-time position (42 hours per week).
• Standard office hours with occasional flexibility for program-related events or deadlines.
• On-site work
• The position is for one year but can potentially be extended.

How to Apply:

To apply for position, kindly share your CV and a cover letter that covers the following:

• Why you want this role and how it will further your long-term career aims
• How you meet the requirements of this post
• Your MBTI personality (https://www.16personalities.com/free-personality-test)

Qualifications

Qualifications:

• Education: Bachelor’s degree in Administration, Accounting, Finance, Business, or related field preferred.
• Experience: Previous experience in administrative or finance roles is desirable but not required. Those with no experience are welcomed to apply, especially those with a background in business administration or finance.
• Skills:

1. Strong organizational and time-management skills
2. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)
3. Basic understanding of financial processes and budgeting
4. Excellent written and verbal communication skills
5. Familiarity with accounting software (e.g., QuickBooks, Excel, SAP) is a plus
6. Strong attention to detail and ability to maintain accurate records
7. Ability to multitask and prioritize effectively in a fast-paced environment

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 the position of Research Fellow in the Department of Computer Science, 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 Fellow should possess relevant experience and will be conducting research on Data Security for LLM systems and work on Formal Methods Agents based on LLM.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:

• Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
• Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
• Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
• Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
• Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

• Master’s degree in Materials Science, Chemistry, Physics, or a related field.
• Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
• Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
• Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

JOB DESCRIPTION

• Responsibilities: mouse colony management, genotyping, mouse surgery, immunostaining, tissue sectioning and staining, and other technical support requested by lab members
• Provide technical support for research

JOB REQUIREMENT

• Bachelor in Biological Science and Life Science disciplines or equivalent
• Experience with animal work will be valued
• Excellent organizational and interpersonal skills
• Highly motivated, passion for science, committed to laboratory work and able to work flexible hours
• Ability to multitask, work independently and also as part of a team
  Excellent communication (verbal and written) and presentation skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

(JR:18151)
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

Qualifications

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

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

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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 the position of Research Fellow in the Department of Computer Science, 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 Fellow will work at the Yang Zhang Lab. He/she should possess experience or interest in the following research areas:

• Artificial Intelligence (AI) and Deep Machine Learning
• Protein Folding and Structure Prediction
• Protein and Peptide Design and Engineering
• Protein-ligand Docking and Drug Screening

We are particularly interested in the development of new AI-based approaches to cancer therapeutics. Skills in computational coding and creativity in scientific method design, together with high interest in computational cancer medicine, are critical.

Only shortlisted candidates will be notified.

Job Requirements

PhD in computer science or computational biology, with skills and research experience in AI and deep learning.