Computational Systems Biology deals with mathematical formulation adopted on a computational platform to analyse experimental biological datasets. Here, the candidate with work with multidisciplinary team members to develop a computational model of a microbial system under variable experimental conditions.

The highly motivated and experienced candidate will drive a project in optimizing sustainable food production through a microbial chasis. The candidate will have an opportunity to learn and innovate on deep learning -based flux analysis.

Responsibilities:

• Set up computational pipeline, code in python, and conduct relevant bioinformatics analysis
• Communicate progress, research findings, and implications to stakeholders
• Draft documentation, manuscripts, and slides

Requirements:

• Bachelor or Master in Bioinformatics, Computer Biology, Molecular Biology, or related field.
• Experience in preprocessing and analyzing RNASeq and/or meta-transcriptomics data
• Coding or scripting experience in any language
• Be a self-starter, detailed orientated, and with a growth mindset
• Proficient in python programming and the usage of its interactive notebook
• Have experience in applying flux balance analysis
• Have interest in, or a basic understanding of microbial biology
• Have an interest in post-graduate studies

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.

HR Officer - Ship Management Company

We are seeking a skilled and experienced HR Officer to join our dynamic team at our Singapore-based Ship Management Company. The ideal candidate will play a crucial role in managing HR functions for our office staff,

Responsibilities:

Organizational Structure and Job Descriptions

- Review and redesign organizational hierarchy, considering interdepartmental relationships and internal workflows

- Analyze and update job descriptions for office staff to ensure alignment between procedures and actual practices

Policy Development and Implementation

- Propose, develop, and implement comprehensive office policies, including (but not limited to:

- Work from Home Policy

- Loan Policies

- Leave Policies

- Travel Allowance

- Phone Benefits / Usage Policies

Performance Management

- Develop metrics to evaluate staff performance

- Create and implement a performance-to-rewards system to identify and recognize high-performing staff

Employee Relations

- Address employee grievances promptly and professionally

- Facilitate conflict resolution to maintain a harmonious workplace

Training and Development

- Assess training needs across departments

- Coordinate and implement development programs to enhance employee skills and performance

Reporting and Analytics

- Prepare and present reports on HR metrics to senior management, including:

- Turnover rates

- Employee satisfaction levels

- Compliance issues

Requirements:

- Bachelor's degree in Human Resources, Business Administration, or related field

- Minimum 3-5 years of experience in HR, preferably in the maritime or shipping industry

- Strong knowledge of Singapore employment laws and regulations

- Experience in managing remote teams and implementing remote work policies

- Excellent communication and interpersonal skills

- Proficiency in HR software and Microsoft Office (Suite)

- Ability to handle confidential information with discretion

Benefits:

- Competitive salary package

- Opportunities for professional development

- Health insurance coverage (Medical/Dental)

If you are passionate about HR and have the skills to drive our organization forward, we encourage you to apply. Join us in creating a positive and productive work environment for our diverse team of professionals in the ship management industry.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Duties & Responsibilities
1.Recruit, train, assess and supervise personnel performing recruitment and interviewing to ensure quality of the participant data.
2. Manage the recruitment listings and study visit scheduling to ensure response rates and operating capacity are maximised, and project timelines are being met
3. Design, test, implement and review new workflows or surveys
4. Recontact participants to verify and rectify collected information
5. Ensure participant information in the operations database is updated and accurate and the completed consent and data forms are accounted for and securely stored
6. Record and track the submission, rework or rejection of consent forms and questionnaires and generate reports on data quality
7. Investigate participant complaints and incidents and implement appropriate actions for continual improvement of processes and service
8. Supervise and guide callers, interviewers and recruiters on professional conduct and responsiveness to ensure participant satisfaction and willingness to contribute for the long-term
9. Compute monthly payments to the recruiters
10. Manage the cash and vouchers for the reimbursement to participants of various projects

Qualifications

• A degree holder, preferably from a biomedical or life science discipline
• Minimum 3 years of working experience and 1 year of supervisory experience
• Clear and good communication skills
• Careful and meticulous with data management
• Fluent in English and at least 1 other local language (for examples Malay or Chinese) to be able to understand and communicate with research participants who are only able to speak Malay or Chinese
• Proficient in Microsoft applications

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Mandar Chitre on the research on medium access control (MAC) under space-time coupling mesh-connected networks.

The main responsibilities of the position include:

• Conduct in-depth analysis of medium access control (MAC) in mesh-connected underwater acoustic networks (UANs), focusing on space-time coupling characteristics.
• Investigate the impact of space-time coupling on MAC performance, including access capacity and network efficiency, in mesh-connected UANs.
• Design and optimize topology-shaping techniques for mesh-connected UANs to enhance network performance.
• Simulate and test the proposed algorithms and network designs to evaluate their effectiveness in improving access capacity and reducing interference.
• Work collaboratively with interdisciplinary teams to align research findings with practical applications in underwater resource development.

Qualifications

PhD in Electrical Engineering, Computer Science, or a Related Field, with a focus on one or more of the following areas:

• Wireless Communications
• Underwater Acoustic Communications
• Network Protocols and Medium Access Control (MAC)
• Signal Processing

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of VOC speciation via chromatography and/or online real-time detection instrument (e.g., PTR-MS)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies with prior experiences
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of chemical characterization via chromatography (GCMS, LCMS, GCTOFMS, etc.)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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 NUS Centre for International Law (CIL) is accepting applications for Research Associate for its Energy Law and Policy Programme (ELP). The ideal candidate would be interested in working on globally-oriented energy governance issues with a regional focus, particularly topical issues of a cross-cutting nature. CIL encourages its research staff to develop independent and joint research within its areas of focus. Candidates with interdisciplinary research experience/perspectives are encouraged to apply.

In addition to conducting research, the Research Associate (RA) is expected to assist in planning and organising international and regional conferences, workshops and training courses for government officials; and to be involved in drafting background papers and/or reports for such events.

In the case of cross-cutting issues, the RA is expected to collaborate with other research teams within CIL to ensure efficient and effective research outcomes. He/ She is also expected to contribute to the development and maintenance of an internal knowledge base as well as efforts to keep the CIL website and other research-related social media platforms up to date.

The successful candidate can look forward to working at the forefront of governance issues as part of the global energy transition and contributing to shaping the future of energy governance at both the global and regional levels. CIL also provides opportunities for its research staff to attend regional and international conferences, workshops and symposiums. There would also be opportunities to work with leading international and regional experts in this field and gain valuable exposure to a range of energy governance issues and perspectives. The successful candidates can look forward to joining a small collegial team that values team work and excellence.

Qualifications

• A Juris Doctor (JD) or a Master of Laws (LLM) in international law with a demonstrable interest in energy and/or environmental governance issues and strong research, writing and analytical skills.
• Candidates with strong IT skills and experience creating and managing engaging social media content across various platforms will have an added advantage.
• Candidates with a particular interest in Southeast Asia and its regional institutions are strong encouraged to apply.

Application Procedures

Interested applicants are invited to apply online via the NUS Career Portal with the following documents:

• Detailed curriculum vita
• Cover letter that demonstrates why you should be considered for the relevant position
• Two samples of written work
• Names/contact information of two (2) referees

Applications are assessed on a rolling basis and only short-listed candidates will be contacted. For enquiries, please contact Ms Huong Tam at [email protected]

More Information

About Centre for International Law (CIL)

The Centre for International Law (CIL) was established in 2009 as a university‐level research institute at National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law. As a university-level research institute, CIL is expected to engage in multi-disciplinary research as well as legal research. For more information on the Centre including its vision and mission please see www.cil.nus.edu.sg.

Energy Law and Policy Programme

The Energy Law & Policy Programme is a new programme area which CIL is developing, building on its existing Nuclear Law and Policy Programme which now forms part of the new ELP Programme. The Programme is headed by Denise Cheong, who was previously the head of CIL’s Nuclear Law & Policy Programme. For further information on the Energy Law and Policy team and their projects, events and publications, please visit https://cil.nus.edu.sg/

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 job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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

Applications are invited for a Research Associate in the NUS Centre for International Law (CIL). This is a one-year contractual position offered in connection to CIL's expansion of its programme on international economic law and policy. The objective of the position is to develop the research capabilities and knowledge of junior scholars by immersing them in a dynamic and supportive research environment where they can enhance their understanding of different areas of international economic law and policy.

The duties of the incumbent will involve:

• Assisting the Head of the International Economic Law and Policy programme in research in connection with the programme’s ongoing projects in international economic law, including CIL’s position as an official observer in UNCITRAL Working Group III, CIL’s ongoing work on international economic law and climate change, and its work on the evolution of the international architecture for economic regulation.
• Assisting with the development and organization of seminars and workshops organized by CIL, including the Singapore International Arbitration Academy.
• Conducting research and completing at least one publication for possible publication in a recognized journal at the termination of the position.

All research staff in CIL will have access to professional development opportunities (e.g., events, seminars, and training programmes) within NUS. They will also have opportunities to attend regional and international conferences, workshops and symposiums as well as other scholarly opportunities.

Qualifications

• An LLM or JD degree or equivalent experience;
• A solid foundation in international economic law, e.g., trade, investment and other areas of international economic law broadly understood;
• Excellent analytical, research and writing skills;
• A high degree of self-motivation and strong organisational and computer skills.

Application Procedures

Interested applicants are invited to apply directly via the NUS Career Portal with the following supporting documents :

• A covering letter indicating experience, motivation for applying to work at CIL, and research interests
• A detailed curriculum vitae (no more than three pages) setting out educational and work history
• University transcripts
• One sample of written work
• The names and details of two referees

Please note only shortlisted candidates will be notified. For enquiries, please contact Ms Huong Tam at [email protected]

More Information about CIL

CIL was established in 2009 as a university-level research institute at the National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law and the Lee Kwan Yew School of Public Policy. As a university-level research institute, CIL engages in both legal and multi-disciplinary research on wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. More about CIL can be found here: https://cil.nus.edu.sg

Project Overview

SMART M3S is undertaking a project that includes three key work streams:

1) Content: Developing an ontology encompassing various activities, actors, and processes arranged systematically. This involves:

• Extracting content from databases like the Department of Labor's O*Net.
• Human Curation and editing.
• Utilizing Large Language Models(LLMs) for content generation.
• Applying machine learning and statistical techniques to identify clusters of similar activities.

2) Software Tools: Creating a suite of software tools to :

• Browse, edit, and search the online knowledge base.
• Extract content from diverse sources.
• Facilitate human review.
• Integrate LLMs for content generation.
• Support applications demonstrating the ontology's usefulness.

3) Applications: Developing proof-of-concept applications by the end of the one-year project to showcase the ontology's utility. Potential areas include:

• Rapid identification of use cases for generative AI tools.
• Automated generation of detailed workflows and task assignments.
• Stimulating human creativity to address business and societal challenges like climate change and democratic processes.

Responsibilities

The Full Stack Developer will perform the following:

• Design, develop and maintain software tools essential for creating and managing the ontology and its applications.
• Work closely with a multidisciplinary team of researchers, developers, and content specialists.
• Integrate Large Language Models into software applications to enhance functionality.
• Optimize existing codebases for performance and scalability.
• Conduct code reviews, write unit tests, and ensure software reliability.

Requirements

• Bachelor's Degree with proven experience and a strong portfolio
• Deep knowledge and hands-on experience with the following technologies:

1) Frontend:

• Next.js
• TypeScript
• MUI (Material-UI)
• D3.js

2) Backend:

• Node.js
• Firebase and Firebase Cloud Firestore

3) Testing:

• Jest
• Cypress
• Proficiency in LLM Prompt Engineering.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Strong verbal and written communication skills.

_________________________________________________________________

Applicants are required to complete the following as part of the screening process:

1) Clone and Optimize

-Clone this code sandbox (https://codesandbox.io/p/sandbox/react-usestate-update-nested-in-another-usestate-functional-update-r4lwq0?file=%2Fsrc%2FApp.js)

-Optimize the code for performance and readability.

2) Submit Solution:

-Provide the URL to your optimized solution.

-Include a detailed description of the optimizations made and the reasoning behind them.

GitHub Respository: Link to your GitHub profile showcasing relevant projects.

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

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

Job Specifications

• Process accounts and incoming payments in compliance with financial policies and procedures
• Verifying, classifying, posting and recording accounts receivables’ data
• Generate reports detailing accounts receivable status
• Perform cash collection & cash count
• Update/offset receipts from customers
• Prepare bank deposits
• Ensure timely submission of Statement of Account (weekly / monthly)
• Facilitate payment of invoices due by sending bill reminders, follow up with customers on payments and contacting clients
• Liaise with sales team/customer service on clients’ billing issues, CN and payment discrepancies
• Assist in AP when required

Job Requirements

• At least LCCI or any other Professional Certificate/NiTEC in Accountancy or equivalent.
• Minimum 2 Year(s) of working experience in the related field.
• Knowledge in Navision system will be an advantage
• Proficient in Excel
• Positive and Hardworking

Job Description:

- Main contact point for customers.

- need to liaise with warehouse and suppliers related to their account they handled

- handling of inbound and outbound of the customer shipment, includes discrepancies

- handles emails, and phone calling.

- arrange local transportation, Courier booking or export booking if any

- Generating of report

- inventory management and Stock take

- Month end Billing

- any other ad hoc request from superior

- backup buddy system

- working hours - Mon to Friday 8.15am to 5.30pm

- OT Required (if requested)

Key Responsibilities:

• Payroll Processing:

Responsible for the timely and accurate processing of Payroll

Handle staff resignation and income tax related matters

Support in administration of staff benefits includes reimbursement, update of Annual Leaves, Medical Leaves & etc.

Cross checking new hire staff personal data keyed in by TA team.

• System Maintenance and Support:

Maintain and update the payroll system, ensuring it is functioning correctly and efficiently.

Implement system upgrades and patches as necessary, working with IT and software vendors.

• Compliance and Reporting:

Ensure compliance with local laws and regulations related to payroll, tax, and statutory requirements.

Assist in audits and inspections by providing necessary payroll information and documentation.

• Process Improvement:

Identify opportunities for process improvements and automation within the payroll system.

Develop and implement best practices for payroll operations to enhance efficiency and accuracy.

Collaborate with HR, finance, and IT teams to streamline payroll processes and integrate systems.

• Documentation and Record Keeping:

Maintain accurate payroll records, ensuring all employee information is up-to-date and securely stored.

Document payroll processes and procedures, creating and maintaining a payroll manual for reference.

Ensure timely and accurate filing of payroll-related documents and records.

Any other ad-hoc duties as assigned

Qualifications:

Diploma in Human Resources, Accounting, Finance, or related field.

Minimum 3 years of experience in payroll administration, preferably in a similar role.

Proficiency in payroll software and systems; experience with InfoTech is an asset

Strong understanding of Singapore payroll laws and regulations.

Excellent attention to detail and accuracy in handling payroll data.

Strong analytical and problem-solving skills.

We are seeking an experienced Bioinformatics Scientist to support new diagnostics product development and support data analytics in software development for Software as a Medical Devices. In this role, you will play a crucial role in driving the successful execution of diagnostic products in collaboration with external partners. The ideal candidate should possess a strong background in bioinformatics and knowledge of biostatistics is highly preferred.

Job Responsibilities:

• Design, development and deployment of latest bioinformatics analysis pipelines for IVD development.
• Design, development and deployment of Bioinformatics pipelines in multi-omics data such as NGS processing, analysis, and reporting for IVD product development
• Provide Bioinformatics analysis support for diagnostics assay product development.
• Provide Biostatistics analysis support for clinical study of diagnostics product development.

Job Requirements:

• PhD or Degree in Computational Biology, Bioinformatics, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. 1- 2 years of experience or equivalent in industry settings.
• Proficient in working language with Python, R/Matlab. Good knowledge of bioinformatics workflow languages such as Nextflow, Snakemake and Common Workflow Language (CWL).
• Experience with biostatistical analysis and AI machine learning for biomarker identification and predictive model development.
• Experience with Biopython, Bioconductor, Linux and cloud-based deployment is advantageous.
• Knowledge of statistical software such as Minitab, R, SAS/STAT and SPSS, etc. is a plus.
• Experience with IVD (compliance, validation) is a plus.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.

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 Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 5 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication 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.

A*STAR Infectious Diseases Labs (A*STAR IDL) is actively seeking a Scientist to join our mission of becoming a leading centre for infectious diseases research. A*STAR IDL aims to develop a cohesive A*STAR response integrated with National PREPARE programme, and to advance translational research in infectious diseases to improve both health and economic outcomes.

The Genetics of Host Immunity Lab at A*STAR IDL focuses on studying the genetic and immunological determinants of life-threatening viral diseases. We are interested in how variants in human genes, or their immunological phenocopies, can predispose patients to severe viral diseases upon exposure to common, yet typically benign viruses. Better understanding of the cause and mechanism of disease that drive the clinical manifestations in patients can guide the development of targeted and effective therapeutic strategies against viral infections.

We are looking for a motivated and dynamic researcher to join us in this adventure. This work will require the selected candidate to work in a BSL-2 and BSL-3 facility.

Job Descriptions:

• Leading projects within the lab including designing and conducting the experiments, performing the analyses and documenting the results, as well as ensuring the timely achievement of project milestones
• Work with patient cohorts and relevant pre-clinical models (both in vitro and ex vivo) of infectious disease in BSL2, BSL2-enhanced and BSL3 facilities
• Participates in collaborations, conducting presentations to research collaborators, including industry partners
• Develop new research techniques, approaches or products that could create new intellectual properties, patents and publications
• Mentoring of students and participation in A*STAR- or Institute-related events

Job Requirements:

• PhD in Genetics, Biomedical Sciences, Microbiology, Immunology, Infectious Diseases or related fields – Candidate with genetics and infectious diseases background would be preferred
• 1-2 years of relevant experience. Candidates with no experience may apply
• Experience in infection/immunity, handling of BSL-2 viral pathogens, iPSC handling, cell culture, flow cytometry, organoid generation, cellular and molecular biology
• Strong analytical, technical, and problem-solving skills
• Demonstrated ability to complete research projects
• Capable of performing effectively in a fast-paced setting
• Highly motivated and able to work independently as well as in a group
• Team player with good interpersonal 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.

We are seeking an experienced Bioinformatics Scientist to support new diagnostics product development and support data analytics in software development for Software as a Medical Devices. In this role, you will play a crucial role in driving the successful execution of diagnostic products in collaboration with external partners. The ideal candidate should possess a strong background in bioinformatics and knowledge of biostatistics is highly preferred.

Job Responsibilities:

• Design, development and deployment of latest bioinformatics analysis pipelines for IVD development.
• Design, development and deployment of Bioinformatics pipelines in multi-omics data such as NGS processing, analysis, and reporting for IVD product development
• Provide Bioinformatics analysis support for diagnostics assay product development.
• Provide Biostatistics analysis support for clinical study of diagnostics product development.

Job Requirements:

• PhD or Degree in Computational Biology, Bioinformatics, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. 3 - 4 years of experience or equivalent in industry settings.
• Proficient in working language with Python, R/Matlab. Good knowledge of bioinformatics workflow languages such as Nextflow, Snakemake and Common Workflow Language (CWL).
• Experience with biostatistical analysis and AI machine learning for biomarker identification and predictive model development.
• Experience with Biopython, Bioconductor, Linux and cloud-based deployment is advantageous.
• Knowledge of statistical software such as Minitab, R, SAS/STAT and SPSS, etc. is a plus.
• Experience with IVD (compliance, validation) is a plus.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.

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 Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 2 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication 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.

Job Description:

DxD Hub is an end-to-end productisation partner, committed to transforming the MedTech landscape in Singapore through innovative solutions sourced from both local and regional partners. Our strengths are in cross-disciplinary product development particularly in molecular diagnostics, protein immune assays, and digital diagnostic technologies.

We are seeking a Senior Engineer with system integration expertise with design oversight to join our team. As a vital member of our team, you will be involved in the design, development, and testing of medical devices, ensuring compliance with regulatory standards and industry best practices.

Your role will involve collaborating with cross-functional teams to create innovative solutions encompassing hardware, software and chemistry by conducting verification and validation activities, and providing technical support throughout the product lifecycle.

The ideal candidate will have a solid understanding of system integration principles, best practices in verification and validation testing, and knowledge of medical device regulations (such as ISO 13485).

Join our dynamic team and contribute to the development of cutting-edge medical devices that improve patient care and well-being.

Job Roles and Responsibilities:

• Develop high-level system architectures that meet user requirements while considering design feasibility.
• Ensure that all system components are compatible and can be integrated seamlessly.
• Design and implement integration strategies and validate the functions as intended while adhering to design principles.
• Lead collaborative teams for the design, implementation, and validation while is capable to perform hand-on testing independently if required to complete engineering or verification studies.
• Lead creating innovative solutions that align with both technical specification and user needs for medical products.
• Coordinate between design, engineering, assay, project manager, and other disciplines to ensure cohesive product development.
• Author or oversee the writing of protocols and reports.
• Foster collaboration among team members to address challenges from both a technical and design perspective.
• Creating and maintaining technical documentation, including design specifications, test protocols, and reports, ensuring compliance with regulatory requirements such as ISO 13485.

Job Requirements:

• Experience in system integration and innovation.
• Bachelor’s degree in Engineering, Design or equivalent engineering or science background.
• Comfortable with navigating uncertain situations without clear guideline.
• Adaptability to changing work conditions and project requirements.
• 5-10 years’ experience in cross-functional product development roles and completed one full product development cycle.
• Track record in working effectively with diverse teams, including engineering, design, and marketing.
• Strong interpersonal skills to facilitate communication between technical and non-technical stakeholders and ability to summarize and communicate complex problems in simple terms.
• Strong analytical skills to troubleshoot integration issues while considering design implications.
• Able to break down complex system in simple steps and identify interfaces between modules and generate system diagrams, workflows and reports.
• Curious and proactive approach to gather information necessary for decision-making.
• Knowledge of statistical tools for data analysis such as (Python/Matlab/Origin/LabView) will be a strong advantage.
• Experience with design software. Experience with CFD simulation software such as ANSYS is advantageous.

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.

Job Summary:

DxD Hub is an end-to-end productisation partner, committed to transforming the MedTech landscape in Singapore through innovative solutions sourced from both local and regional partners. Our strengths are in cross-disciplinary product development particularly in molecular diagnostics, protein immune assays, and digital diagnostic technologies. We are seeking a skilled and experienced Mechanical Design Engineer to join our dynamic team. The successful candidate will take on the responsibility of leading a team in the design and development of mechanical systems. The candidate will work closely with cross-functional teams to lead projects, conducting feasibility studies and overseeing product development. They will also ensure that designs comply with both technical specifications and regulatory standards.

Job Roles and Responsibilities:

• Conceptualise, design, and develop mechanical components and mechanisms for medical devices.
• Responsible for the preparation and maintaining design documentation such as specifications, bill of materials, test protocols, test reports, etc.
• Lead a team to perform structural analysis, thermal analysis, and other relevant tests to validate and optimise designs.
• Responsible for feasibility tests to assess the viability and performance of proposed designs.
• Work closely with cross-functional teams, including teams in molecular diagnostics, protein immune assays, and digital diagnostic technologies as well as electrical engineers, software engineers, and project managers.
• Ensure compliance with DxD Hub Quality Management system, standards, and regulatory requirements such as FDA, ISO13485, etc.

Job Requirements:

• Master’s or bachelor’s degree in mechanical engineering, or related field.
• At least 5 years relevant experience in mechanical design engineering and completed one full product development cycle.
• Three years of experience or equivalent in close and collaborative work with design managers and product managers.
• Experiences in leading a mechanical design team is a plus.
• Proficient in CAD software, such as SolidWorks, AutoCAD, etc.
• Strong understanding of engineering principles, materials, and manufacturing processes.
• Excellent problem-solving and analytical skills.
• Effective communication skills and ability to work collaboratively in a team.
• Knowledge in quality, product verification test, QMS, and ISO13485 would be an advantage.
• Self-driven team player who can work in a fast-paced environment.

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 Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Scientist:

We are looking for a simulation expert who will be part of the team developing a next-generation mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios.
• Develop behavioural rules for the simulation agents.
• Implement real-world dynamics including physical motion laws, power-flow, scheduling, and operational constraints as needed.
• Design, calibrate and validate simulation models.
• Optimise the performance of the simulation.
• Write research papers and present at conferences and communicate to project collaborators

Education and experience requirements:

• Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• At least 2 years of experience
• Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Minimum of two years of experience in simulation development.

Technical skills:

• Strong proficiency in Java and Python programming languages.
• Familiarity with electrified mobility technologies, electric vehicles, and charging infrastructure.
• Experience with version control systems (e.g., Git).

Experience/familiarity with any of the following is a plus:

• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).

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 Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Scientist:

We are looking for a simulation expert who will be part of the team developing a next-generation mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios.
• Develop behavioural rules for the simulation agents.
• Implement real-world dynamics including physical motion laws, power-flow, scheduling, and operational constraints as needed.
• Design, calibrate and validate simulation models.
• Optimise the performance of the simulation.
• Write research papers and present at conferences and communicate to project collaborators

Education and experience requirements:

• Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• At least 5 years of experience
• Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Minimum of two years of experience in simulation development.

Technical skills:

• Strong proficiency in Java and Python programming languages.
• Familiarity with electrified mobility technologies, electric vehicles, and charging infrastructure.
• Experience with version control systems (e.g., Git).

Experience/familiarity with any of the following is a plus:

• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).

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 successful candidate will work with Associate Professor Chua Lay Lay on Processing and characterization of polymer batteries under a project on Organic Thin-Film Energy Sources for Highly Distributed Nanopower Generation and thermal crosslinker.

The main responsibilities of the position include:
Processing and characterization of novel organic n-type and p-type storage and transport materials.

Qualifications

Qualifications / Discipline: PhD in Chemistry or Materials Science

Skills: Organic synthesis and spectroscopy techniques.

Experience: Organic semiconductor processing, FTIR, UV-VIS, XPS

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 Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint a Research Assistant to work on a major new project “Maximizing the beneficial environmental effects of tropical hybrid shorelines (MaxBETH)”. This interdisciplinary research aims to determine how hybrid coastal protection systems can be implemented at large scales in Singapore as well as assessing the challenges and benefits of up-scaling and identifying the effects of hybrid shorelines on biophysical processes.

The main responsibilities of the position include:

• Carry out geochemical surveys
• Conduct field and lab work to measure carbon flux
• Assist in administrative work to support the project
• Coordinate with sister projects
• Prepare research manuscripts, reports, and presentations

Job Requirements

Bachelor’s and/or Masters degree in Earth Sciences, Geochemistry Marine Biology, Ecology, Geography, Environmental Studies, or other similar discipline. The candidates should have a strong passion for marine environment-related research. Research skills include geochemical survey techniques and analysis, sampling designs and lab protocols to measure carbon flux, statistical analysis, writing abilities, as well as the capacity to work within a diverse group of scientists, are desirable. Candidates with previous first-authored ecological publications will be given priority.

Skills:

• Geochemical survey techniques and analysis
• Sampling designs and lab protocols to measure carbon flux
• Strong written and interpersonal communication skills
• Excellent time and resource management

Experience:

• Ability to conduct survey and analytical work in field and lab
• Familiarity with nature-based solutions/ecological engineering
• Evidence of published research would be preferred

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.