JOB DESCRIPTION

This job focuses on software development for Software as a Medical Devices. System engineer will be working closely with Project Managers and project teams to ensure the software as a medical device product management Lifecyle is followed thoroughly.

• Support project manager to plan and execute Software as a Medical Device (SaMD) projects including AI applied to healthcare.
• Support technical team in product development, design verification and validation of medical devices including software as medical device.
• Prepare, design and development documentation by working together with software developers, quality and regulatory personnel.
• Prepare project agreements, procurement specifications and technical documents.
• Follow-up on project milestones.

JOB REQUIREMENT

• Preferred to have one year of experience in software development or medical device product development.
• Educational background of computer engineering or bio medical engineering.
• Knowledge in software development, experience in software development environment will be an added advantage.
• Knowledge / willingness to learn the ISO 13485 documentation practices and drive project teams for adherence.
• Good follow up 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.

Strategic Innovation role is to support GIS T-BD office to develop, manage and track each innovation project in GIS within the FoS funnel.

He/She is to take the lead to drive translation outcome using the FoS engine as a mechanism such as calling/scouting/fishing for new innovation ideas, developing innovation projects, and validating/supporting the projects leaders to achieve funding and eventual spin-off. He/She will also constantly innovate and improve the FoS engine by working closely with GIS management and I&E, hence allowing the GIS to establish good and successful spin-offs.

1. Calling/scouting/fishing for new innovation ideas within GIS. Discussing with PIs, GIS Tech Biz Research Partnership team, Post-docs, to identify new innovation ideas to develop into innovation projects.

a) Attend GIS scientific event (ie. GIS weekly) to scout potential innovation ideas with commercial value.

b) Attend GIS Tech Biz TD showcase/review to scout potential innovation ideas from the TDs.

2. Work with Innovation Project Leaders to qualify/validate problem statement.

3. Work with PIs/Innovation Project Leaders to provide commercial assessment/evaluation (ie. Market assessment, validation with industry players) to the Innovation Projects.

4. Track, manage and report out progress of each innovation project.

5. Main point of contact for GIS? FoS.

6. Manage and oversees the community of EIR (including Innovation Project Leaders, GIS Innovation Fellow, Aspired Entrepreneur and Spun-off Alumni).

7. Any other duties assigned by supervisor.

Job requirements

1. Degree in Business Administration or equivalent, or Degree in scientific discipline related to GIS core businesses, e.g. Bioinformatic, or biomedical engineering, or biology, or chemistry, or equivalent.
2. Must possess an entrepreneurial spirit, must be innovative and drive to create, modify and build new frameworks to achieve objectives.
3. 5 years of industry experience in R&D, Business Development in medical devices and life sciences preferred or related industries.
4. Prior experiences leading innovation projects are preferred.
5. Customer-oriented and a team player.
6. Hands-on approach.
7. Ability to build and maintain long-term and short-term partnerships.
8. Occasional travel may be required.

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:
We are seeking an experienced Software Testing Engineer to join our dynamic team focused on developing cutting-edge medical device software. The successful candidate will be responsible for designing, executing, and maintaining comprehensive testing processes to ensure our software meets the highest standards of quality, safety, and regulatory compliance. This role requires a deep understanding of software testing and compliance.

Key Responsibilities:

• Design, develop, and execute test plans, test cases, and test scripts for software applications intended for use as medical devices.
• Collaborate with software developers and cross-functional teams to identify, document, and resolve software defects.
• Conduct various types of testing, including functional, integration, system, performance, and regression testing, to ensure software quality.
• Prepare and maintain comprehensive testing documentation, including test protocols, validation reports, and traceability matrices, required for regulatory submissions and audits.
• Work closely with quality assurance and regulatory teams to ensure software testing aligns with industry best practices and regulatory requirements.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Biomedical Engineering, or a related field.
• Minimum 2 years of experience in software testing, preferably in the medical device industry.
• Knowledge of software testing tools and frameworks (e.g., Selenium, JUnit, or similar).
• Strong analytical skills with excellent attention to detail.
• Effective communication and teamwork abilities.
• Experience with regulatory compliance and documentation for medical devices will be an advantage but not mandatory.

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.

Strategic Innovation role is to support GIS T-BD office to develop, manage and track each innovation project in GIS within the FoS funnel.

He/She is to take the lead to drive translation outcome using the FoS engine as a mechanism such as calling/scouting/fishing for new innovation ideas, developing innovation projects, and validating/supporting the projects leaders to achieve funding and eventual spin-off. He/She will also constantly innovate and improve the FoS engine by working closely with GIS management and I&E, hence allowing the GIS to establish good and successful spin-offs.

1. Calling/scouting/fishing for new innovation ideas within GIS. Discussing with PIs, GIS Tech Biz Research Partnership team, Post-docs, to identify new innovation ideas to develop into innovation projects.

a) Attend GIS scientific event (ie. GIS weekly) to scout potential innovation ideas with commercial value.

b) Attend GIS Tech Biz TD showcase/review to scout potential innovation ideas from the TDs.

2. Work with Innovation Project Leaders to qualify/validate problem statement.

3. Work with PIs/Innovation Project Leaders to provide commercial assessment/evaluation (ie. Market assessment, validation with industry players) to the Innovation Projects.

4. Track, manage and report out progress of each innovation project.

5. Main point of contact for GIS? FoS.

6. Manage and oversees the community of EIR (including Innovation Project Leaders, GIS Innovation Fellow, Aspired Entrepreneur and Spun-off Alumni).

7. Any other duties assigned by supervisor.

Job requirements

1. Degree in Business Administration or equivalent, or Degree in scientific discipline related to GIS core businesses, e.g. Bioinformatic, or biomedical engineering, or biology, or chemistry, or equivalent.
2. Must possess an entrepreneurial spirit, must be innovative and drive to create, modify and build new frameworks to achieve objectives.
3. 3-5 years of industry experience in R&D, Business Development in medical devices and life sciences preferred or related industries.
4. Prior experiences leading innovation projects are preferred.
5. Customer-oriented and a team player.
6. Hands-on approach.
7. Ability to build and maintain long-term and short-term partnerships.
8. Occasional travel may be required.

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:

• Preparation of mRNA-loaded polymeric or lipid nanoparticles using a microfluidic device.
• Evaluation of in vitro and in vivo gene transfection efficiency induced by the nanoparticles via intramuscular injection or subcutenous or i.v. injection.
• In vitro and in vivo toxicity studies.
• In vivo biodistribution studies.
• Participate in maintenance of equipment and procurement of consumables used for this project.
• Participate in lab safety and general housekeeping of the lab

Requirements:

• PhD in drug/gene delivery, pharmaceutical science, biomaterials or biomaterial science
• Familiarity in gene delivery with non-viral nanoparticles
• Highly motivated and able to work independently
• Team player with good interpersonal skills
• Good spoken and written 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.

The lab of Computational Transcriptomics at the Genome Institute of Singapore (led by Dr Jonathan Göke) is offering a position for a postdoctoral fellow to develop methods for analyzing long read transcriptomics data. The successful candidate will lead software and methods development to analyze RNA modifications from nanopore direct RNA-Seq data. The candidate is expected to develop new supervised and unsupervised approaches using statistics and machine learning, and to apply them to clinical samples. The position will be in close collaboration with experimental and clinical collaborators and industry partners, and provide full access to the capabilities of the sequencing platform.

The candidate will join an experienced team with expertise in collaborative software development and direct RNA-Seq data analysis (e.g. xPore, Nature Biotechnology (2021), m6Anet, Nature Methods (2022), bambu, Nature Methods (2023)), large scale transcriptomics data generation (e.g. the SG-NEx project), and access to the latest long read sequencing technologies. More information about the lab can be found online: https://www.jglab.org/ and www.github.com/goekelab

Requirements:

· PhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline

· Good programming skills and strong interest in methods development

· Experience in one or more of the following areas: algorithms development, transcriptome analysis, RNA modifications, statistics, machine learning, long read RNA-Sequencing, direct RNA-Sequencing

· Publication record with a first author publication (pre-prints are accepted)

· Excellent communication skills in written and spoken

We are searching for promising candidates who are great team players and actively seek opportunities to learn new skills. If you are unsure about your eligibility, please feel free to reach out via email.

Benefits

The Genome Institute of Singapore offers a competitive salary and a complete benefits package that ensures a very high living standard in one of the most modern cities in the world.

About Singapore and the Genome Institute of Singapore

Singapore is a city-state with one of the highest standards of living in the world and an international hub for the biomedical sciences. Singapore is a vibrant, tropical city, with rich Asian heritage and modern style of living, an ideal gateway to explore Asia, providing a unique experience and an excellent quality of life.

The Genome Institute of Singapore (A*STAR) is the national flagship program for genomic science in Singapore. You can find out more online: http://www.gis.a-star.edu.sg/

Contact and further information: For inquiries or to apply, please email your CV and a short introduction about yourself, your past research experience and your future research interests to Jonathan Göke ([email protected])

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.

Key Responsibilities:

• Develop, characterize, and evaluate 3D-printed metal alloy structures.
• Conduct mechanical testing, microstructural characterization, and process optimization of 3D-printed materials.
• Assist group leaders in writing research proposals.
• Collaborate with project team members and group leaders to achieve OKR（Objectives and Key Results).
• Author high-quality scientific publications and contribute to patent development.

Job Requirements:

• PhD in Metallurgy, Materials Engineering, Mechanical Engineering, or related fields.
• Strong publication record and/or relevant industry experience.
• Hands-on experience in metal 3D printing, including powder bed fusion, directed energy deposition, or related technologies.
• Proven expertise in metal alloy development, mechanical testing, and microstructural characterization.
• Experience with materials characterization techniques and performance evaluation in extreme environments.
• Solid understanding of metallurgy, machining, and alloy post-processing techniques.
• Proactive and results-driven individual with the ability to work independently.
• Effective team player with strong problem-solving and collaboration 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.

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 looking for highly talented and motivated candidates to work on developing new functional materials. Candidate must be able to work in a fast-paced and dynamic environment with researchers across different disciplines. Candidate should have experience in sensing materials or self-healing materials.

Qualifications

PhD degree in Material Sciences, Electrical/Electronics, Applied sciences, basic sciences, technology, mechanical engineering or other relevant fields. Experience with data analytics/AI models a plus.

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 (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 be responsible for working closely with the Principal Investigator on one or more projects.

Description

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• Ph.D. in Computer Science, Cybersecurity, or a related field: A terminal degree in a relevant field is essential to demonstrate the depth of knowledge and expertise required for conducting advanced research in AI and cybersecurity.
• Research Experience in Fuzzing and AI: Proven track record of conducting research in fuzzing techniques and artificial intelligence, with a focus on deep learning, natural language processing, or reinforcement learning. Experience in applying AI methods to cybersecurity problems is highly desirable.
• Publication Record: Demonstrated ability to publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering. Strong publication record in top-tier venues indicates the ability to contribute novel insights to the field.
• Programming and Software Development Skills: Proficiency in programming languages such as Python, C/C++, or Java is necessary for developing and implementing AI algorithms and fuzzing tools. Experience with software development methodologies and version control systems is advantageous.
• Analytical and Problem-Solving Skills: Strong analytical skills and problem-solving abilities are essential for designing experiments, analyzing data, and deriving actionable insights from research findings. Experience with experimental design and statistical analysis techniques is beneficial.
• Communication and Collaboration Skills: Excellent written and verbal communication skills are required to convey complex ideas and technical concepts to both technical and non-technical audiences. Ability to collaborate effectively with interdisciplinary teams and communicate research findings clearly is crucial.
• Self-Motivation and Initiative: Demonstrated ability to work independently and take initiative in driving research projects forward. Proven track record of self-motivated learning and exploration of new methodologies and technologies in the field of AI and cybersecurity.
• Candidates who meet these qualifications and possess a strong passion for advancing the state-of-the-art in AI-aided cybersecurity, particularly in the domain of fuzzing, are encouraged to apply.

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 Dr Liu Boxiang on single-cell multi-omic analysis under a project on developmental trajectory of pancreatic islets.

The main responsibilities of the position include:
- Generating single-cell multi-omic data
- Single-cell multi-omic data analysis
- Manuscript writing

Qualifications

• Qualifications / Discipline: PhD in Bioinformatics

• Skills: RNA-seq and single-cell multi-omic analysis, sequencing data generation

• Experience: PhD in bioinformatics; industry research experience preferred.

A*STAR Strategic Research and Translational Thrusts (SRTTs) are mission-focused programmes in strategic and emerging areas that are cross-disciplinary and of wider strategic interest to A*STAR and Singapore. Set up to address ambitious technological challenges towards impactful outcomes, each SRTT is led by a Programme Director (PD) and is centrally facilitated and supported by A*STAR HQ.

The Future Energy Acceleration and Translation (FEAT) SRTT pioneers next-generation technologies for critical components in extreme environments, thereby addressing today’s industrial challenges and accelerating the realisation of future energy solutions.

Project Manager (PM) and PM Administrator, Strategic Research and Translational Thrust SRTT

Job description:

• Responsible for managing R&D projects and product delivery within FEAT SRTT by planning, organizing, communicating with all FEAT SRTT team members and external stake holders under the guidance of FEAT SRTT Programme Director (PD) and Scientific Programme Manager (SPgM).
• Establish internal and external stakeholder communication & escalation plans, build project / programme schedules, identify and manage major risks, and define clear project / programme deliverables and milestones.
• Assist the FEAT SRTT PD and SPgM to ensure successful delivery of project / programme scope and targets while managing project / programme risk, quality, delivery, scope, schedule, and budget (and project change when required).
• Work with FEAT SRTT scientists and SPgM to bring together grant proposals to secure competitive funding and coordinate cross-project activities, under the guidance of Programme Director as well as Tech-Biz for industry engagements.
• Assist the FEAT SRTT PD and SPgM to manage and implement project / programme changes and interventions to achieve project deliverables and mitigate risk, and to lead, monitor and report the progress of the multiple projects to all internal and external stakeholders.
• Work closely with Tech-Biz officer to support industry engagements and projects, ensuring effective communication throughout the project life cycle.
• Lead and drive solutions for quality, procurement, finance and legal challenges, working closely with the various department and corporate support partners.
• Draft, update and maintain key documents relevant to project lifecycle (if relevant).
• Serve as main administrator of A*STAR project management system (A*PS) to support the roll-out and systematic set up of project management to SRTTs (present and future).
• Guide and train the SRTT project managers to use the A*PS including onboarding.
• Work closely with Central Project Management Office (CPMO), SRTT Programme office, internal colleagues and external stakeholders effectively for execution and implementation of PM processes, policies and projects and assists in the development of best practices of project management.
• Interprets functional A*STAR policies such as project life cycle management, risk management to ensure that plans are aligned to organisation objectives.
• Rollout risk management framework, including Enterprise Risk Management, Business Continuity Management for SRTTs.
• Generate dashboards to regular project reporting as required to management to effectively govern SRTT’s portfolio, programmes, and projects.
• Other exigencies of ad-hoc duties as required

Job Requirements:

• Master or Bachelor in any sciences/project management related discipline.
• Candidates with experience and knowledge in future energy (e.g. nuclear, hydrogen, geothermal) or existing industries (e.g. aerospace, O&G, space, semiconductor) will have an advantage.
• At least 3-5 years of project management experience in technology transfer, product development or research project would be preferable.
• PMP certifications (or equivalent) and experience with Microsoft’s Project System are an advantage.
• Ability to demonstrate a good level of understanding of technical / engineering processes and lead teams throughout the project development cycle.
• Good business acumen, driven to deliver customer requirements and project deadlines.
• Proactive team player and technically motivated to solve problems, innovate and deliver to internal and external customers.
• Good understanding of research administrative and grant processes.
• Experience in managing and roll-out enterprise software is required. Familiarity with PowerBI is a plus.
• Strong planning and analytical skills with an eye for details.
• Strong communicator with excellent interpersonal skills and stakeholder management skills.
• Able to work independently in a diverse 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.

Job Description:

• Preparation of mRNA-loaded polymeric or lipid nanoparticles using a microfluidic device.
• Evaluation of in vitro and in vivo gene transfection efficiency induced by the nanoparticles via intramuscular injection or subcutenous or i.v. injection.
• In vitro and in vivo toxicity studies.
• In vivo biodistribution studies.
• Participate in maintenance of equipment and procurement of consumables used for this project.
• Participate in lab safety and general housekeeping of the lab

Requirements:

• PhD in drug/gene delivery, pharmaceutical science, biomaterials or biomaterial science
• Familiarity in gene delivery with non-viral nanoparticles
• Highly motivated and able to work independently
• Team player with good interpersonal skills
• Good spoken and written 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.

Duties and Responsibilities
- Assist the Manager in monitoring the daily operations of the ICT helpdesk, and work with the outsourced Desktop engineer to provide end user support.
- Provide support for school events and activities.
- Maintain and troubleshoot ICT inventory including hardware and software.
- Maintain inventory of IT and audio visual systems and equipment and its proper documentation.
- Monitor IT contracts, renew or procure new service contracts where necessary.
- Manage student learning portals such as google workspace, apple school manager.
- Collaborate with external IT infrastructure maintenance team to provide level 1 support.
- Maintain and prepare internal exam server to meet exam requirements.
- Responsible for daily operations, conducting briefing on new applications and conduct staff induction.
- Assist In ICT projects when necessary.
- Explore new technology that meets school’s needs.

Requirements

1. Diploma in IT/Computer Science
2. Minimum 2 years of relevant working experience. Candidate with Window and Apple environment is
   added advantage.
3. Good communications and customer service skills.
4. Hands on experience using Apple, Google related applications.
5. Hands on experience using Window Server Management (Hyper V Virtualization)
6. The following technical Certification is an added advantage:
   (a) Apple certification
   (b) Microsoft Server certification(MCSA/MCSE)

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 intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the NUS Career Portal.

Qualifications

• A PhD in statistics or a related field is required.

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 Li Dan on Prevention of microbial contamination in cell culture meat system under a project on Bezos Center: alternative protein.

The main responsibilities of the position include:

• Screen and develop mitigation strategies of cell culture systems with AI-assisted tools;
• Build scaled-up cell culture meat systems and test the proposed antimicrobial strategies;
• Draft research reports and manuscripts;
• Attend conferences and events to publicize the research outcomes and initiatives;
• Guide research students and advise their thesis.

Qualifications

• Qualifications / Discipline: PhD in food science and food microbiology.

• Skills: Microbial cultivation and test, multi-omics analysis, food chemistry

• Experience: PhD training with the skills required in this 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

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

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody.

Position – Senior Scientist in Pharmacology Unit

CPR is seeking a Ph.D. Scientist with expertise in in vitro and in vivo pharmacology studies. The candidate will also be responsible for disease target validation and have a strong background in the area of oncology. The candidate will lead antibody screening for a drug discovery project. Depending on the experience and opportunity, the candidate will also lead antibody drug discovery project and participate in strategic discussions to advance programs through pipeline.

Responsibility

The applicant should be highly skilled in some of the following areas:

· Design and conduct experiments to investigate novel therapies

· Mentor junior researchers and research associates

· Propose a new drug discovery project

Job Requirements

The applicant should be highly skilled in some of the following areas:

• Proficiency in cell culture techniques with various cell lines
• Expertise in molecular biology techniques (generation of cell lines with overexpression, knockdown, and knockout of a gene, PCR, qPCR, Western blotting, ELISA)
• Experience with flow cytometry and cell sorting
• Knowledge of cell lines and animal models in cancer research
• Primary cell isolation and culture techniques
• Experience with drug discovery research would be highly advantageous
• Three to five years of post-doctoral research experience in oncology would be highly advantageous.

The applicant must have completed and be awarded with a relevant Ph.D. degree in Science or related field (not in the process of achieving it) with 1-2 years of working experience in a related field. In addition, the successful candidates must be able to demonstrate their molecular and cellular biology expertise as evidenced by projects, presentations, or peer-reviewed scientific publications.

Scientists with strong passion in medical science for creating and delivering innovative drugs to society which leads to saving patients suffering from unmet medical needs are highly desired. Familiarity or having prior work experience in antibody drug discovery work will be a plus, although not absolutely necessary. You should also possess good command of spoken and written English, excellent organizational and communication skills, team player mindset, as well as the ability to perform multi-task.

Interested applicants are invited to email their detailed resume, as well as their qualifications, availability, current and expected salary to: [email protected]

For more information regarding our Company, you may refer to our website at:

http://chugai-pharmabody.com/

We regret that only short-listed 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 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/

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

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.

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

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 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

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