ROLE:

A*Star-IME is currently working on establishing a hybrid fabrication platform for 150mm and 200mm Silicon Carbide (SiC) power MOSFETs as a new pillar on Singapore"s Future of Microlectronics in wide-bandgap. The main objective of this SiC RnD program is to advance 200mm SiC technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The ultimate aim is to drive disruptive innovations in power device research, specifically focusing on >1.7KV power MOSFETs. These innovations will have significant applications in enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. Key aspects for this role to be successful include the development and integration of several process modules, such as gate oxidation, implantation, implant activation, layout design verification, lithography, and ohmic contact formation. We are actively looking for individuals with extensive industry experience in device physics and process integration to join our team. The candidate will contribute to process integration, E-test and module process related data analysis, yield enhancement, and device physics.

RESPONSIBILITIES:

• Lead develop process technology for SiC power MOSFETs and ensure it meets the requirements for prototyping manufacturing

• Collaborate with advanced process module development team to establish a process flow for fabricating specific MOS devices

• Responsible to develop and improve test structures that enable fast and rigorous characterization of process

• Accountable to improve device performance and yield through the design, execution, and analysis of experiments for each specific device and product

• Work with cross-functional teams to minimize defects and address technical and yield concerns

• Drive CIP (Continuous improvement plans) to deliver integrated process modules and specific device per project goals

• Make decisions regarding the delivery of process, active and passive devices to multiple customers

REQUIREMENTS:

• MS/PhD Degree in Electrical Engineering or related field

• >3 years industrial experience for MOSFET process integration and device physics

• Proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions

• Extensive expertise in material and process integration

• Comprehensive understanding of semiconductor materials and the physics of MOSFET devices

• Strong communication skills to effectively communicate information about module integration for device fabrication and with customers

• Excellent analytical skills for interpreting process and device data, coupled with strong presentation abilities

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

As part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will contribute to developing analog circuit blocks e.g. low-power operational amplifiers, voltage/current references, and voltage regulators based on thorough topology analysis. This candidate will work closely with other team members for the circuit design, test verification, as well as system integration and validation for a broad range of innovative sensor systems.

Role & Responsibilities

• Circuit schematic design and simulation, layout supervision, pre-tapeout design verification, test plan development and chip measurement
• Work together with teams to investigate novel circuit/system solutions to create new inventions

Requirements

• Bachelor’s / Master’s degree in Electronic Engineering
• Good understanding of CMOS analog IC design methodologies
• Familiar with analog IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

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 a Research Fellow position in the characterization of adaptive immunity against emerging highly pathogenic viruses, within the Infectious Diseases Translational Research Programme (ID TRP) at the Yong Loo Lin School of Medicine. The ID TRP is a 17-member programme comprising both basic scientists and clinician-scientists, enabling seamless translation of research. The programme has strong expertise in bacterial antibiotic resistance, multidrug resistance, and emerging viruses, covering areas such as epidemiology, molecular mechanisms, animal models, and therapeutic and prophylactic interventions. Other active areas of research include phage biology, pneumococcal infections, and microbiome studies. Appointments will initially be made on a yearly contract basis, with the possibility of extension.

Purpose of the post

We are seeking a highly motivated individual with a strong passion for emerging viral diseases, who is eager to contribute to advancing our understanding of infectious disease threats in this region and to help strengthen preparations for future pandemics. As a Research Fellow (RF), you will play a pivotal role in the project, working closely with the Principal Investigator and the broader study team to ensure the project is completed on time and with high impact.

The primary responsibility of the RF will be to lead the project independently, while also collaborating closely with our regional study partners. You will be expected to design, execute, and oversee experiments, particularly in animal models, to investigate immune responses to emerging viral pathogens. This will involve conducting both humoral and cellular immunological assays, with a focus on understanding how the immune system responds to new and potentially dangerous viral threats.

The ideal candidate will have a strong background in immunology and virology, with expertise in studying immune responses—both humoral and cellular— to infectious diseases. You should be comfortable working independently and taking ownership of the project, while also having the ability to communicate effectively and collaborate with diverse teams of researchers. This is an exciting opportunity for a researcher passionate about making a meaningful contribution to public health and pandemic preparedness.

Main Duties and Responsibilities

The RF will be responsible for:

• Designing and developing assays to assess humoral and cellular immune responses to infectious diseases.
• Conducting animal experiments, with a focus on immunization and infection studies.
• Characterizing and isolating monoclonal antibodies from immunized mouse models.
• Supervising and training research assistants and undergraduate students.
• Collaborating with team members to provide expertise in study design and data analysis.

Qualifications

The applicant should ideally:

• Hold a PhD in virology or immunology.
• Have expertise in T cell and antibody-related techniques.
• Possess hands-on experience in handling laboratory animals.
• Demonstrate a strong research background, with a track record of publications in related fields.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Tan Chee Wah at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

Position title : Afterschool Care Teacher

• Location: Woodleigh
• Working Days: 5.5day
• Working Hours-Monday to Friday 1030am to 7pm
  - Saturday 9.30am to 1.30pm
• Salary : $2,200 - $3,300

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Job Responsibilities

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 5) to ensure completion of daily homework.
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct unique enrichment programmes.
• Ensure safety and timely transfer of students from school to student centre.
• Ensure safety of children within the premises.
• Any other ad-hoc duties as delegated by Centre Director.

Job Requirements

• Diploma or higher in any discipline with minimum of 2 years of teaching experience with primary school students.

About EDDC:

EDDC is a National platform dedicated to developing innovative therapies that transform patients' lives. Our research and development efforts are focused on uncovering the underlying mechanisms of disease and translating this knowledge into impactful treatments. We work collaboratively with public sector and industry partners to translate scientific discoveries arising from Singapore"s biomedical and clinical sciences R&D into innovative healthcare solutions, with a focus on Asian-prevalent diseases.

Position Summary:

We are looking for an experienced research scientist in biologics drug discovery to lead biologics projects and platform. The successful candidate will lead the planning and execution of drug discovery projects, coordinating among different scientific disciplines to implement strategic initiatives, monitor the progress of discovery projects and address any development bottleneck. The role also involves facilitating interactions with internal teams, external partners, and key stakeholders.

Project leadership:

• Lead 1-2 biologics project/platform, including scouting, nominating and driving the projects to meet key milestones
• Collaborate cross-functionally to align project resources and execution, proactive in proposing innovative solutions in the development of biologics therapeutics.
• Plan and execute complex research experiments on a need basis.
• Apply biologics technologies to enhance project innovation and efficiency.
• Partner with external academic and industry collaborations to advance new partnership opportunity.

Function innovation and continuous improvement:

• Active contribution to the function group by offering technical expertise in biologics drug discovery and development.
• Identify and evaluate new process improvement, technologies and approaches and effectively apply to project.

Job Requirements:

• PhD in in pharmaceutical sciences and related biomedical disciplines.
• A minimum of 5 years relevant postdoctoral or pharmaceutical industry experience with a strong focus on biologics drug discovery.
• Demonstrated ability to manage multiple parallel projects.
• Demonstrated capacity to conceptualise, strategise and execute research plans.
• Strong written and verbal communication skills, with an ability to interpret and explain complex data.
• Self-motivated, fast learner with strong organization skills.
• Good interpersonal skills, team-orientated with strong collaborative spirit in building relationships internally and externally.

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

1. Policy implementation: Review and update policy on research security and collaborate with research units to implement related procedures and protocols.
2. Risk Assessment: Conduct regular risk assessments of research projects and facilities to identify potential security vulnerabilities and develop mitigation strategies through review of research agreements and related documents.
3. Training and Awareness: Develop awareness/training program for faculty, staff, and students on research security best practices, compliance requirements, and incident reporting procedures.
4. Point of Contact: Serve as the primary point of contact for internal and external stakeholders for research security matters. Work closely with various departments, including IT, compliance, legal, and research units to promote a culture of security and compliance in research activities.
5. Monitoring and Reporting: Monitor compliance with research security policy, perform related analysis and prepare reports for senior management on related activities. Support scheduled compliance audit/inspection on research security readiness and mitigation measures compliance and recommend improvements and follow up actions.

Qualifications

• Recognised degree in science or engineering discipline preferred;
• At least 5 years’ working experience in research management/administration or similar roles in compliance;
• Experience in research related functions in higher education sector, or research contracts management will be an advantage;
• Knowledge or experience in reviewing and developing policies and procedures;
• Excellent communication, analytical, and organizational skills and ability to work collaboratively in a diverse environment; strong problem-solving capabilities;
• Meticulous, independent and organised individual with the ability to maintain confidentiality and discretion as may be necessary in the job function.

Job Description:

• Developing and optimizing thin film processes, such as Physical Vapour Deposition (PVD) and e-Beam Evaporation for Micro-Electro-Mechanical-Systems (MEMS), Wide-Band-Gap (WBG) and Photonics applications.
• Thin film property characterization and process issue troubleshooting.
• Develop film defect reduction and yield improvement strategies.
• Act as a subject matter expert and resource for colleagues in integration teams.
• Work with Fab team in establishing statistical process control for thin film module.
• Generate and present reports to both internal and external customers.

Job Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3+ years direct industry experience in PVD and evaporation is preferred.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Understanding of thin film tool hardware, especially PVD and evaporation, is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, FTIR, XPS, ellipsometry is advantageous.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

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 an experienced and proactive Genomics and Data Analytics Core (GeDaC) Facility Manager to lead and expand our team at Cancer Science Institute of Singapore. The ideal candidate will bring together a scientific background, business development expertise, and operational leadership skills to drive growth, build partnerships, and ensure the financial sustainability of GeDaC. This position will be key to advancing our facility’s presence in the genomics and data analytics fields, particularly in supporting cancer research initiatives. This is a unique opportunity to shape the future of bioinformatics research through a cutting-edge core facility. If you are a passionate and motivated individual with a strong business acumen, we encourage you to apply.

Strategic Leadership and Operational Oversight:

• Lead the day-to-day operations of the GeDaC facility, ensuring high-quality service delivery and operational efficiency.
• Develop and implement strategic initiatives to enhance GeDaC's impact within the Cancer Science Institute and across Singapore’s research community.
• Identify and address operational bottlenecks and areas for improvement, optimizing workflow to increase productivity and client satisfaction.

Marketing and Business Development:

• Create and execute a comprehensive marketing plan to promote GeDaC’s genomics and data analytics services, targeting both academic and industry partners.
• Establish and maintain relationships with key stakeholders, including principal investigators, research labs, healthcare professionals, and corporate partners.
• Conduct market research to stay abreast of advancements and emerging trends in genomics and bioinformatics, using insights to inform service offerings and identify new revenue opportunities.
• Represent GeDaC at conferences, workshops, and networking events, showcasing the facility’s capabilities and building a strong client network.

Financial Management and Revenue Growth:

• Develop and manage the facility’s budget, monitoring revenue and expenditure to ensure financial sustainability.
• Lead contract negotiations with clients and vendors, setting pricing structures that reflect market value and service costs.
• Track service utilization and generate periodic performance reports, using data to drive business strategies and make informed decisions about resource allocation.
• Oversee billing, invoicing, and collection processes, ensuring timely and accurate payments.

Product Development and Client Relations:

• Collaborate with scientific and technical teams to develop new services and products that meet the evolving needs of the genomics and data analytics research community.
• Engage with clients to understand their research objectives, providing tailored solutions and ensuring high levels of satisfaction.
• Act as the primary point of contact for client inquiries, addressing concerns promptly and fostering long-term partnerships.

Qualifications

• At least Master's Degree in Genomics, Bioinformatics, Data Science, or a related field, with a strong foundation in cancer genomics or biomedical research.
• Proven experience in business development, marketing, or management roles within a scientific or technical services environment, preferably in core facilities or research institutes.
• Demonstrated ability to create and execute business strategies that drive growth and financial sustainability.
• Strong leadership skills with a proactive and collaborative management style.
• Deep understanding of genomics, bioinformatics, and data analytics, with the ability to translate scientific capabilities into client-focused solutions.
• Proficiency in budgeting, forecasting, and revenue tracking, with a track record of managing financial performance.
• Excellent written and verbal communication skills for engaging diverse audiences, including researchers, clinicians, and corporate clients.
• Forward-thinking with the ability to foresee industry shifts and adjust strategies accordingly.
• Committed to providing exceptional service and fostering long-term client relationships.
• Ability to manage multiple tasks effectively while maintaining a high level of attention to detail.

Job Description:

• Developing and optimizing thin film processes, such as Physical Vapour Deposition (PVD) and e-Beam Evaporation for Micro-Electro-Mechanical-Systems (MEMS), Wide-Band-Gap (WBG) and Photonics applications.
• Thin film property characterization and process issue troubleshooting.
• Develop film defect reduction and yield improvement strategies.
• Act as a subject matter expert and resource for colleagues in integration teams.
• Work with Fab team in establishing statistical process control for thin film module.
• Generate and present reports to both internal and external customers.

Job Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3+ years direct industry experience in PVD and evaporation is preferred.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Understanding of thin film tool hardware, especially PVD and evaporation, is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, FTIR, XPS, ellipsometry is advantageous.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Job Description

Dr Chen Jinmiao is looking for a motivated Research Associate to join the Centre for Computational Biology (CCB) who will participate in AI-powered analysis of single-cell and spatial omics for precision medicine. Dr Chen’s research team develop AI algorithms for spatial and single-cell omics, integrates publicly available data into a centralised hub, and utilises this platform to build AI models for discovering biomarker and drug targets.

The selected candidate will perform a variety of research activities under the supervision of the Principal Investigator, including but not limited to the following:

• Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data.
• Independently carry out computational and bioinformatics analysis for large-scale spatial and single-cell omics as well as next generation sequencing studies.
• Application of qualitative and quantitative research techniques which include accurate in-depth assessment, interpretation, and evaluation of -omics data sets, conceptualize new ideas and develop plans for independent research in the field of single-cell and spatial omics and other -omics data modalities.
• Write and review research papers and present research outcomes.
• Perform routine duties related to the research study, such as data curation and making data backups, as required.
• Contribute to project management, provide guidance to junior researchers as well as undergraduate and graduate students, occasional educational/instructional activities.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in a related scientific area (e.g., AI, Deep Learning, Machine Learning, Statistics, Database, Bioinformatics, Computational Biology, Computer Science, Data Science, Data Analytics, Biology) with demonstrated hands on experience in bioinformatics and genetics/genomics data analyses.
• Familiar with and experienced in handling and manipulating omics datasets, including spatial transcriptomics, RNA-seq, and single-cell RNA-seq, etc.
• Proficient in R / Python and Linux / Bash.
• Prior experience and working knowledge of additional computational platforms and applications (e.g. Quantum computing, Perl, Java, etc.) preferred.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

The candidate will be joining the Antimicrobial Chemical Biology Lab, a newly established group in A*STAR ID Labs focusing on the development of synthetic antimicrobial compounds for potential therapeutic applications. Scholarship opportunities will be available for those interested in pursuing further education at the master’s or PhD level.

Research projects will encompass various tasks such as:

• Chemical synthesis
• In vitro activity testing
• Understanding mechanisms of action
• In vivo efficacy evaluation.
• Support the team in lab operation
• Upkeep of consumables
• Safety oversight
• Labware procurement
• Documenting experimental procedures and results.

Job Requirements:

• Bachelor’s degree in microbiology, biomedical science, chemistry, chemical engineering, bioengineering, or related field
• Familiarity with basic microbiology (e.g., bacteria/fungi culture, agar plating, PCR) and chemistry (e.g., reaction setup, column purification, HPLC) lab techniques, programming, and/or common graphics software (e.g., Photoshop) will be advantageous.
• Highly motivated and passionate about scientific research
• Good spoken and written communication skills
• Team player
• Receptive and detail-orientated

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.

Project Overview

We are hiring research engineers interested in advancing the state of the art in data-efficient machine learning at SMART in the new program: Mens, Manus and Machina: How AI empowers people and the city in Singapore (M3S).

With the recent emergence of large language models (LLMs), the research engineers will assist in investigating how data-efficient and resource-efficient techniques, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, active learning, can be applied in the context of LLMs (as well as important issues involving AI privacy, model auditability and updatability).

Responsibilities

• Research on topics related to data-efficient machine learning, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, and active learning, in the context of LLMs.
• Investigate how these concepts as well as important issues involving AI privacy, model audibility, and updatability can be applied in the context of LLMs.
• Develop, implement, and evaluate experiments to characterise the feasibility and performance of the proposed research ideas.
• Collaborate with other PhD and undergraduate students to publish research results in top-tier conferences and journals, with focus on venues associated with the above-mentioned areas .

The research engineer will be jointly advised by Prof. Daniela Rus (MIT CSAIL), Prof. Alex 'Sandy' Pentland (MIT Media Lab), and Assoc. Prof. Bryan Low (NUS School of Computing), and based at SMART (Singapore-MIT Alliance for Research & Technology) in Singapore. The research engineer will have the opportunity to collaborate with PhD and undergraduate students, as well as Postdoctoral Fellows, within our research groups.

For more information on our research group and interests, visit

https://danielarus.csail.mit.edu/

https://www.media.mit.edu/people/sandy/overview/

https://www.comp.nus.edu.sg/~lowkh/research.html

Requirements

• Degree or Masters Degree in Computer Science, Machine Learning, Artificial Intelligence, or other related disciplines.
• Strong publication record at premier AI/ML venues such as ICML, ICLR, NeurIPS, CVPR, ACL, EMNLP or similar.
• Strong proficiency in programming.
• Strong proficiency in English and communication skills.
• Experience with machine learning and deep learning frameworks such as Pytorch, Tensorflow, among others.

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.

The Research Assistant / Senior Research Assistant will conduct research in deep learning and Artificial Intelligence, perform experiments, and publish research papers in top-tier venues.

Qualifications & Experiences:

• Bachelor's / Master's degree in computer science, engineering, or a related field with a focus on computer vision, and an advanced level of understanding and expertise in the field.
• Proficiency in programming languages (Python)
• Familiarity with computer vision libraries and tools (such as OpenCV, TensorFlow, PyTorch) is essential.

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 Research Associate in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on two-year contract, with the possibility of further extension.

Purpose of the post

We are looking for a highly motivated individual to coordinate data collection and support research operations under the Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study. The Research Associate will be responsible to, and work closely with, the Principal Investigators and study team members to ensure the successful completion of GUSTO projects on time. The RA’s principal role will be to work in general practices such as data collection, data entry and analysis and drafting of publications and reports.

Main Duties and Responsibilities

The Research Associate will liaise with the relevant personnel to smooth the process of recruitment and data collection and will be accountable to the Principal Investigator(s).

The Research Associate will be expected to:

1. Conduct surveys and interviews with children, adolescents, and parents at KK Children’s and Women’s Hospital
2. Manage the participant reimbursement schedule
3. Maintain data security and confidentiality according to PDPA
4. Draft ethics approval forms in accordance with IRBs
5. Conduct extensive work with data, including organization, cleaning, coding, and analysis
6. Train and supervise undergraduate research assistants
7. Provide timely updates of the study to PI/Project Manager
8. Work flexibly with participants across a range of settings (e.g., hospital, university research lab), and hours (e.g., some weekends and evenings)
9. Additional research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
10. Perform literature review, data analysis and drafting of reports and publications

Qualifications

• Bachelor’s or Master’s degree in Psychology, Social Sciences, or related disciplines
• Strong background in developmental research and experimental design
• Good statistical background (e.g. Microsoft Office, SPSS, R)
• Experiences working with parents and children preferred
• Excellent written and oral communication skills

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

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

Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on trusted collaborative machine learning that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for trusted collaborative machine learning;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators;

Requirements

• A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in federated learning, Bayesian optimization, or privacy/security research in data sharing would be a plus;
• Experienced in using the latest machine learning, AI, and big data platforms;
• Excellent interpersonal communication and oral presentation skills in English

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One postdoc position is available at the Surface and Interface Lab of Prof. CHEN WEI’s group at National University of Singapore. The successful candidate will work with Prof CHEN Wei on Interface Engineering for electrocatalytic CO2RR under a project on CREATE Program: “Development of Advanced Catalysts for Electrochemical Carbon Abatement”.

The project focuses on the interface engineering for electrocatalytic CO2RR. The selected candidate will work together with a team comprising experts in interfacial analysis about electrocatalytic CO2RR reaction mechanism study using home-made interface characterization tools.

Qualifications / Discipline:

• The candidate shall obtain PhD or submit PhD thesis in Chemistry or Materials in a research intensive and renowned University or Research Institute. The candidate shall publish at a few papers on top journals.

Skills:

• Excellent English writing and communication skill,
• Team management skill (help PI to lead a small research team with 1-2 master students),
• Expert in CO2RR-based catalysts synthesis, structural characterizations using TEM/SEM/AFM/XRD/UV-Vis/GC-MS, surface science techniques of XPS/UPS, NAP-XPS, and electrochemical applications (electrocatalytic CO2RR) of these materials.

Experience:

• The candidate shall have extensive experience in CO2RR-based catalysts synthesis, interfacial analysis and electrochemical applications (electrocatalytic CO2RR) of these materials.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to support pioneering research in molecular microbial ecology and infectious disease evolution under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). This position will focus on the ecology, evolution, and genomics of enteric bacterial pathogens, with an emphasis on understanding pathogen life cycles, adaptation, and survival in human and environmental reservoirs. The successful candidate will contribute to advancing culturomics approaches to the study of microbiomes and support the discovery of new bacterial species related to key pathogens such as Vibrio cholerae. This role will suit an individual passionate about microbiology, pathogen ecology, and experimental evolution.

• Conduct laboratory-based research on the microbial ecology and evolution of enteric pathogens, with a focus on pathogen life cycles, antimicrobial resistance acquisition, and virulence factors.
• Assist in the isolation, characterization, and genomic analysis of bacterial species associated with the “cholerae clade” and other enteric pathogens.
• Support culturomics studies to examine microbial transmission dynamics between human and environmental systems.
• Collaborate with team members on experiments that investigate pathogen evolution over human timescales, particularly in response to environmental pressures and host interactions.
• Maintain detailed and accurate records of experiments, data collection, and data analysis using relevant software.
• Prepare research findings for publications, reports, and presentations, contributing to collaborative international projects.
• Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks

Qualifications

• At least Bachelor’s degree in Microbiology, Molecular Biology, Epidemiology, or a related field.
• Prior experience in laboratory research, microbial ecology, or molecular genetics preferred.
• Proficiency in molecular techniques such as PCR, DNA extraction, sequencing, and bioinformatics software for genomic analysis.
• Strong data analysis skills and familiarity with microbial ecology or evolutionary biology concepts.
• Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
• Highly organized, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to support pioneering research in molecular microbial ecology and infectious disease evolution under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). This position will focus on the ecology, evolution, and genomics of enteric bacterial pathogens, with an emphasis on understanding pathogen life cycles, adaptation, and survival in human and environmental reservoirs. The successful candidate will contribute to advancing culturomics approaches to the study of microbiomes and support the discovery of new bacterial species related to key pathogens such as Vibrio cholerae. This role will suit an individual passionate about microbiology, pathogen ecology, and experimental evolution.

• Conduct laboratory-based research on the microbial ecology and evolution of enteric pathogens, with a focus on pathogen life cycles, antimicrobial resistance acquisition, and virulence factors.
• Assist in the isolation, characterization, and genomic analysis of bacterial species associated with the “cholerae clade” and other enteric pathogens.
• Support culturomics studies to examine microbial transmission dynamics between human and environmental systems.
• Collaborate with team members on experiments that investigate pathogen evolution over human timescales, particularly in response to environmental pressures and host interactions.
• Maintain detailed and accurate records of experiments, data collection, and data analysis using relevant software.
• Prepare research findings for publications, reports, and presentations, contributing to collaborative international projects.
• Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks

Qualifications

• At least Bachelor’s degree in Microbiology, Molecular Biology, Epidemiology, or a related field.
• Prior experience in laboratory research, microbial ecology, or molecular genetics preferred.
• Proficiency in molecular techniques such as PCR, DNA extraction, sequencing, and bioinformatics software for genomic analysis.
• Strong data analysis skills and familiarity with microbial ecology or evolutionary biology concepts.
• Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
• Highly organized, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for research fellow in the Department of Biochemistry, Yong Loo Lin School of Medicine. Yu lab has been established since 2021 and the major mission is to develop new therapeutic strategies for atherosclerotic coronary artery disease and metabolic diseases. We use cutting-edge technologies including functional genomics, CRISPR/Cas9-based functional screening, and multi-omics to discover novel therapeutic targets and disease regulating pathways. Appointments will be made on a one-year contract in the first instance, with the possibility of extension – amend as appropriate.

Purpose of the post

We are looking for candidates with extensive experience in cell biology, molecular biology, and mouse models. Preference will be given to candidate with prior in vivo mouse experience or prior experience with metabolism or cardiovascular research.

Qualifications

1. A PhD or equivalent in molecular biology, biochemistry, cell biology, or related field.
2. Extensive experience in molecular biology and mouse work as demonstrated by a first author publication in a relevant scientific journal.
3. Willingness to work with mice.
4. Excellent communication and teamwork skills.
5. The ability to work independently to design and troubleshoot experiments.
6. Positive attitude and strong motivation.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yu Haojie at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to perform modelling and real-time simulation of electric vessel’s onboard microgrid and propulsion system.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to develop onboard microgrid simulation models with energy management systems as well as to plan and test the relevant hardware systems.
• Work with research team to deliver the work scope and undertake these responsibilities in the project.
  Work Responsibilities:
  1. Develop detailed electrical models of the microgrid (power system) of various e-vessels based on the concept design in a simulation environment such as Matlab/Simulink.
  2. Design and develop an intelligent energy management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and operation constraints.
  3. Operate the simulated electrical model with EMS controller to perform simulations for various cases to demonstrate performance and recommend improvements at unit, sub-system and whole system level.
  4. Implement and carry out simulation studies for onboard microgrid and connection to shore charging infrastructure.
• Recommend efficient and reliable power system architecture(s) with other merits of high-density and light-weight.
• Test the relevant power electronics and drives system hardware and troubleshoot the challenging problems.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment and assist in laboratory management.
• Mentor students involved in the research project
• For those hired at senior levels, management responsibilities may be included

Job Requirements

• Have a Master’s or PhD’s degree in Electrical Engineering or equivalent from a recognized University. Major in Power Engineering will be advantageous.
• Minimum 3 years of relevant experience in modelling and energy management algorithm development using MATLAB/Simulink for microgrid applications.
• Knowledge of power electronics, drives, and control is highly preferred. Hardware testing experience will be advantageous.
• Have experience and commitment to participate in project meetings.
• Self-motivated team player and good project management skills.
• Excellent writing, communication, presentation, and interpersonal skills.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

Our client is actively searching for a Director or Deputy Director, VP Research to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

The Research Office is responsible for driving and defining the University's research strategy; liaising with and implementing ministry’s guidelines relevant to research; liaising with administrative units to develop, coordinate, and execute research policies; and ensuring resources are available to deliver University’s research plans.

As a Director/ Deputy Director, this role will work with senior research leadership and involve in providing strategic leadership and operational support in all research matters in the Research Office.. He/she will be responsible for formulation, implementation and regular review of research policies and procedures. This also includes assessment of the University’s overall performance in research initiatives/progammes to provide assurance that it is implemented within University and funding guidelines.

The responsibilities of this role are:

• Provide strategic and operational leadership of the Research Office and drive change management;
• Develop, review and implement policies frameworks, and guidelines that guide research activity across the University. Work synergistically with stakeholders to coordinate the formulation and development of policy and procedural papers in relation to the implementation of new initiatives and/or revision of existing policies/guidelines;
• Standardise research related policies across the University, ensuring governance and proper implementation in all schools, colleges and pan-university research centres;
• Collaborate with the various stakeholders such as Research Support Office, Research Integrity & Ethics Office, Talent Recruitment and Career Support Office to review processes/initiate new programs to drive RIE and university objectives which includes to lead, integrate and synergise various administrative, operational and system upgrade matters across different stakeholders;
• Engage with various stakeholders including senior research leadership of the school and corporate labs, Human Resources, Finance, Procurement, IT, etc., to align, bridge and improve processes;
• Oversee the Committee on Space Planning and Allocation and ensure that University space are effectively and efficiently utilised and in consistent with prevailing laws and university policy;
• Develop Standard Operating Procedures that are in alignment with the University’s policies and procedures and ensure sound corporate governance and compliance;
• Proactively develop, review and drive improvements in the research’s structure/system/process and work to enhance organisation’s effectiveness;
• Leverage on analytics to assess the effectiveness of research strategies and initiatives, enabling continuous improvement;
• Evaluate historical data on research outcomes and funding effectiveness to optimize resource allocation;
• Implement data-driven reporting systems to streamline compliance monitoring and reporting;
• Develop and manage annual budgets for the organization and performs periodic cost and productivity analyses.

The ideal candidate will need to have the following qualities and experience:

• A minimum of a Master's degree, preferably PhD degree with R&D background;
• Proven experience in a similar capacity with demonstrated competency in leadership, strategic planning, decision-making and stakeholder relationship;
• Prior work experience in institutes of higher learning or in managing research sponsored programs will be advantageous;
• Proficient in statistical methods and techniques for analyzing data;
• Proficient in data visualization tools such as Power BI and ability to create clear, compelling visualization to communicate insights;
• Requires comprehensive understanding of the education landscape;
• Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies in a diverse community;
• Ability to supervise and train employees, to include organizing, prioritizing, and scheduling work assignments;
• Ability to foster a cooperative work environment;
• Employee development and performance management skills.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

CTES Consulting PTE LTD

EA License No.: 07C3481

EA Personnel Registration No.: R1104237 (Jaclyn Tan)

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the team

Machine Learning systems team provides E2E machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM. The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Research and develop our machine learning systems, including heterogeneous computing architecture, management, scheduling, and monitoring;

- Manage cross-layer optimisation of system and AI algorithms and hardware for machine learning (GPU, ASIC);

- Implement both general purpose training framework features and model specific optimisations (e.g. LLM, diffusions);

- Improve efficiency and stability for extremely large scale distributed training jobs;

Qualifications

Minimum Qualifications:

1. Currently pursuing a PhD in Computer Science, engineering quantitative field with a background in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies

2. Familiar with machine learning algorithms and platforms;

3. Have basic understanding of how GPU and/or ASIC works;

4. Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications

1. GPU based high performance computing, RDMA high performance network (NCCL, ibverbs); Tensorflow, Jax, PyTorch or other deep learning frameworks;

2. Large scale data processing and parallel computing;

3. Experiences in designing and operating large scale systems in cloud computing or machine learning;

4. Experiences in in-depth CUDA programming and performance tuning

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [email protected].