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

A Research Assistant position is available to investigate the role of epigenetic modifiers in rhabdomyosarcoma.

Qualifications

Self-motivated candidates with a recent Bachelor’s degree and experience in molecular biology and/or familiarity with bioinformatics are encouraged to apply.

Interested candidates should send their CV and names of three referees.

For more information, please visit our website:

https://medicine.nus.edu.sg/phys/lab/Tanejas_Lab/index.html

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 seeking a highly motivated and detail-oriented Research Assistant to join our team at the forefront of iPSC biobanking. The successful candidate will play a pivotal role in the collection, characterization, and maintenance of induced pluripotent stem cell lines, contributing directly to cutting-edge research initiatives in regenerative medicine, disease modeling, and drug discovery.

Responsibilities

1. iPSC Reprogramming

• Execute established protocols for the reprogramming of iPSC lines.
• Collaborate with researchers to further optimize workflow for reprogramming.
• Explore alternative workflows for reprogramming.

2. iPSC Culture and Maintenance:

• Execute established protocols for the culture and expansion of iPSC lines.
• Monitor cell growth, viability, and quality control parameters.
• Perform routine passaging and cryopreservation of iPSCs.
• Maintain accurate records of cell culture activities.

3. iPSC Characterization:

• Conduct immunocytochemistry, flow cytometry, and molecular biology techniques to assess pluripotency and differentiation potential of iPSC lines.
• Perform karyotyping and other cytogenetic analyses to ensure genomic stability.
• Collaborate with researchers to design and implement experiments for iPSC characterization.

Responsibilities

4. Biobanking Operations:

• Coordinate sample collection, processing, and storage according to standardized protocols.
• Label, track, and catalog iPSC samples in the biobank database.
• Implement quality control measures to ensure sample integrity and compliance with regulatory requirements.
• Assist in the development and optimization of biobanking workflows.

5. Data Management and Analysis:

• Compile and organize experimental data, including cell culture records, characterization results, and biobank inventory information.
• Analyze data using statistical methods and assist in the preparation of research reports and presentations.
• Contribute to the maintenance and updating of laboratory databases and electronic notebooks.

Responsibilities

6. Laboratory Support:

• Maintain cleanliness and orderliness of the laboratory.
• Assist in the procurement and organization of laboratory supplies and reagents.
• Support other members of the research team in experimental procedures and technical troubleshooting.

Qualifications

• Bachelor's in Biology, Biochemistry, Molecular Biology, or a related field.
• Hands-on experience in cell culture techniques, preferably with human pluripotent stem cells.
• Familiarity with basic molecular biology and cell biology techniques (e.g., PCR, Western blotting, immunocytochemistry).
• Strong organizational skills and attention to detail.
• Ability to work independently as well as part of a collaborative research team.
• Prior experience in biobanking or sample management is advantageous.
• Knowledge of relevant safety protocols and regulatory guidelines in cell culture and biobanking is desirable.

This position offers an exciting opportunity to contribute to groundbreaking research in iPSC biology and biobanking, with potential for career development and growth within our dynamic research environment.

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.

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

About us:

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

Job description:

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

Requirements:

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

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About us:

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

Job description:

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

Requirements:

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

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time Senior Research Fellow for the Health Systems and Behavioural Sciences domain.

Duties and responsibilities

- Establishing an independent research programme in the area of health promotion and implementation science to address health related behaviours and mental health;
- Undertaking literature reviews, leading on analysing data, writing reports, presentations, and publication of results and findings in peer-reviewed journal
- Collaborating and coordinating with multi-disciplinary team of experts and researchers in other national and international institutions
- Responsible for adapting, maintaining, evaluating and reporting the results of your work to a range of stakeholders
- Course design and teaching
- Supervision of junior team members and graduate student

Qualifications
- A recognized Doctoral degree in a relevant discipline with a strong post-doctoral research record;
- Track record of publishing in international peer-reviewed journals;
- Ability to generate and maintain an independent stream of funding;
- Ability to teach public health courses at both undergraduate and graduate levels;
- Ability to work in multidisciplinary teams;
- Ability to work with culturally diverse populations.
- Excellent written and oral presentation skills

The grade of appointment will be based on candidate’s academic qualifications and years of relevant experience.

Recruitment is open immediately, and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application.

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

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in advancing sketch prototype concept creation using Large Multimodal Models (LMMs). This role involves contributing to a groundbreaking project aimed at developing and studying novel means of interaction with state of the art LMMs that the research team will develop.

Key Responsibilities:

• Develop, refine, and deploy our sketching application
• Collect and analyse data from the prototype
• Collaborate with a multidisciplinary team to integrate LMMs into the sketching application.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the design and development of interaction techniques for novel human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in rapid prototyping and human-AI interaction, particularly in LMMs.
• Experience in research methods, statistical analysis, AI and LMMs.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in mental health using AI technologies. This role involves contributing to a groundbreaking project aimed at developing AI-driven tools for mental health support, with a focus on detecting and treating mental health disorders and distress through digital platforms.

Key Responsibilities:

• Assist in the development and refinement of algorithms designed to detect social communication patterns and signs of mental distress.
• Participate in the design and testing of AI models, including data collection, preprocessing, and analysis.
• Collaborate with a multidisciplinary team to integrate AI tools into social media and messaging apps to offer real-time mental health support.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the development of empathetic conversational support systems facilitated by human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in mental health research and AI technologies.
• Experience in research methods and statistical analysis, preferably with exposure to machine learning or natural language processing.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.
• Prior experience in handling sensitive data and ethical considerations in mental health research is advantageous.

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.

About Asian Institute of Digital Finance

The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.

Duties and Responsibilities

The successful candidate will play a critical role in supporting AIDF’s research efforts by maintaining AIDF’s IT infrastructure and enhancing the Institute’s IT capabilities. This job role will include:

• Optimisation and maintenance of AIDF’s servers, hardware, websites and database subscriptions to meet our core objectives
• Provide IT infrastructure and software systems assistance for AIDF colleagues and research partners
• IT support for research and office administration
• Event support: Help with IT set-up and other tasks as required

Qualifications

• Bachelor Degree in Networks and Telecommunication or related fields
• Knowledge of Basic Server Management a plus
• 2 years of minimum experience

The SingHealth Duke-NUS Global Health Institute (SDGHI) is an enabling platform for global health activities across the SingHealth Duke-NUS Academic Medical Centre (AMC). The Institute aims to address current and emerging health challenges across ASEAN member states and in other Asian countries. Working in collaboration with partners, SDGHI seeks to tackle prevalent health challenges, strengthen health systems and better insulate countries from pandemics and disease threats.

We are recruiting a Research Assistant to support the Regional Collaborating Centre team that is responsible for setting up hubs in the region that aim to consolidate, coordinate and catalyse global health projects.

The selected candidate will be expected to work collaboratively across functional departments at Duke-NUS Medical School and SingHealth, and with key internal and external stakeholders. The incumbent should ideally be comfortable working in a matrixed team and be ready to work in a fast-moving, fast-changing and dynamic environment.

The responsibilities of the role are to: -

• Provide support to the grant management process, monitoring progress of research projects and grant utilisation
• Provide regular progress reporting of potential, new and ongoing global health projects.
• Contribute to project management, presentations and publications of global health research work
• Assist with literature review in various global health research projects
• Assist with managing and facilitating receipt of grants and donations and track their utilisation.
• Facilitate and coordinate meetings between Principal Investigators within the AMC and partnering institutions in the region.
• Support the organisation of visits by and to partnering institutions with SingHealth’s International Collaboration Office.

Job Requirements:

• Bachelor’s Degree in Health Sciences, Social Sciences or other related disciplines with an aptitude for research
• Minimum 2 years of relevant work experience. Entry level candidates may also be considered
• Knowledge in health sciences will be beneficial.
• Prior experience working with institutions in low and middle income countries, preferably in Asia, would be advantageous.
• Demonstrated ability to interact and work with stakeholders and team members across various functions and levels in the organisation.
• Highly motivated individual and able to work independently in a fast-paced multidisciplinary setting with strong organisational and management skills.
• A good command of written English is required for this role.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst. Prof. Yang Liu on conducting research under a project on “In-Context Learning for Scientific Problems”.

The main responsibilities of the position include:

1. Develop AI algorithms for the research project
2. Implement the algorithms with Python
3. Train AI models and conduct numerical experiments
4. Write papers

Qualifications / Discipline:

- Bachelor’s degree in Mechanics, Computer Science, Mathematics, or other related disciplines

Skills:

- Programming with Python and PyTorch, LaTeX

Experience:

- Experience in conducting research on computational methods will be preferred.

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 Assistant for “Identifying Transcriptomic and Epigenomic Impacts of Type-2 Diabetes on Aortic Arteries with Single-Cell Resolution” in the Department of Biomedical Informatics, Yong Loo Lin School of Medicine. The Genomic Data Science Lab combines QTL, single-cell, and spatial transcriptomic approaches to unravel the molecular mechanisms of polygenic diseases. More information on the lab is available at www.boxiangliulab.com. Appointments will be made on a two-year contract basis, with the possibility of extension based on project needs and satisfactory performance.

Purpose of the post

The successful candidate will work with Dr. Boxiang Liu on the development of novel computational models and the analysis of single-cell and spatial transcriptomics data.

The Research Assistant will be responsible for bioinformatics data analysis and report directly to the Principal Investigator (PI). The RA will be able to:

• Perform single-cell and single-nucleus RNA-seq analysis;
• Conduct spatial transcriptomic data analysis;
• Design novel statistical methods for single-cell and spatial transcriptomic data;
• Maintain high standards of professional conduct and data management;
• Assist with other tasks as delegated by the PI.

Qualifications

1. Qualifications / Discipline: Master or bachelor degree in a relevant discipline (including computer science, statistics, genomics, bioinformatics, biology, drug design, etc)
2. Skills: Computer Science / Statistics / Genomics / Bioinformatics
3. Experience: Statistical modelling, single-cell, QTL, and other genomic data analysis

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr. Liu 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.

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 National University of Singapore invites applications for 5 Research Fellow positions in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. Appointments will be made on a 2 years contract basis.

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

Purpose of the post

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

The Research Fellow will be able to:

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

Qualifications

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

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

Only shortlisted candidates will be notified.

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Job duties and responsibilities :

• Oversee and manage all Singapore Chinese Health Study genetic data hosted on GIS RAPTOR platform.
• Coordinate data extractions and data transfer for the Singapore Chinese Health Study.
• Manage design, develop, verification and validation activities for appropriate genetic data storage and analysis.
• Execute large-scale genetic evaluations for ageing biomarkers and age-related traits and outcomes with the Singapore Chinese Health Study dataset.
• Coordinate data harmonization with key collaborators to enable larger scale data analysis.
• Maintain proper logs and filing for all project documents and records.

Job requirements :

• Proficiency in large-scale genomics evaluations.
• Proficiency in cloud computing, unix based computational platforms.
• Excellent communication and collaborative skills and ability to work as part of a larger team.
• Meticulous in delivering and documenting tasks with appropriate computational tools.
• Well acquainted with basic molecular biology techniques including qPCR and NGS
• PhD in genomics, computational biology or related fields.

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 National University of Singapore invites applications for Research Assistant in the Centre for Behavioural and Implementation Science Interventions (BISI), Yong Loo Lin School of Medicine. The centre aims to improve population health and well-being and healthcare delivery by accelerating evidence-based practice through the use of behavioural and implementation science. More information on the centre is available at https://medicine.nus.edu.sg/bisi/ . Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The incumbent will work closely with the principal investigator (PI) to support research in BISI and contribute to the centre’s research and education strategies. He/she would be the point of contact between staff, external parties (i.e. stakeholders, collaborators) and the PI. He/she will work with a team of researchers and admin staff on a regular basis to assist with research projects.

Main Duties and Responsibilities

This is a regular full-time position of which the contract is renewable, subject to performance.

The key job responsibilities are as follow:

1. Assist with research administration to ensure that research and related activities are performed in accordance with institutional regulations and sponsoring agency policies and procedures, including preparation of ethics and other regulatory/institutional documents and maintenance of PI file as required.
2. Assist with research activities led/appointed by the PI such as study management, monitoring and tracking study budget and timelines, answering questions related to the study and working with other researchers/PIs.
3. Provide administrative support to the PI.
4. Procure or acquire materials needed for research and liaise with vendors.
5. Assist with data collection or analysis as required in BISI research projects.
6. Perform other related duties incidental to the work or as assigned by the leadership.

Qualifications

The applicant should:

• A good degree in any relevant discipline
• Relevant experience within an academic or healthcare setting is advantageous.
• Working knowledge in research ethics and HBRA is advantageous.
• Experience with research project management
• Excellent command of spoken and written English.
• Strong interpersonal and communication skills and an ability to operate effectively within a diverse group of internal and external stakeholders.
• Technologically savvy and proficient in Microsoft applications like Word, TEAMS, Excel and Power-point

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Huang Weilin 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.

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 Research Associate will oversee the planning, implementation, and tracking of multiple research projects within the Centre for Innovation and Precision Eye Health. This role requires a strong understanding of research methodologies, exceptional organizational skills, and the ability to manage multiple stakeholders. The candidate will be responsible for ensuring that research projects are completed on time, within scope, and in line with the association’s strategic goals.

Main duties and responsibilities

• Planning & Coordination:

Coordinate and manage the day-to-day operations of research projects and the centre, ensuring adherence to protocols and deadlines.

Collaborate with internal and external stakeholders, including researchers, academic institutions, funding bodies, and partners.

Develop detailed project plans, including timelines, resource allocation, milestones, and deliverables.

Plan and coordinate academic meetings and events

• Project Execution & Management:

Oversee the execution of multiple concurrent research projects, ensuring that objectives are met within budget.

Monitor project progress and address potential risks or bottlenecks proactively.

Ensure proper documentation of all project activities, results, and changes to project scope

Assist Centre’s Director in scheduling meetings and grant management

Main duties and responsbilities

• Team Leadership & Communication:

Lead cross-functional project teams and provide clear direction on project goals and responsibilities.

Foster collaboration and communication between researchers, data analysts, and support staff.

Prepare and present regular progress reports, updates, and findings to senior management and stakeholders.

• Budgeting & Financial Management:

Manage project budgets, ensuring efficient use of resources and adherence to financial protocols.

Monitor project expenditures, approve invoices, and ensure timely financial reporting.

• Grant Writing & Reporting:

Assist with the preparation and submission of grant applications and proposals.

Track and report on grant deliverables and outcomes as required by funders and sponsors.

Qualifications

• Master’s or PhD degree in a relevant field (e.g., Public Health, Data Science, or related disciplines).
• Minimum of 3-5 years of project management experience in a research or academic setting.
• Demonstrated experience in managing complex, multi-disciplinary research projects.
• Experience with grant writing and managing grant-funded projects is highly desirable.
• Proficiency in research methodologies, data management, and statistical analysis.
• Budget management experience and financial acumen.
• Ability to work independently, as well as part of a team, and manage multiple stakeholders.
• Familiarity with research ethics, compliance standards, and IRB processes.
• Experience in ophthalmology, data science or AI research, etc.
• Experience with data management software and platforms (e.g., REDCap, SPSS, R).

As part of IME Integrated Circuit Design and System Department, we are looking for a candidate with relevant experience in ultrasound imaging system design. This candidate will define an ultrasound transducer array beamformer IC architecture for imaging applications. The candidate will work closely with MEMS team on system architecture, circuit design, simulation, validation, and integration.

Role & Responsibilities

• Perform system-level beamformer architecture, design, and simulation, to derive circuit-level design specifications.
• Beamforming array optimization using AI algorithms.
• Design and implementation of beamformer algorithm in hardware.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Good understanding of ultrasound imaging systems and beamforming theories.
• Knowledge of AI algorithms and implementation will be a plus
• Familiar with 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

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 have the opportunity to develop unconventional ultrasound transducer drivers, receiver circuits for IoT and biomedical applications as well as cutting-edge high-speed analog circuits for advanced optical communication.

Role & Responsibilities

• Design and tapeout circuit blocks e.g. high linearity low-noise amplifier, variable gain amplifier, envelop detector, and high voltage driver for MEMS ultrasound transducers.
• Work together with team on system integration and demonstration.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Minimum 2 years of transistor-level analog circuit design experience
• Good understanding of CMOS analog IC design methodologies and successful tapeout experience
• Familiar with analog IC design and verification flow
• Design experience with high voltage BCD process 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

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Duties and Responsibilities - Process Integration

• Plan the integration flow with device designers
• Draft the runsheet by translating the flow into process steps and capturing necessary shortloops
• Perform the DoE with process module teams
• Track the lot and report the progress
• Identify failure modes/root causes and address the problems by proposing changes
• Must be good at documentation and written communication

Job Requirements

• Bachelor's degree in Microelectronics, Electrical, Mechanical, or Chemical Engineering.
• A basic understanding of the semiconductor processes is preferred.
• 3-5 years of hands-on experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will add advantages.
• Must be a team worker with the project stakeholders (device design, process module, and equipment/facility).

Principal Scientist for Advanced Photonics and Flat Optics Process Integration

The candidate will take the lead for the development of advanced photonics and flat optics integration. This could include but not limited as photonic integration, photonic heterogeneous integration, multi-layered flat optics integration, electro-photonics integration, etc., with various materials. The candidate will work closely with an excellent multidisciplinary and high-industry driven team involving photonics, semiconductor process, and fab operation.

Responsibilities:

• Development of various photonics integration process with 8-inch and 12-inch fabrication facilities, including such as photonics heterogenous integration and flat optics integration.
• Design of Experiments (DOE) for both design and process margin checking and process control.
• Baseline integration process development and standardization for both photonics heterogenous integration and flat optics integration.
• Lead the inline defect analysis and process DOE towards yield improvement.
• Lead the inline process metrology data taking and analysis, device / circuit performance data taking.
• Data analysis and documentation.
• Preparation of technical presentations and papers for internal meetings, as well as conferences and journals.
• Collaborate with project team to ensure quality and on-time delivery for various projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent.
• Strong hands-on experience in CMOS or Photonics integration.
• Minimum 10 years working experience on commercial foundries or equivalent.
• Minimum 10 years project and team management skill.
• Strong communication, industry awareness, and problem-solving skills.
• Strong self-motivation and interest in the next-generation advanced photonics technology and product development.

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.

ASIA RESEARCH INSTITUTE

The Asia Research Institute (ARI), National University of Singapore (NUS), invites applications for one full-time Research Fellow to work on a major research project funded by the Social Sciences Research Council (SSRC) Singapore, under its Thematic Grant programme, entitled Climate Governance of Nature-based Carbon Sinks in Southeast Asia. The position is available on a full-time basis for two years.

RESEARCH PROJECT (CLIMATE GOVERNANCE)

This project places social sciences scholarship at the core of climate governance strategies involving Nature-based Carbon Sinks (NCS), defined as ecosystems that absorb and store more carbon than they release. The geographical focus of the project is on Southeast Asia, a region rich in carbon sequestration potential where the socio-spatial relations, economic realities and land use regimes that underpin the medium to long-term effectiveness of NCS in mitigating climate change remain critically understudied. The project aims to strengthen linkages between the natural and social sciences by assessing the optimal arrangements for governing NCS at and across a range of spatial and administrative scales. With its focus on the governance of different types of NCS found in terrestrial and mangrove forests, peatlands and agricultural soils, the project will locate technologies of NCS governance within the socio-spatial contexts, power asymmetries and institutional cultures that shape their success or failure. In these ways, this policy relevant research will contribute to ongoing efforts by Singapore and other ASEAN countries to adapt and build resilience to climate change challenges by developing low-carbon initiatives with social, economic and environmental co-benefits.

The successful candidate recruited as a Research fellow will join a large interdisciplinary research team that includes a Senior Research Fellow, two other Research Fellows, a Research Associate and three PhD students funded through the same project. In addition to activities associated with ARI, the successful applicant may wish to participate in research group meetings and departmental seminars in the Department of Geography and the Centre for Nature-Based Climate Solutions (CNCS) at NUS.

ROLES AND RESPONSIBILITIES

The focus of this Research Fellowship is on the climate governance of:

(1) peatlands;

(2) areas of adjacency between peatlands and mangrove forests; and

(3) non-peat (mineral) urban soils.

The research component on low-carbon governance in peatlands connects to Singapore’s national interest of promoting sustainable peatland development in neighbouring countries to limit biomass burning that contributes substantially to transboundary haze pollution and GHG emissions. The component on peatland-mangrove connectivity engages with holistic approaches to wetland governance in Southeast Asia that could help to safeguard their sink functions, among other vital ecosystem services. The non-peat, urban soil component involves citizen Science with a Singaporean non-for-profit organisation invested in urban composting and food security.

JOB REQUIREMENTS

The appointed RF will hold a PhD (or be waiting conferment) in a relevant area of the social or natural sciences. The successful RF will undertake research on governing carbon stocks in wetlands and/ or agricultural soils, and will ideally have relevant experience of research in this field. The RF will preferably have experience of carrying out research in Asia, although this is not essential. In addition, s/he will have a record of publication in widely-regarded outlets and be expected to publish project-focused articles in international journals with high impact. The successful applicant will write one agenda-setting paper on integrated wetlands/landscapes, lead individual and collaborative research, organise one themed conference panel, and present research findings at international conferences. S/he will provide mentorship and contribute to the development of PhD students funded through the project.

TERMS AND CONDITIONS

1. Two-year contract commencing immediately for suitable applicant.
2. A competitive salary and excellent working environment.
3. All salary and benefits-in-kind are subject to taxation in accordance with Singaporean tax laws.
4. Other benefits that NUS provides and information about living and working in Singapore are available at Potential Hires

*Terms and conditions, according to university guidelines, are subject to change without prior notice.

APPLICATION PROCEDURE

To apply for this position, please combine the following documents in 1 PDF :

• Letter of application
• Full Curriculum vitae, including the names of three referees who would be prepared to provide confidential references, one of whom should ideally be the PhD main or co-advisor.
• Academic certificates and transcripts.
• A write-up, of no more than 800 words, explaining the candidate’s past research experience and aptitude in relation to the research project.

For further enquiries about the position, please contact Dr. Michelle Miller: [email protected]