Role Description:

• Responsible for semiconductor fab automation with Autonomous Mobile Robot (AMR) & SECS/GEM
• MES knwolegeable and work with vendors to evaluate and enable communication between MES, Tool and AMR.
• Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system
• Maintenance of AMR and existing system performing periodic data integrity checks, create automated failure alerts, perform timely fixes when necessary and continuously improve the automation frameworks with new innovative features\
• Create Web UI for admin/user required view & operation. Create automated periodic insights/analytics/reports/visualisation/alerts operations required for timely decision-making processes.

Job Requirements

• Degree in Computer Science, Engineering or relevant field
• Ability to work independently and team player to deliver result in fast paced and collaborative environment
• Preferable with 1-3 experience in various semiconductor process module/knowledge, equipment engineering or digital transformation, specifically in SECS/GEM Automation.
• Knowledge in communication systems and network protocols used between tool and factory automation (SECS/GEM knowledge & semiconductor/manufacturing environment)
• Knowledge in variety of operating system (OS) used for automation (e.g SECS/GEM, php, js, sql). Other technical skills such as AMHS, vb, xml will be a plus/
• Preferable to have experience in data mining, database engineering, software 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.

Job Description

The successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

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 (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber 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.

Job Description

1. Perform research in the following areas:

a. Global performance analysis, and/or

b. Global structural response analysis

2. Assist in conducting physical model tests, field experiments and numerical simulations to support the development of integrated physical-numerical modelling and simulations.

3. Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

4. Any other duties as assigned by supervisor.

Job Requirements

· Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Naval Architecture, Applied Mathematics or other related disciplines.

· Preferably having relevant research/industry experience with competent knowledge in some of the following areas: Offshore engineering, marine engineering, hydrodynamics, naval architecture and ocean engineering.

· At least 5 years of experience

· Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Finite Element analysis tools such as SESAM, ABAQUS, Ansys

o Programming codes such as FORTRAN, Python, MATLAB, C++ or equivalent.

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Good command of written and spoken language.

· Resourceful and self-driven with a high degree of professional integrity.

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

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Brandon I Morinaka on production and biological evaluation of peptide natural products under a project on Genome mining and biosynthesis of peptide natural products.

The main responsibilities of the position include:
• Support safe operations and maintenance of equipment in the lab.
• Facilitate working with undergrad students when necessary.
• Assist with procurement and ordering of chemicals and consumables.
• Carry out research for new peptide natural products discovery and development including recombinant protein expression, and production and extraction of natural products.

Qualifications

• Qualifications / Discipline:
B.S. in Pharmaceutical Science, Chemistry, Biochemistry, or related discipline.

• Skills:
Biochemical techniques (protein expression and purification, SDS-PAGE, size exclusion and affinity chromatography) and/or Analytical chemistry (NMR, MS, HPLC). Good written and oral communication skills. Able to work effectively in a team.

• Experience:
Previous research experience in a chemistry, biochemistry, or biology lab.

The Centre for Ageing Research and Education (CARE) is an academic research centre in Duke-NUS Medical School. Drawing on its multidisciplinary expertise and collaborations across medical, social, psychological, economic, and environmental perspectives, CARE’s research is situated in eight broad thematic areas: Population Health, Family Caregiving, Community-Based Health and Social Care Services, Productive Ageing, Falls, Ageing and the Environment, Health Communication, and Social and Psychological Aspects of Ageing.

CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults in Singapore. At Duke-NUS, CARE works closely with the Health Services and Systems Research (HSSR) Signature Research Programme, a centre of academic excellence for research and education on the organisation, funding and delivery of health services, and a focus is on public health and clinical service innovation in an increasingly complex and connected world.

We are seeking a full-time Research Assistant to join the team. The selected candidate will work across research projects, with the primary responsibilities including but not limited to the following:

• Perform data management including data cleaning, quality and consistency checks,and preparation of codebooks.
• Workwith other researchers on interpreting and analysing quantitative data.
• Contribute to preparation of reports, policy and research briefs, presentations, and research papers.
• Conduct follow-up assessments of study participants over the phone.
• Support other project management tasks.
• Assist with other initiatives at CARE where required.

Job Requirements

• Bachelor’s Degree in Sociology, Epidemiology, Gerontology, Public Health, Psychology,Social Work, or other related disciplines.
• Prior work experience in quantitative data analysis will be advantageous.
• Possess strong communication and interpersonal skills.
• Able to take initiatives to learn on the job and manage assigned tasks.
• Motivated and detail-oriented with the ability to work independently as well as with others in a multi-disciplinary setting.
• Candidates with relevant work experience may be considered for a Research Assistant(Senior) position.

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 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 one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Assistant will work closely with the IHDP’s Biobank Team. The RA’s principal role will be to work in general practices of biosample transporting, processing, storage, data entry and other tasks as assigned by Reporting Officer,

Main Duties and Responsibilities

The Research Assistant/Research Associate will:

1. Process a wide range of biosamples that includes but not limited to blood and stool.
2. Provide and maintain accurate laboratory record and data
3. Adhere to all laboratory safety and procedures in accordance with the laboratory SOPs.
4. Maintain the highest standard of professional conduct and record keeping in accordance with SOPs
5. Perform laboratory housekeeping as assigned
6. Must be work at 3 sites as rostered
7. Must be able to work on weekends
8. Perform other duties as assigned by Reporting Officer

Qualifications

The applicant should:

1. have a bachelor’s degree in biomedical science, Life science or related discipline.
2. Must have laboratory experience and competent in pipetting
3. Able to work in a fast-paced environment
4. Able to work independently and in a collaborative manner with interdisciplinary team
5. Effective verbal and written communication skills
6. Strong desire to learn continuously

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

Only shortlisted candidates will be notified.

Interested parties may apply on NUS Career portal and please contact Ms H’ng, [email protected] should there be any queries pertaining to the position.

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

This project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic and blast loadings. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistic and blast tests. He/she will also be required to set up the numerical models in commercial FE software (e.g. LS Dyna), validated against experimental data, to understand the mechanisms in resisting the high impact loadings for the various cementitious materials.

Job Requirements

The research fellow should have a PhD degree in a relevant field, with experience in the following areas:

• 3D concrete printing;
• Laboratory ballistic tests;
• Design of blast tests for concrete specimens;
• FE simulations of blast loading on concrete structures.

-Strong written and spoken communications and able to present results.
-Open to fixed-term contract.

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

An exciting opportunity has arisen for a highly motivated Senior Research Fellow/Research Fellow to join the Centre for Holistic Initiatives (CHILD) for Learning and Development, Yong Loo Lin School of Medicine, National University of Singapore. CHILD brings together experts in the field of translational research, child health and development, and implementation science to accelerate the use of evidence in policy and practice and give every child the best start in life.

The successful candidate will support the Centre by i) conducting research projects aligned to the Centre’s strategy and key priorities, ii) preparing reports, publications and materials for funding bids, iii) providing supervision and mentorship to junior researchers, particularly in the area of mixed methods research, and iv) facilitating workshops and engagement activities.

Job Responsibilities

The successful candidate will:

• Work closely with the team leads, cross-disciplinary research teams and collaborators.
• Design, plan, undertake and deliver research and evaluation projects using both quantitative and qualitative designs.
• Provide expert methodological and statistical advice to Centre staff across Centre projects.
• Provide advanced statistical analyses and data visualizations using R, Python, or STATA for presentation of important findings in policy briefings and peer-reviewed publications
• Lead writing for reports, peer-reviewed publications, and grant proposals
• Contribute and lead, where appropriate, research dissemination activities at internal and external meetings and conferences.
• Provide supervision and mentorship of research students, assistants, and interns
• Work closely with stakeholders from across the early childhood sector.
• Carry out administrative duties as needed
• Any other duties as assigned by the supervisor

Qualifications

A PhD in Psychology/Behavioral Science/Developmental Psychology/Education/Public Health or a related discipline.

Experience: Candidates with experience in the following areas are encouraged to apply:

• Mixed methods applied research
• Multivariate statistical analyses and meta-analysis techniques using R, Python, or STATA
• Behavioural or Social Sciences applied to child health/development
• Implementation Science
• Programme Evaluation
• Education/Health Services or Applied Research

Skills

The candidate should also possess:

• Experience undertaking or leading independent research studies, as appropriate for career stage
• A strong grounding in mixed methods and applied educational, behavioural or health research – broadly defined
• Outstanding data analysis and visualization background
• Ability to search, summarize, and synthesize previous research in areas of interest to CHILD
• Strong project management and coordination skills, with attention to detail and critical thinking abilities
• Track record of publishing in peer-reviewed journals and presentations in international or national scientific conferences, commensurate with career stage
• Excellent command of spoken and written English with excellent communication skills to present findings to English-speaking stakeholders
• A team player with an ability to work independently
• Highly motivated, proactive, and goal-oriented
• Keen interest in the area of early child development and passion for research translation and communication

Application

Please submit your application, supported by:

• a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations)
• a cover letter introducing yourself, career goals and earliest start date as well as your suitability and interest in the position
• a writing sample that reflects your analytic skills and communication abilities.
• full contacts of three (3) referees to this job portal

The appointment title and salary grade commensurate with the candidate qualifications and experience. Interested applicants are invited to submit via the NUS career portal. Applicants can email [email protected] with any questions. Only shortlisted candidates will be contacted.

About CHILD

What Being Successful in the Role Looks Like The successful candidate will work closely, collaboratively, and competently as part of an interdisciplinary team within CHILD. They will have excellent writing, presentation, and project management skills. They can perform data analysis/data visualization, willingly learn from and share knowledge with others. He/she fits into, supports, and builds CHILD’s open and positive work culture.

About CHILD: The Centre for Holistic Initiatives for Learning and Development or CHILD was established under the umbrella of the NUS Yong Loo Lin School of Medicine (NUS Medicine) with the Lien Foundation. In collaboration with partners - the Centre for Evidence and Implementation (CEI) and A*STAR’s Institute for Human Development and Potential (A*STAR IHDP), CHILD brings together experts in the field of translational research, child development, and implementation science to help give children the best start to life.

Job Summary:

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

Job Roles and Responsibilities:

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

Job Requirements:

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

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

Job Description:

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

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

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

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

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

Job Roles and Responsibilities:

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

Job Requirements:

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

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

Job Responsibilities

• Develop and align strategies to economic and national agenda (e.g. DxD Hub 3.0 in RIE2030 strategy), including strengthening linkages with internal and external stakeholders (e.g. MOH, clinical clusters in setting up satellite programmes).
• Translate overarching DxD Hub’s strategies into an action plan, coordinating across public sector and internal stakeholders and entities to achieve Enterprise’s desired outcomes.
• Set, monitor and report performance and tracking indicators for DxD Hub in alignment with National Platforms Co-ordinating Office and A*STAR Innovation and Enterprise (I&E) division and its operating units and in partnership with finance for financial targets.
• Establish and maintain corporate branding and public awareness of DxD Hub.
• Perform Divisional reporting and communications functions with stakeholders within A*STAR, governing and advisory boards, as well as other public agencies in the ecosystem.
• Review internal operational processes for possible improvements, in alignment with Enterprise and A*STAR best practices.
• Build capabilities of service platforms & drive realization of business outcome.
• Hires, motivates, develops, and retains key talent.
• Develop and deliver accurate reports of operational metrics to the CEO. Deliver monthly operation reports.

Requirements:

• Bachelor’s degree, preferably in Science or Engineering.
• More than 6 years of relevant working experience. Experience in strategic and/or corporate planning would be an advantage.
• Possess strong strategic and analytical thinking skills.
• Able to identify and contextualise stakeholder issues and manage them appropriately.
• Good communication (written and verbal) and interpersonal skills. Able to work in a team and guide the team to achieve their tasks. Able to work outside of organizational boundaries to engage external stakeholders as necessary
• Able to deliver results under tight timelines. Pro-active, quality conscious and results oriented.

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

Research Associate - Genomic safe harbour targeted engineering of cells for gene and cell therapy

Location: Cardiovascular-Metabolic Disease TRP, NUS YLL School of Medicine

Description:

We are looking for a Research Associate to drive the wet lab research activities for the duration of the project.

Responsibilities:

• Clone and amplify complex constructs necessary for engineering of mammalian cells
• Maintain cultures of mammalian cells to a high standard and conduct engineering experiments working closely with the project leads
• Compile and organise experimental data, including cell culture records, characterization results, and cell line inventory information
• Conduct daily wet-lab experiments e.g. nucleic acid extraction and quantification
• Assist the team to ensure a safe and efficient working environment
• Ensure project deliverables are met in a timely manner and to the highest standard

Qualifications

• Master’s Degree in Biology, Biochemistry, Molecular Biology, or related discipline.
• Minimum 3 years of working experience in a research laboratory
• Experience with mammalian cell culture and genome engineering
• Extensive knowledge of molecular cloning techniques
• Good organizational skills and ability to multitask
• Able to work independently and as part of a team
• Experience in working with lentiviral vectors is highly desirable
• Good communication (verbal and written)

This position offers an exciting opportunity to contribute to groundbreaking research in genome engineering for gene and cell therapy, with potential for career development and growth within our dynamic research 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

A Research Assistant position is available NUS Yong Loo Lin School of Medicine, National University of Singapore. The job entails work in a laboratory, clinical and involves administrative duties.

Major Duties and Responsibilities:

1. Contribute to DSRB/IRB application process, support ethics and regulatory related administrative work including DSRB/IRB and HSA applications
2. Coordinate training requirements and documentation
3. Ensure study file set up, documentation and maintenance, including investigator files and logs
4. Conduct subject pre-screening, assist with informed consent, adverse event reporting, and follow-up activities with regulatory bodies
5. Coordinate subject visits and manage study execution, including collection of study questionnaires, measurement of physiology parameters, and collection of non-invasive images
6. Maintain study database.
7. Monitor studies ensuring compliance with institutional guidelines, HBRA, and GCP.
8. Assist with study closure including archiving of study records (medical records, study documents, investigator files, subject files etc.), post-study audits/ inspections and monitoring.
9. Participate and present updates in study related meetings.
10. Take minutes of meetings for vetting.
11. Generate study progress reports as required.

Roles and Responsibilities

• Assist with participant recruitment for research studies, including consent taking, filing and ensuring studies are conducted in compliance with necessary regulatory guidelines
• Purchasing products and services where necessary, including preparing recommendation reports, track orders and ensure timely delivery, and keeping records of purchases.
• Assist overall day-to-day administrative activities for Research Programme
• Assist Admin Lead with CVD TRP website maintenance and update.
• Assist to prepare and edit reports, presentations and other documents.
• Assist Admin Lead with secretariat functions to arrange and coordinate Programme’s events or meetings, including creating and distribution of meeting minutes, preparing facilities for scheduled meetings and arranging refreshments, if required.

Qualifications

• Bachelor in a related discipline in the Biomedical/Life Sciences with a minimum 1 year of experience
• GCP-trained and familiar with the regulatory landscape in Singapore
• Some experience working in/with a clinical research or healthcare industry
• Sound written and verbal communications skills
• Possess maturity and good interpersonal skills
• Independent and good team player
• Self-driven, meticulous, and organized and strong organisational skills
• Relevant experience with managing large projects, lead facilitation of group meetings and managing budgets will be an advantage
• Good proficiency in MS Office applications such as PowerPoint, Excel
• Have a strong interest to interact with a wide variety of people

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

Position Overview:

We are seeking a highly motivated Embedded System Engineer to join our team as a Research Engineer. The successful candidate will be responsible for selecting, programming, testing micro-controllers, and building corresponding circuitry and PCB for our cutting-edge research projects. This role offers an exciting opportunity to contribute to groundbreaking research in flexible electronics.

Key Responsibilities:

• Program micro-controller for realizing target functions.
• Design circuitry and PCB for corresponding micro-controller.
• Help with requirement analyse and micro-controller chip selection.
• Document design processes, results, and findings for academic publication.
• Stay updated on emerging trends and technologies in flexible electronics and related fields.

Qualifications

Qualifications:

• Master C/C++, have proficient embedded development and MCU development capabilities, and good programming habits.
• Familiar with communication ports, including UART, SPI, IIC and GPIO.
• Able to read hardware schematics, capable for driver writing and optimization, and familiar with Renesas, Nordic and STM32’s commonly used chips;
• Familiar with BLE working principle and commonly used BLE chips.
• Familiar with micro-controller developing tools (e.g. Keil, IAR)
• Experience with PCB design and proficiency in PCB design tools (e.g. Altium Designer)
• Bachelor's or Master's degree in Electrical and Computer Engineering, Electronics Engineering, Mechatronic Engineering, automation, or related field.
• Solid digital and analogue circuit knowledge foundation.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration abilities.

Preferred Qualifications:

• Expertise in MATLAB or Python for upper computer software development.
• Familiarity with biomedical signal processing or wearable electronics.
• Prior research experience in an academic or industrial setting.
• Additional expertise in wireless electronics design

Benefits:

• Competitive salary based on qualifications and experience.
• Opportunities for professional development and growth.
• Collaborative and innovative work environment.
• Access to state-of-the-art research facilities and resources.
• Potential for authorship on research publications, patents and presentations.

JOB DESCRIPTION

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

JOB REQUIREMENT

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

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

AI Singapore (AISG) seeking a highly organized and detail-oriented individual to join our team as a Research Fellow. The Research Fellow will collaborate with researchers, faculty, and external stakeholders to facilitate the research, evaluation and deployment processes involved in research projects.

Duties & Responsibilities

In this role, you will:

• Participate in the full research projects to deployment pipeline and help conceptualize, develop research or evaluation experiments, and then implement the systems to execute these experiments.
• Conduct data annotation, collection, and analysis for research projects.
• Conduct landscape and literature reviews to understand the potential solutions and the state-of-the-art models.
• Manage research projects with minimal supervision, develop new research methodologies and contribute to innovative approaches, design and execute experiments or studies to advance knowledge in a specific field.
• Work closely with Principal Investigators and researchers for benchmarking various baseline models.
• Contribute to disseminate research outcomes through presentations, demonstrations and top conference papers.

Qualifications

• A PhD degree in Computer Science/Computer Engineering, or related disciplines
• Possess strong background in Computer Vision (CV) and Artificial Intelligence (AI); Research background in Large Multimodal Models (LMMs) / LLM security is a plus
• Excellent knowledge in deep learning frameworks, e.g., PyTorch, Tensorflow
• Strong first-author publication records in top-tier AI conferences; Prior publications in major computer vision (CVPR/ICCV/ECCV) or machine learning (NeurIPS, ICML/ICLR) conferences is a plus
• Good communications skills in both written and verbal English
• An adventurous spirit and willingness to learn and experiment with new ideas and new domains
• Demonstrated ability to work independently as well as collaboratively in a team 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 Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to thermal management of flexible electronics. You will play a key role in designing and fabricating flexible electronic devices, with a specific focus on solving challenges related to overheating and heat dissipation.

Responsibilities:

• Design and fabricate integrated thermal management system for flexible electronics devices, including RF devices.
• Conduct thermal simulations to identify potential thermal issues and optimize the heat dissipation capabilities of the devices.
• Develop and implement innovative thermal management materials, structures, and approaches to address overheating challenges in flexible electronics.
• Explore and evaluate new materials for efficient heat transfer, storage, and dissipation in flexible electronic devices.
• Collaborate with interdisciplinary team members to integrate thermal management solutions into the overall device design and fabrication process.
• Perform experimental characterization of thermal properties and performance of flexible electronic devices using appropriate measurement techniques and equipment, including IR thermal imaging and thermal reflectance system.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

To apply, please submit your application materials, including a cover letter and curriculum vitae.

Review of applications will begin immediately and continue until the position is filled.

Qualifications

Candidate should meet at least 4 criteria from the following list:

• Bachelor’s or Master’s Degree in Electrical Engineering, Chemistry, Materials Science, or a related field with a focus on flexible electronics and thermal management.
• Strong background in thermal management of electronic devices.
• Proficiency in thermal simulation software for analyzing and optimizing thermal performance.
• Knowledge of thermal management techniques and strategies for flexible electronics, including heat dissipation mechanisms and materials.
• Experience in developing and characterizing novel materials for heat transfer, storage, and dissipation in electronic devices.
• Familiarity with experimental techniques for thermal characterization, such as thermal imaging and thermal reflectance.
• Strong problem-solving skills and ability to think critically about thermal management challenges in flexible electronics.
• Excellent written and verbal communication skills, with the ability to present research findings effectively.
• Track record of research publications in reputable scientific journals.

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

STATEMENT OF PURPOSE

The Memory Aging & Cognition Centre (MACC) is a Research Center within the National University Health System funded by the Singapore National Medical Research Council that focuses on the study of dementia and cognitive impairment in the elderly. The MACC currently has 4 research themes on (i) neurochemistry, molecular pathology and biomarker discovery, (ii) neuroimaging, (iii) clinical assessment and (iv) epidemiology.

We are seeking a highly motivated Research Assistant to join our team at the MACC. The successful candidate will play a pivotal role in the daily operations and maintenance of the laboratory, as well as the handling of samples obtained from human or animal studies. The successful candidate will also have opportunities to work on various laboratory testing/techniques and contribute to the team's research effort in neurochemistry and blood biomarkers of Alzheimer's disease and vascular cognitive impairment.

Duties and Responsibilities

1. Handle samples obtained from human (blood, plasma, serum, post-mortem brain tissues) or animal studies, including the proper processing, documentation, tracking, storage and retrieval of samples.
2. Ensure compliance with laboratory safety protocols and regulatory requirements.
3. Manage and coordinate daily operations and maintenance of the laboratory, including administrative duties.
4. Support the PI and Research Fellows in experimental procedures related to neurochemistry and blood-based biomarkers research.
5. Assist the PI and Research Fellows in supervising and training students and junior researchers.

Qualifications

1. Bachelor's degree in Biomedical or Life Sciences.
2. Meticulous, attention to details, able to work independently, strong organization and documentation skills.
3. Previous work experience in the following area(s) is advantageous:

• Handling human and/or animal specimens as well as biobanking
• Neurochemistry laboratories, biomarker-related laboratories, pharmaceutical laboratories and/or research animal laboratorie

4. Knowledge of lab safety regulations/guidelines is desirable.

The candidate should possess the ability to work independently (with training) in a highly collaborative and international research environment, and be able to demonstrate initiative, technical independence and excellent communication skills. The successful candidate will be expected to be self-motivated in neurochemistry and biomarker research projects within the MACC under the supervision of the MACC Director, PIs and Research Fellows, as well as collaborators in NUHS and Duke-NUS.

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-partnered Ignition research project where you will be part of a collaborative team exploring innovative ways of characterizing the physical and rheological properties of liquid personal care products and understanding the impact of these properties in product design and process development.

Key Responsibilities

• In this role, you will perform shear and extensional rheological characterization of a large variety of liquid personal care products including lotions, topical oils, and more. We will explore innovative and emerging methods of rheological characterization and analyzing rheological data to extract material parameters to build a database of materials. Working with our industrial partner we will establish an understanding of rheological properties that are useful for product formulation and process design related to lab and larger scale extrusion/dispensing applications.More specific responsibilities include:
  • Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met.
  • Undertake development of rheological protocols and characterization of liquid personal care products
  • Formulate model materials with various additives to understand their impact on product rheology
  • Design, execute, and interpret experiments independently and with support from the PI.
  • Prepare and deliver written articles, reports, and presentations for industrial partners and external audiences.
  • Attend and present at regular group meetings to receive feedback on work done and future plans
  • 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.

Job Requirements

• Have relevant competence in the areas of rheological characterization and analysis, wet lab work, material formulation
• Have a degree in pharmaceutical engineering, chemical engineering, mechanical engineering, food or materials science/engineering, or a related field. Possessing a Master’s degree will be advantageous.
• Knowledge of any of the following will be advantageous: material dispensing/extrusion processing, material science, textural and sensory analysis

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 communicating via technical writing and presentations.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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. Conduct lab-based research and perform experiments.
2. Collaborate with colleagues both inside/outside the group.
3. Assist in daily lab management duties.
4. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner.
5. Ensure compliance with environment, safety, health and quality program requirements from all levels (e.g. university, faculty of engineering and the department of MSE).
6. Translation and commercialization. Training will be provided

Job Requirements

A bachelor and a master degree in Chemical Engineering, Material Engineering or related field is required. The candidate should have 2-3 years of experiences in doing research.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Duties and Responsibilities

(A) SPECIFIC (80%)

1. Conduct neuropsychological assessment and follow-up of patients and subjects for mood, anxiety, stress, resilience, personality traits, behaviour/habits, and emotional and social intelligence, ensuring standardised testing procedures are followed.
2. Collect, manage, and organise research data with attention to detail and data integrity.
3. Perform data analysis using statistical software (e.g. SPSS, R, Python) to identify trends and correlations related to cognitive impairment.
4. Assist in the preparation of research reports, manuscripts, and presentations for dissemination of study findings.
5. Maintain clear and accurate records of all research activities.
6. Collaborate effectively with a multidisciplinary team of researchers, clinicians, and data analysts.
7. Adhere to ethical guidelines and regulatory requirements for research involving human subjects.

​​​​(B) GENERAL (20%)

The Research Assistant will carry out other duties as specified by their Reporting Officer.

Qualifications

(A) EDUCATION, TRAINING AND EXPERIENCE

1. BSc, BA, BA (Psych) or a related background. Final year students are welcome to apply.
2. Proficiency in data analysis and statistical software (e.g. SPSS, R, or Python).
3. Strong organisational skills and attention to detail.
4. Excellent communication skills, both written and verbal.

(B) LANGUAGE

Fluent in English and Mandarin (We are recruiting personnel to perform Chinese language cognitive assessment for a mandarin speaking elderly population).