We are looking to hire a highly motivated, experienced, Project Manager for the National Platform - Multi User Wafer Fab (MUWF).

Competencies

• Experienced in semiconductor fab infrastructure construction and outfitting projects
• At least 5 years of relevant experience as Project Manager.
• Good understanding of semiconductor fabrication processes, cleanroom standards, and equipment, including HVAC, electrical, and plumbing systems tailored for Fab environments.
• Strong written and verbal communication skills to convey project plan, progress and issues clearly to various stakeholders.
• Ability to work as a team various departments and stakeholders to achieve goals including providing guidance to external contractors.
• Knowledge of quality standards and practices to ensure that project meet required specifications.
• PMP (Project Management Professional) & LEED Certification will be an advantage

Responsibilities:

• To work with user stakeholders and ensure that their requirements for the cleanroom infrastructure are communicated timely to JTC, consultant and contractors
• To attend all designated project meetings with JTC, consultant and contractors to represent users’ interests and ensure ASTAR requirements are taken into consideration.
• To coordinate with ASTAR internal groups and be the interface with JTC, consultant and contractors for project related matters resolution including recording of all assets
• To manage the project with JTC, consultant and contractors to ensure fitting out progress according to agreed timeline and to escalate to management any significant delays.
• Close liaison with JTC and its consultant and contractors on tools (equipment) installation, supervise and coordinate the activities of the user stakeholders’ vendors and contractors.
• To ensure commissioning, certification, and validation processes for cleanrooms are completed by JTC and its consultant and contractors to ASTAR’s satisfaction.
• To conduct inspections of ASTAR tenanted areas with JTC, consultant, contractors to identify defects and see through till rectification before takeover of the facilities.
• To periodically update ASTAR management on outfitting project progress at key milestones

• Position : Recovery Officer (Class 4 License) - Up to $3,800 Gross - No Experience Required!
• Location : Islandwide
• Working hours : 12 hours shiftwork
• Salary (commensurate with experience): Up to $3,800 Gross + Medical & Dental Benefits + Yearly Increment + Corporate Benefits
• Duration : Permanent
• Industry : Security

Responsibilities:

• Respond to incidents such as vehicle breakdown, vehicle collisions, road obstruction etc
• Recover breakdown and accident vehicles

Requirements:

• Must have Class 4 License
• No prior experience and training will be provided

Email to: [email protected]

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Jeslyn Tan

Associate Consulting Director (APAC)

Reg no.: R21101247 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

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 Group Overview: The Tissue Mimetics group at the Faculty of Dentistry, National University of Singapore (NUS) laboratory is primarily focused on developing next-generation tools for dental and craniofacial research. In particular, we focus on combining the expertise in stem cells, tissue engineering, microfluidics, organ-on-a-chip, 3D bioprinting, and non-invasive imaging to mimic various microphysiological features of tissues in health and diseased states and for translational regenerative applications.

Job Description: We are seeking a highly creative and self-motivated, full-time Research Fellow for a multi-disciplinary project on the fabrication of cardiac and vascular tissues using 3D bioprinting and microfluidic organ-on-chip strategies. The successful candidate will manage laboratory operations and work independently on a project involving advanced research techniques in biofabrication (3D bioprinting, microfluidics), 3D cell culture, molecular biology, 3D imaging, and image analysis. This research will be primarily conducted at the Faculty of Dentistry (NUS), and at collaborator’s labs at the Institute for Health Innovation & Technology (iHealthtech), and National Heart Research Institute Singapore (NHCS/NHRIS).

Responsibilities:

• Be proficient in 3D design, Bioink/hydrogel formulation, and 3D bioprinting of cells and tissues.
• Operate extrusion-based 3D bioprinters independently.
• Independently and collaboratively manage the optimization, development, and characterization of hydrogels, bioink formulation, 3D bioprinting, and tissue culture processes.
• Microfluidic design, fabrication, and optimization of microfluidic organ-on-a-chip devices.
• Conduct confocal microscopy and immunostaining for high-resolution imaging and detection of specific proteins in cells and tissues.
• Confident and proficient in the handling of stem cells, 3D culture, biomaterials, and variety of molecular assays, histological, and 3D imaging techniques.
• Maintain accurate laboratory records and ensure compliance with safety and ethical guidelines.
• Coordinate with multidisciplinary teams and assist in the preparation of research reports, grant proposals, and publications.
• Identify and coordinate with external vendors for resource procurement.
• Closely interact with multi-disciplinary collaborators including clinicians, biologists, and engineers.

Qualifications

• PhD degree in Bioengineering, Biomedical Sciences, Tissue Engineering, Dentistry, or related field.
• Working experience and proficiency in bioink fabrication, 3D (bio)printing, microfluidics, and/or tissue engineering.
• Proficiency in 3D design, AutoCAD, Fusion, Solidworks, COMSOL, ANSYS, or related applications.
• Strong expertise in cell culture and handling of stem cells, molecular biology, immunostaining, and confocal imaging techniques.
• Evidence of these skillsets through first-authored (preferably) and/or co-authored original research publications in the field of 3D bioprinting, microfluidics, and/or tissue engineering.
• Strong organisational, literature review, administrative and problem-solving skills.
• Be proficient in the preparation of research reports and publications.
• Highly self-motivated, ability to work both as part of a team and independently with excellent presentation and communication skills (both written and verbal in English).

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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 IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

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.

Qualifications

The candidate must possess:

• Possess a Bachelor/Master’s degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms.
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• 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

Research Assistant/Associate Policy Analyst – Population Health

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a Research Assistant/Associate Policy Analyst. The rapid population ageing in Singapore calls for innovative solutions. We aim to assess the impact of health promotion programmes (e.g. urban care farming, cognition training, etc) on the health and health-related behaviours of participants. This project will involve recruitment, assessment, and analysis of the research data. The candidate will also be working on models in policy evaluation. This is a full-time position based in Singapore.

Duties may include but are not limited to: (1) provide programming support to a research project (2) assist with recruitment and data analyses; (3) manage large complex databases; (4) conduct literature reviews (5) contribute to the development of scientific papers and the dissemination of the study findings.

The appointed candidate should: (1) Hold at least a bachelor degree (2) be proficient in Stata or R and (3) have experience in statistics, mathematics, econometrics, computer science, quantitative social science, public health, epidemiology or related field. Experience with C++ is preferred but not required.

The ideal candidate should demonstrate the ability to query large data sets and have excellent knowledge of quantitative methods in applied health and/or social sciences. Fluency in English, as well as demonstrably good writing and analytic skills are essential. Fluency in English is required as the candidate will deal with English-speaking stakeholders, such as conducting the research and meetings. The role will suit someone who enjoys problem-solving.

The position is for one year but can potentially be extended. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Applicants should send the following during job application:

1. Cover note introducing themselves (no more than 500 words);
2. A two-page Curriculum Vitae (only including relevant information), containing details of two named referees;
3. A sample of published work and their roles in the projects, if applicable.

Interviews will be face-to-face for candidates. We are accepting applications until the position is filled.

Responsibilities:

• Proactively source candidates through job boards, social media, networking, and employee referrals to build a pipeline of qualified candidates.
• Review resumes, conduct initial interviews, and assess candidates to ensure they align with job requirements and company values.
• Schedule and organize interviews with hiring managers, providing necessary background on candidates and ensuring smooth interview logistics.
• Maintain a positive candidate experience through timely communication and updates throughout the hiring process.
• Partner with department heads to understand their hiring needs and create effective recruitment strategies.
• Extend job offers and assist candidates through the onboarding process.

Requirements:

• No experience required - Training and industry certification will be provided
• Excellent communication and interpersonal skills
• Ability to assess candidate skills and fit accurately
• Strong organizational and time-management skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One postdoc position is available at the Surface and Interface Lab in Prof. CHEN WEI’s group, National University of Singapore. The successful candidate will work with Prof CHEN Wei on NAP-XPS investigation for interface engineered 2D materials under a project on NRF Investigatorship project "Interface Engineered Ferroelectric 2D Materials for Artificial Synapses and Neuromorphic Computing”.

The project focuses on the interface engineering for 2D materials for various applications, including neuromorphic computing and electrocatalysis, with particular emphasis on NAP-XPS technique. The selected candidate will work together with a team comprising experts in interfacial analysis about 2D materials and reaction mechanism study using home-made interface characterization tools.

Qualifications / Discipline:

• PhD in Chemistry or Materials in a research intensive and renowned University or Research Institute. The candidate shall publish at a few papers on top journals.
• Skills:
  Excellent English writing and communication skill, team management skill (help PI to lead a small research team with 1-2 master students), expert in 2D materials and NAP-XPS, structural characterizations using TEM/SEM/AFM/XRD, surface science techniques of XPS/UPS.
• Experience:
  The candidate shall have extensive experience in UHV surface science, particularly NAP-XPS technique, interfacial analysis and device applications of 2D materials.

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

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

We regret that only shortlisted candidates will be notified.

Job Summary

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

Job Description

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

Requirements

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Mechanobiology Institute (MBI) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in pathogenesis (ranging from bacterial to cancer), tissue regeneration, and function.

We are currently seeking a highly motivated postdoctoral fellow to join Prof. Lim Chwee Teck's lab at MBI. The Lim lab conducts research on biomedical problems relating to human diseases, in particular, diseases associated with cancer, malaria, sepsis and aging, and develops innovative mechanobiologically inspired platforms in microfluidics and wearable microdevices to detect, diagnose and treat such diseases.

Qualifications

Candidates with a PhD in engineering, biology, biomedical sciences, or related fields are encouraged to apply. A strong background in cell/ molecular biology is required, as well as prior experience with Nanofabrication. The candidate should possess excellent communication skills and the ability to engage in collaborative research in a highly interdisciplinary environment.

Salary and benefits are commensurable to educational qualifications and working experience of the candidates. 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 a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, 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 Fellow (RF) will plan and execute research studies to better understand the impact of environmental heat stress on various populations. The successful candidate will be responsible to, and work with, the Principal Investigator (PI) to ensure the successful and timely completion of the project.

Main Duties and Responsibilities

The duties and responsibilities of the successful candidate include but are not limited to:

1. Working closely with the PI to develop new research ideas, write up and present project proposals;
2. Designing research protocols and planning data collection strategies, guided by literature reviews and best practices;
3. Leading and training teams comprising Research Assistant(s), Students etc in the conduct of laboratory- and field-based research;
4. Establishing and managing databases;
5. Rigorous data analyses and interpretation of data;
6. Generating reports and high-quality publications for presentation to stakeholders and submission to top tier journals, respectively;
7. Leading a team comprising Research Assistant(s) and Students in the conduct of laboratory- and field-based research studies;
8. Working at different study sites, depending on the needs;
9. Working beyond routine work hours due to the nature of research;
10. Maintaining the highest standard of professional conduct and record-keeping in accordance with policies and procedures;
11. Maintaining regular communication with other members of the research team; and
12. Assisting with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a Doctorate, preferably in sport science, life sciences or related disciplines;
2. Have an interest and experience leading and conducting laboratory and field research with human participants;
3. Be proficient in statistics, data analyses and data visualisation for both quantitative and qualitative data;
4. Have excellent written and verbal communication skills;
5. Be adaptable and able to multi-task well;
6. Be able to work independently and in a team;
7. Have an investigative nature and be detail-oriented;
8. Have knowledge of computer applications, e.g. SPSS, MS Office.

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

Only shortlisted candidates will be notified. Review of applications will commence from November 2024 on a rolling basis. Applications will be considered until the post is filled.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, 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 (RA) will assist to plan and execute research studies to better understand the impact of heat on various populations. The successful candidate will be responsible to, and work with, the Principal Investigator and Co-Investigator(s) to ensure the successful and timely completion of the project.

Main Duties and Responsibilities

The duties and responsibilities of the successful candidate include but are not limited to:

1. Performing literature reviews, data collection and data analyses and drafting of reports and publications;
2. Supporting the conduct of laboratory- and field-based research studies;
3. Working at different study sites, depending on the needs;
4. Working beyond routine work hours due to the nature of research;
5. Maintaining the highest standard of professional conduct and record-keeping in accordance with policies and procedures;
6. Maintaining regular communication with other members of the research team; and
7. Assisting with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a good Bachelor’s degree, preferably in sport science, life sciences or related disciplines;
2. Preferably have an interest and/or experience in conducting laboratory and field research with human participants;
3. Be able to work independently and in a team;
4. Have an investigative nature and be detail-oriented;
5. Have knowledge of computer applications, e.g. SPSS, MS Office.

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

Only shortlisted candidates will be notified. Review of applications will commence from November 2024 on a rolling basis. Applications will be considered until the post is filled.

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 Mechanobiology Institute (MBI) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in pathogenesis (ranging from bacterial to cancer), tissue regeneration, and function.

We are currently seeking a highly motivated postdoctoral fellow to join Prof. Lim Chwee Teck's lab at MBI. The Lim lab conducts research on biomedical problems relating to human diseases, in particular, diseases associated with cancer, malaria, sepsis and aging, and develops innovative mechanobiologically inspired platforms in microfluidics and wearable microdevices to detect, diagnose and treat such diseases.

Qualifications

Candidates with a PhD in engineering, biology, biomedical sciences, or related fields are encouraged to apply. A strong background in cell/ molecular biology is required, as well as prior experience with cancer cell mechanics. The candidate should possess excellent communication skills and the ability to engage in collaborative research in a highly interdisciplinary environment.

Salary and benefits are commensurable to educational qualifications and working experience of the candidates. 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 a Research Fellow in the Department of Paediatrics, Yong Loo Lin School of Medicine. Appointments will be made on a 10-month contract.

Main duties and responsibilities

A Research Fellow (RF) position is available at the National University of Singapore.

The RF will contribute to the development and implementation of statistical analyses within different projects in the field of Medical Statistics and Biostatistics, involving data from large heterogeneous cohorts such as GUSTO and S-PRESTO (more info at https://www.gusto.sg/ and https://www.s-presto.sg/ ). The projects are developed in close collaborations with researchers from A*STAR Institute of Human Development and Potential (IHDP) and NUS, working in different scientific areas, such as metabolomics and neuroscience, contributing to the interdisciplinary environment of the Institute. As such, excellent scientific communication skills are highly desirable. The RF will be asked to perform both routine and advanced statistical analyses, often characterized by a strong computational aspect.

Main Duties and Responsibilities

Topics of interest include, but are not limited to, longitudinal data analysis, graphical models, high-dimensional data analysis and Bayesian statistics. The candidate will work closely with Prof De Iorio, as well as collaborate with other researchers in A*STAR and NUS.

Applicants should hold or be close to submitting a PhD in Statistics or a related field such as Biostatistics, Mathematics or Computer Science, with a documented competence in Statistics and/or Biostatistics.

Knowledge of programming in R and other coding languages commonly used in Statistics such as C++/Python.

Qualifications

The applicant should:

1. Hold a Ph.D., preferably in Statistics/Computer Science
2. Have a strong background and extensive research experience in conducting human trials;
3. Have a good record of international publications in human research;
4. Proficient in the use of computer applications and data analysis software, e.g.MS Office, SPSS;
5. Excellent command of spoken and written English, and have strong interpersonal and communication skills;
6. Work independently and a good team player; and
7. Have an investigative nature and detail-oriented, highly motivated problem-solver.

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

Only shortlisted candidates will be notified.

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

• PhD in ML, NLP, speech and spoken language processing and multi-modal AI
• Proficient programming skills, familiarity with Linux is a must
• Familiar with different deep learning and LLM training frameworks
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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 candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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 candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with public sector and industry partners. EDDC now has an opening and is seeking to recruit a highly motivated and experienced leader for the Computational Sciences group. The successful candidate will be leading the computational biology and information system groups and providing strategic guidance to the discovery leadership teams and the EDDC management team in leveraging the power of artificial intelligence (AI) and machine learning (ML) to accelerate the drug discovery and development processes, including novel target identification.

Responsibilities:

• Manage a team of software engineers, data engineers, computational biology, bioinformatic, IT professionals, and data scientists to support and contribute to all the discovery projects.
• Drive the implementation of cross-functional data integration & workflow automation aimed at fostering data-driven and AI-driven approaches to drug discovery and validation.
• Lead strategic planning and execution of artificial intelligence (AI)/machine learning (ML) initiatives, with a focus to support AI-augmented drug design and development, addressing 'undruggable’ targets, and expediting processes.
• Cultivate and sustain robust collaborative relationships with various functions within the Discovery unit and across relevant divisions within EDDC.
• Establish, lead and actively contribute to key partnerships with academic and industrial entities within Singapore or globally to enable the smooth access of patient-derived data, support the novel target discovery and evaluation efforts.
• Oversee all IT operation infrastructure, propose strategic solutions and recommend new systems and software.
• Manage all technology systems and applications to support EDDC's goals and objectives

Requirements:

• A Ph.D. in computer science, data sciences, bioinformatics, computational biology, or related fields.
• An MBA is an added advantage.
• A minimum of ten years of leadership experience in the pharma/biotech industry, with a strong background in the application of computational biology and AI/ML to research, translational and clinical programs.
• Domain knowledge in at least one therapeutic area such as oncology, immunology, and inflammation.
• Proven track record of developing and launching industry-grade computational biology software platforms, with demonstrated Key Performance Indicators (KPIs) and pipeline impact.
• Hands-on experience with the AWS cloud platform and relevant certifications is preferred.
• Excellent executive communication, collaboration and leadership skills are essential.
• Sound working knowledge of IT operation, systems, and developments.

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

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

• PhDin ML, NLP, speech and spoken language processing and multi-modal AI with at least 5 years of relevant experience
• Proficient programming skills, familiarity with Linux is a must
• Familiar with different deep learning and LLM training frameworks
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Summary:

The HPC Storage Engineer will be responsible for managing the storage infrastructure within HPC environments. This role involves monitoring storage performance and optimizing through tuning and troubleshooting. Successful candidate with demonstrated experience in the HPC storage field may be considered for a Senior position.

Responsibilities:

Storage administration and optimization

• Work with Managed Services teams in managing and administering the storage infrastructure.
• Ensure storage reliability and availability within HPC system.
• Provide support on technical queries and troubleshooting storage-related issues.
• Implement best practices for storage monitoring and reporting.
• Monitor utilization rate, allocation and analyse the report for capacity planning.
• Conduct storage performance test and analysis.
• Collaborate with other teams for enhancement of storage performance and scalability.
• Develop and maintain comprehensive documentation for HPC storage infrastructure and processes.

Data management

• Create and execute a data placement strategy to optimize storage performance.
• Maintain data protection and disaster recovery strategies.
• Implement and maintain security measures to protect data integrity and prevent unauthorized access.

Designing and planning

• Assess future requirements and plan for storage expansion.
• Assist in the designing of future HPC system acquisition.
• Explore and evaluate emerging solutions in HPC storage technology.

Qualifications:

• Degree in a Computer Science, Engineering, IT or other relevant areas.
• At least 3 years of experience in managing storage infrastructure.
• Proficient in UNIX/Linux environments and command line interface (CLI).
• Good knowledge of HPC storage principles.
• Experience in managing parallel file system (Lustre, GPFS, BeeGFS).
• Good knowledge of RDMA-based interconnect (InfiniBand, RoCE).
• Demonstrate ability to analyse complex issues and develop effective solutions.
• To be considered for Senior position, candidates should have at least 5 years of experience in roles that involve the deployment of HPC storage infrastructure, covering key areas such as designing, installing, configuring, documentation and providing admin/user training.

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 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.

We invite applications for the position of Research Associate who will be housed in the Department of Computer Science, School of Computing (SoC) under Principal Investigator, Professor Liang Zhenkai for research grant ref: NRF/UP#1, titled: “Security and identity management of digital infrastructure for FinTech services.”

We are strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the wellbeing of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

Qualifications

The Research Associate will be responsible for working closely with the Principal Investigator and lab members on one or more research projects under the NRF grant. He/she should possess experience or interest in at least one of the following research areas:

• Security
• Systems and Networking

Job requirements:

• Master’s degree with at least 2 years’ relevant work experience;
• Programming skills in C/C++.
• Experience in research.
• Experiences with the following areas will be preferredProgram analysis
  System/OS kernel development
  Audit log analysis
  Trusted hardware programming

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 East Asian Institute (EAI) at the National University of Singapore is seeking a highly qualified senior researcher with a strong background in Chinese politics and governance to join our multidisciplinary team.

Position: Senior Research Fellow
Field: Chinese Politics and Governance

Qualification
• PhD in Political Science or related field
• 10+ years of work experience in research or any relevant areas

About EAI
Established in 1997, the East Asian Institute (EAI) promotes both academic and policy-oriented research on East Asian development. Our focus includes contemporary China (including Hong Kong and Taiwan), and China’s economic relations with Japan, Korea, ASEAN, and the world. We collaborate with regional and international institutions, organize conferences, and provide insights that inform public policy.

Role and Responsibilities
Research at the Institute on Chinese politics and governance includes a range of topics, including but not limited to elite politics, the institutions and work of the Communist Party and government, central-local relations, law-based governance, and governance of society and the economy. Candidates for the position are expected to have demonstrable expertise in two or more of these areas:
• Conduct in-depth research in Chinese politics and governance.
• Lead research projects and a small team.
• Contribute to EAI’s Background Briefs for a policy-maker audience.
• Engage the public through commentary, op-eds, and public lectures.
• Publish in academic journals and other reputable platforms.

What We Offer
• Centre of Excellence: Join a prestigious institute recognized for its impactful analysis and research.
• Dynamic Environment: Work in a collaborative and intellectually stimulating setting.
• Multidisciplinary Approach: Engage with experts across disciplines.
• Unique Geopolitical Position: Leverage Singapore’s position as a bridge between East and West to amplify your research impact.

Application Process
Interested candidates should submit their CV, a cover letter outlining research interests, and two samples of published work.
Application Deadline: November 20, 2024

We look forward to your application and the opportunity to collaborate on advancing our understanding of Chinese politics and governance.

Job Summary

This is a 6 months contract process improvement role, supporting Regional Manager in projects to streamline processes and improve efficiencies in Parts & Service operations. This role focuses to document current processes, improve current processes/develop new processes, work with teams to implement these changes through briefing/training sessions and support any other related activities as assigned by Regional Manager.

Key Accountabilities

• Clear documentation of processes

• Review and develop streamlined processes

• Train and implement new processes

• Reduce Waste & Improve efficiencies

• Project management & administrative support

• Completion of tasks/assignments according to given timeline

Key Job Requirements

• Process improvement knowledge

• Project management/administration

• Parts Logistics management/administration

• Proficient in Microsoft Office Suite

• Working experience with ERP systems

• Meticulous, Analytical, Team player, Effective communicator (Verbal & Written)

• Minimum 1 year in Logistics/Engineering/Administration

• Diploma/Degree in Industrial Engineering/Operations Management/ Business Administration

RESPONSIBILITIES

• Conduct high-quality guided tours and interactive activities for all levels of visitors (e.g. students and tourists)
• Assist with event coordination and crowd management
• Assist with site facility checks, site operations and submit administrative/operations' reports
• Perform visitor services' duties
• Undertake historical and related research from time to time as directed by senior management

JOB SCOPE

In-House Tours and Interactive Activities

• Conduct daily in-house guided tours
• Handle guest enquiries
• Gather feedback on visitor experience
• Perform service recovery (where necessary)

Retail

• Handle cash register sales
• General in-house announcements and AV operations
• Counter sales (in-house guided tours and gift shop)
• Registration of visitors

Stocktaking

• Daily and end-of-month stocktakes
• Stock tallying and monitoring
• Stock deliveries and replenishment of merchandise

Other Duties

• Maintain museum decorum and general cleanliness
• Maintain facility security
• Simple F&B duties
• Assist in emergency evacuation/administer first aid
• Other duties as and when assigned by senior management

PRIOR EXPERIENCE

• Not necessary; however, prior experience (at least 1 year) working at heritage sites or attractions will be an advantage.
• If you are interested, please email your CV to the HR Director at [email protected].

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 team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in the theory and computational methods of condensed matter physics and two dimensional (2-D) materials devices. Our research focuses on investigating topological physics in quantum materials, with the aim of controlling potentially exotic properties such as anomalous Hall effect, non-linear Hall effect, magnetism, metal-insulator transitions, and topological properties.

Requirements

• The candidate should have a PhD in Physics.
• The candidate should have experience working in clean room and familiar with DFT simulation, molecular dynamic simulation, transition state calculation.
• The candidate should have a strong track record in 2-D materials physics, publishing in the area of quantum topology physics concerning 2-D materials, or in the spintronics (spin Hall effect) of 2-D materials.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Centre for Trusted Internet and Community. CTIC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will work closely with the Principal Investigators, Professor Lee Mong Li and Professor Wynne Hsu, to conduct research in misinformation. Research output is expected to be high, suitable for publication at top conferences and journals.

Requirements

• A Bachelor or Master Degree in Computer Science or related field with good grades
• Relevant coursework or projects in machine learning or computer vision.
• Good speaking and writing ability in English.
• Experience in research would be an advantage.