Job Description

Nuevocor is a pre-clinical stage biopharmaceutical company dedicated to developing genetic medicines to treat the underlying cause of genetic cardiomyopathies. Backed by an international syndicate of reputable venture capital firms, it will focus on advancing its pipeline of programs to clinical trials. It will also leverage its platform technology, underpinned by a deep understanding of cardiac mechanobiology, to discover and develop therapies for multiple cardiomyopathies.

Nuevocor’s Singapore R&D site is seeking to hire Research Associates/Technicians to expand our internal research capabilities. You will be joining a close-knit team where you will work closely with company scientists. You will be part of a dynamic and fast-paced biotech working environment.

Responsibilities

- Work with company scientists to execute and troubleshoot experiments in a variety of areas, including target discovery, target validation, and lead optimization of gene therapy for genetic cardiomyopathies

- Contribute to multiple projects to achieve project milestones and meet timelines

- Keep detailed and accurate records of experimental protocols and data

- Support scientists in data analysis and progress reports

- Contribute to lab management

Requirements

- Bachelor’s degree in Life Sciences or related fields; Polytechnic certifications will be considered for Technician positions

- Experience or prior exposure to any of the following areas is preferred:

• Handling of mouse models, such as transgenic colony management, administration of drugs, tissue extraction and processing, histology, and molecular assays;
• Experience in cell and molecular biology and biochemistry, such as cell culture, transfections, molecular cloning, PCR, qPCR, Western blots, ELISA, immunoprecipitations, immunofluorescence microscopy

- Keen interest in translational research and comfortable working efficiently to meet milestones

- High standards in documentation and record keeping

- Good time management and pro-active attitude

- Excellent communication skills and able to work in a team

Nuevocor is an equal opportunity and equal benefits employer. All qualified applicants will receive consideration for employment. Position is commensurate with experience.

Interested candidates, please submit a CV and cover letter to tinyurl.com/careersnuevocor.

Wilmar International Limited is Asia’s leading agribusiness group. Wilmar International business activities include oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing and merchandising, specialty fats, oleochemicals, and biodiesel manufacturing, and grains processing and merchandising. It has over 500 manufacturing plants and an extensive distribution network covering China, India, Indonesia and some 50 other countries. The Group is backed by a multinational workforce of about 100,000 people.

Wilmar International Limited invites applications for 1 Research Scientist (RS) position. The RS will be responsible for the goals set out for the project(s) of interest. The principal role of the RS will be to engineer and optimize microorganisms such as yeast for application in production of industrial chemicals.

Main duties and responsibilities

The Research Scientist is expected to:

• Develop and optimize microorganisms such as yeast and relevant bioprocess for cost-effective production of industrial chemicals;
• Design, plan, and conduct experiments independently to meet the project deliverables;
• Generate/analyze the data/results, generate report and communicate the project progress to team lead, collaborator, or the head of department;
• Troubleshoot for the project when needed;
• Keep up with project-related developments through literature/patent surveys;
• Collaborate with project-related academia and industry;
• Deliver other duties/projects as delegated by the team lead or the head of department.

Qualifications

The applicant should:

• Hold a Ph.D. specialized in microbial strain engineering/optimization for biochemical production;
• Demonstrate passion and innovation for synthetic biology/metabolic engineering-related projects, and applying research findings for industrialization;
• Have a good knowledge on gene transcription/translation/regulation, metabolic pathway manipulation in microbial strains such as yeast;
• Have hands-on experience on molecular cloning, genetic parts, microbial engineering/ fermentation, and analytics;
• Demonstrate a can-do attitude and a sense of urgency;
• Be able to work independently and in a team.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Scientist:

We are looking for a simulation expert who will be part of the team developing a next-generation mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios.
• Develop behavioural rules for the simulation agents.
• Implement real-world dynamics including physical motion laws, power-flow, scheduling, and operational constraints as needed.
• Design, calibrate and validate simulation models.
• Optimise the performance of the simulation.
• Write research papers and present at conferences and communicate to project collaborators

Education and experience requirements:

• Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• At least 2 years of experience
• Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Minimum of two years of experience in simulation development.

Technical skills:

• Strong proficiency in Java and Python programming languages.
• Familiarity with electrified mobility technologies, electric vehicles, and charging infrastructure.
• Experience with version control systems (e.g., Git).

Experience/familiarity with any of the following is a plus:

• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).

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 Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 5 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication skills

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

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Scientist:

We are looking for a simulation expert who will be part of the team developing a next-generation mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios.
• Develop behavioural rules for the simulation agents.
• Implement real-world dynamics including physical motion laws, power-flow, scheduling, and operational constraints as needed.
• Design, calibrate and validate simulation models.
• Optimise the performance of the simulation.
• Write research papers and present at conferences and communicate to project collaborators

Education and experience requirements:

• Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• At least 5 years of experience
• Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Minimum of two years of experience in simulation development.

Technical skills:

• Strong proficiency in Java and Python programming languages.
• Familiarity with electrified mobility technologies, electric vehicles, and charging infrastructure.
• Experience with version control systems (e.g., Git).

Experience/familiarity with any of the following is a plus:

• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).

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 Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 2 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication skills

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for an experienced Data Manager to oversee the development and use of data systems in ADVANcing Clinical Evidence in Infectious Diseases Network (ADVANCE-ID)

ADVANCE-ID is jointly funded by the Wellcome Trust and Singapore institutions including the Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections. Its mission is to build and sustain a strategic clinical research network focussed on most efficiently delivering locally relevant interventions for drug-resistant infections.

The Network aims to improve and strengthen clinical research capabilities in the region by acting as a platform to develop good principles and practices. It will stabilise capacity and capabilities to mitigate inefficiencies in trial start-up phase and loss of skillset following study closure, as in typical trial setup. The Network will continuously develop its capabilities, quality and efficiency by learning from and collaborating with other clinical trial networks.

In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its original starting point in South East Asia and collaborating with other networks around the world. It will function as an active network that involves patients in platform trials, allowing for rapid clinical research response in the event of an emerging infectious disease or pandemic threat.

The data manager should be a data expert with experience in clinical trial data management and will be working closely with both internal and external stakeholders.

Duties & Responsibilities
• Data Governance: Establishing data governance policies and procedures to ensure data quality, consistency, and integrity throughout the organization.
• Data Collection and Integration: Designing and implementing data collection methods and processes to gather relevant information from various sources.
• Database Management: Overseeing the design, development, and maintenance of databases to store and organize data efficiently. This includes database architecture, data modeling, indexing, and performance optimization
• Data Integration: Combining data from different sources into a single, unified dataset. This involves merging, consolidating, or linking data based on common data attributes or identifiers.

• Data Quality Assurance: Developing and implementing procedures for data validation,data cleansing, and data quality checks to ensure the accuracy, consistency, andcompleteness of data.
• Data Analysis and Reporting: Collaborating with investigators to provide accurate andtimely data for analysis and reporting purposes.
• Data Strategy and Planning: Contributing to the development of data strategies androadmaps aligned with the organization's objectives.
• Collaboration and Communication: Collaborating with cross-functional teams, includingIT, analytics, and business units, to understand data requirements and ensure dataavailability.
• Compliance and Regulations: Keeping up-to-date with data protection regulations,industry best practices, and emerging technologies.

Qualifications

• Experience in clinical trial data management
• Proficiency in data management tools, databases, and programming languagescommonly used in data management.
• Excellent communication and collaboration skills
• BSc or MSc in relevant field

The Smart Systems Institute (SSI) at the National University of Singapore is an interdisciplinary research institute and an experimental “playground" for human-centered AI technologies. Our vision is to enable situated AI assistance for every human to work, play, and learn. The research at SSI spans the spectrum of embodied AI, robotics, interaction design, augmented/virtual reality. The institute brings together researchers from diverse backgrounds, including AI, engineering, design, social sciences, to collaborate and to shape the future of AI.

• The visiting faculty member will conduct research within the scope of interesting in Smart Systems Institute

• Work in the areas of collaborative robotics, mobile manipulation, and human-robot interaction

• To undertake cooperative research with the students in SSI laboratories

• The expected research outputs will be several conference papers and journal articles—the main area of investigation will be robust manipulation in dynamic environments.

• Provide expert advice in any research, education, or advisory matters pertaining to the Institute

Qualifications

• A PhD from a well-placed university is highly desirable.
• Demonstrates good leadership, strong interpersonal skills, and management abilities, and has directed successful projects or academic initiatives.
• Candidates are expected to have a strong track record of outstanding research achievements in his/her area of expertise in the international research community.
• Evidence of course development and strong teaching in interdisciplinary and collaborative learning platforms.
• Faculty or industry practitioners who should be passionate about their disciplinary areas and have demonstrated creative capacity to provide knowledge integration in fusing human intelligence with machine intelligence.

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.

Application dossiers should include a detailed curriculum vitae with a full list of publications, statements of research interests and teaching experience (maximum 3 pages each), the names of three referees, as well as any other relevant information.

We regret that only shortlisted candidates will be notified.

Introduction

In collaboration with the Woodlands Health (WH) and the National Health Group (NHG), the Rehabilitation Research Institute of Singapore (RRIS), the Nanyang Technological University (NTU), and SingHealth, SEC is undertaking a research programme on "Built Environment and physical activity in Falls and Arthritis study (BE-FIT)". It addresses imminent health challenge on moving away from “sickcare” and pivoting towards preventive healthcare as part of the nationwide effort on Healthier SG. Within BE-FIT we envision motivating vulnerable older adults to engage in healthy behavior by providing recommendations on improving accessibility (as well as preception thereof), in urban environment for uptake of physical activity. A deeper understanding of the interactions and interplay between BE and the high burden of falls and OA as proposed within the BE-FIT is crucial towards informing data-driven decisions on urban design and how the mobility-impaired elderly interact with their physical environment.

Project background

Falls result in severe physical as well as psychological impact among older adults. Beyond physical implications on injury-related trauma and in severe cases death, the psychosocial impact of falling can also be excruciating. Fear of falling can result in vicious cycles of decreased activity as well social isolation. These in turn lead to lower muscle strength and higher risk of future falls. In a similar manner, osteo-arthritis (OA) can lead to fear of movement (kinesiophobia) resulting in reduction of physical activity levels.

Within Work package 3 (WP3) of the BE-FIT study, we investigate movement patterns and features of walking outdoors and in the neighbourhoods among vulnerable older adults (suffering from OA as well as at high risk of falling). We will acquire these movement patterns and features using the state-of-the-art inertial measurement units (wearables such as ZurichMOVE or Axivity) sensors. These sensors are equipped with triaxial accelerometers and gyrospcopes and provide assessment of aspects such as impact and swing behaviour during different movements. Specifically, we will be addressing the following research questions:

1. What are the kinematic characteristics of walking among older adults with OA and/or previous falls under ecological settings (neighbourhoods etc)?
2. Do the kinematic characteristics of naturalistic walking predict physical activity rates?
3. Does the design of walkways (including overall layout, e.g. design of curbs, pathways etc and accessibility features e.g. size of the curbs, or height of side walk, ramps vs stairs) impact overall levels of physical activity as well as specifics of walking quality?

Task/Job Description:

As a Research Assistant in the BE-FIT, you will be responsible to

• Design, implement, and test the measurement protocol on long term monitoring using the state-of-the-art inertial measurement unit sensors.
• Assist project management for BE-FIT research activities at SEC including project planning activities, effort estimates, and on-site and remote exchange with several research partners, especially at the CNRS, RRIS and WH.
• Conduct research for the BE-FIT long-term monitoring within the Work package 3, including participant recruitment and scheduling of measurements, but also communication with participants on replacement of sensors and battery charging, and finally storage of data collection.
• Interact with end users as well as researchers at SEC, ETH Zurich, and local partners

Requirements:

This position requires:

• A university or applied science degree in Nursing and Physiotherapy, but also Psychology, Cognitive or Behavioural Science, Neuroscience, Rehabilitation Science, Biomedical Engineering, or a related field/equivalent work experience
• Experience with research methods, study design, project management, handling patients, especially older adults
• Good “people skills” when interacting with participants, patients, and colleagues
• Interested in working with and developing protocols for acquiring data using technological tools and equipment particularly in the field, e.g. remote sensing, etc.
• The following competencies will be advantageous:
• Be proactive, communicative and show personal responsibility, initiative and enjoy technology and interdisciplinary teamwork
• Can work autonomously and with a self-starter attitude
• Good communication skills orally and in writing
• Previous experience with health-related data and protocols
• Compensation commensurate with qualifications and experience

Information about the application process and contact for applicants

We look forward to receiving your online application with the following documents:

• Cover letter outlining your motivation and experience in the field
• A comprehensive CV including certificates (e.g. Master's and/or Bachelor's degree)
• Transcript of records

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about BE-FIT Project can be found on our website: https://fht.ethz.ch/

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)

The Singapore-ETH-Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.

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 spin and energy lab at National University of Singapore invites applications for research fellow positions in spintronics. In this position, you will carry out experimental research on novel spintronic devices for memory and computing applications.

Qualifications

• Possess a recognized PhD degree in physics or nanoelectronics.
• 4-5 years of experience in experimental device/spintronics research.
• Experience in electrical transport measurements and thin film deposition/characterization.
• 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

This project aims to model the corrosion induced damage process in reinforced concrete. A multi-physics model is envisioned, to capture the ingress of chloride ions, the stress loading on concrete material due to the formation of corrosion products, and the resultant damage in concrete.

The candidate is expected to perform the following tasks:
• Develop and implement a multi-physics FE numerical model for concrete on the diffusion of chloride ions;
• Develop and implement a FE damage model for concrete to capture the development of cracks in reinforced concrete;

Job Requirements

• Possess a bachelor’s degree in a relevant field, with demonstrated experience in the following topics:
• Meso-scale generation and meshing of FE unit cells for concrete.
• Phase-field / nonlocal / gradient damage models for concrete.
• Good written and spoken communications and able to present results clearly.
• Open to fixed-term contract.

The Agency for Science, Technology and Research (A*STAR) is Singapore"s lead public sector agency that fosters world-class scientific research and talent to drive economic growth to transform Singapore into a vibrant knowledge-based and innovation driven economy. For more information about A*STAR, please visit: www.a-star.edu.sg

A*STAR is spearheading a series of Strategic Research & Translational Thrusts (SRTT) that harnesses its multidisciplinary expertise to undertake a focused research mission. Operating as a cross-A*STAR initiative, SRTTs are geared at delivering impact and outcomes in specific thematic areas. Led by the A*STAR Research Office (RO), SRTTs will be actively managed where the SRTT Programme Directors and research team members will be provided dedicated central support. Under the newly established Central Initiative Administration (CIA), A*STAR is recruiting a Manger/Senior Manager/Assistant Director for SRTT Programme Research Administration and Operations.

Responsibilities & Duties:

• Support the overall administration, office management and operations of SRTTs, including research admin support (e.g., support Project Investigators (PI) in grant administration and reporting, ethics review, research software support, scientific advisory panel meeting logistics, etc.)
• Provide corporate and business service support to SRTTs, working with Corporate Group (CG) and Space, Infrastructure and Admin (SpIA) Partners and Research Institute (RI) admin teams.
• Craft, review, and implement business process workflows to achieve efficiency and optimization.
• Work with the Central Initiative Directorate (CID) team to manage and track the operating budget for supporting the SRTTs; this includes costs of SRTT staff training, development and engagement, engaging experts / advisors, CG support, and other costs that may not be directly attributed to specific SRTTs.
• Work closely with RO and other relevant stakeholders to formulate, communicate, and implement administrative policies and procedures, adhering to relevant A*STAR policies and guidelines.
• Onboard new staff and students, including visiting scientists/professors.
• Plan and prioritize to cater to the different needs of SRTTs.

Requirements:

• Preferably possess a BSc or BA in a scientific discipline.
• Minimum 5 years of experience in research administration and operations preferred.
• Strong analytical and system thinking abilities, and good project management skills.
• Good communication and presentation skills (both written and oral)
• Ability to build relationship and work across different functions and departments
• Proficiency in data analytics is a bonus

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 department is looking for an established and renowned scholar or practitioner in the field of Bioinspired Robots, Deep-Learning for Sensing and Control, Autonomy in Natural Environments to serve as a visiting professor.

The research agenda of the sabbatical will address two to three aspects of flapping-flight MAVs inspired by bats, in particular its (i) aerodynamics, (ii) robotic replication, and - if time permits - its acoustic characteristics. The research work, especially on topics (i) and (ii), will build on three strands of ongoing research: (i) The collection of experimental data from bat flight that has started in Brunei in the summer of 2023 and will be continue in the summer 2024, (ii) complexity analysis of bat flight kinematics, and (iii) design and implementation of biomimetic MAVs.

Qualifications

• Holding professorship in IHL or equivalent in industry
• Established individual in the field of Bioinspired Robots, Deep-Learning for Sensing and Control, Autonomy in Natural Environments
• Rich teaching or practice experiences in Bioinspired Robots, Deep-Learning for Sensing and Control, Autonomy in Natural Environments
• Rich international exposure in both academia and industry

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a motivated and hands-on individual who will assist with field surveys and mariculture research based at the St John’s Island National Marine Laboratory.

Job Scope includes:

• Conduct regular biodiversity field surveys (intertidal).
• Specimen processing including Imaging
• Conduct daily animal husbandry
• General maintenance and housekeeping of field equipment and aquarium
• Procurement for project needs
• Assist in data analysis and report writing/scientific paper writing
• General administrative duties
• Other duties as and when assigned

Qualifications

• Bachelor’s degree in Science from a recognised University, majoring in Biology, Zoology, or equivalent
• Proficiency in oral and written English
• Able to work in a team and independently
• Experience with animal husbandry and fieldwork will be an advantage
• Strong interest in marine science
• Job position is based at the St John’s Island National Marine Laboratory, St John’s Island.

Ferry transport to work will be provided.

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

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be advantageous.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a highly motivated and competent research assistant to work on research focusing on peptide crystallization as a versatile platform technology for delivering biocompatible nanomaterials. The successful candidate will work with Dr Chen Wenqian to help with lab management and support ongoing research activities.

The main responsibilities of the position include:

a. Lab safety, ordering, and lab management (30%)
o To serve as a lab safety lead.
o To be responsible for lab ordering.
o To organise chemicals and consumables in the lab and update the inventory.
o To create and review standard operation protocols (SOPs) and risk assessments (RAs).
o To ensure cleanliness and tidiness of the lab.

b. Research tasks (70%)
o To perform peptide synthesis and characterization of synthesized peptides.
o To perform peptide crystallization and characterization of crystallized peptides.
o To prepare tablets from crystallized peptides and perform characterization of the prepared tablets.
o To test bioactivity of protein/peptide using bioassays.

Qualifications

Qualifications / Discipline:
• Bachelor’s degree in biology, microbiology, pharmacy, pharmaceutical science, chemistry, life sciences, materials science, bioengineering, chemical engineering, or related field.

Skills:
• Excellent time and project management skills.
• Excellent communication skills and great ability in written and spoken English.
• Be able to work independently and be a team player.

Experience:
• Experienced in bioassay preparation and handling.
• Experienced in crystallization and crystal characterization.
• Experienced in powder processing and characterization.
• Experienced in tablet preparation and characterization.
• Experienced in data analysis using softwares such as R, MatLab etc.
• Experienced in report writing and presentation preparation.

Job Description

We are looking for a research officer to apply biomolecular modelling methods, including homology modelling and molecular dynamics, to understand the molecular mechanisms of coding variants that are associated with type 2 diabetes. Where applicable, structures of protein–ligand, protein–protein, protein–nucleic acid complexes will be modelled to determine the effect of the mutation on these interactions. The successful candidate will also have opportunities to work on collaborative projects with experimental groups to develop therapeutics and understand biochemical mechanisms.

Job Requirements

• Bachelor"s degree in life sciences, chemistry, computational biology, or a related discipline
• Passion for science and research
• Strong knowledge of structural biology
• Keen interest in programming. Prior experience is preferred, but not required.
• Able to work independently and as part of a team
• Highly motivated
• Excellent written and oral communication skills

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

Job Overview:

We are seeking a highly motivated and experienced Lead Research Officer with expertise in synthetic biology and bioinformatics to spearhead our innovative projects at the intersection of these fields. The ideal candidate will drive forward our research agenda, leveraging their deep understanding of synthetic biology principles and bioinformatics tools to lead interdisciplinary teams towards project success. This role requires strong leadership, technical proficiency, and strategic thinking to advance our scientific objectives and contribute to groundbreaking discoveries in synthetic biology.

Responsibilities:

Strategic Research Leadership:
Lead the design and execution of research projects at the forefront of synthetic biology, integrating bioinformatics approaches for data analysis and interpretation.
Develop and communicate a clear scientific vision, setting strategic research goals aligned with organizational objectives.

Project Planning and Execution:
Develop comprehensive project plans, timelines, and milestones in collaboration with cross-functional teams.
Oversee project execution, ensuring adherence to timelines, budgets, and quality standards.
Provide scientific guidance and technical expertise to research teams, troubleshooting challenges and driving innovative solutions.

Bioinformatics Analysis and Integration:
Apply bioinformatics tools and methodologies to analyze genomic, transcriptomic, and proteomic data relevant to synthetic biology projects.
Integrate bioinformatics analyses into experimental design and data interpretation, driving insights and guiding research directions.

Team Leadership and Mentorship:
Mentor and support team members, fostering a collaborative and inclusive research environment.
Provide scientific leadership, guidance, and technical training to research staff, empowering them to excel in their roles.

Communication and Collaboration:
Communicate research findings, progress, and implications to internal and external stakeholders through presentations, publications, and reports.
Collaborate with academic and industry partners to leverage complementary expertise and advance research objectives.

Regulatory Compliance and Ethical Standards:
Ensure compliance with regulatory requirements and ethical standards governing synthetic biology research.
Collaborate with regulatory affairs teams to facilitate regulatory approvals and adherence to best practices.

Requirements:

• B.Sc in Synthetic Biology, Bioinformatics, Molecular Biology, or related field.
• At least 8 years of relevant experience
• Extensive experience leading interdisciplinary research teams in synthetic biology or related fields.
• Proficiency in bioinformatics tools and programming languages commonly used in genomic and proteomic analysis (e.g., Python, R, BLAST, UCSC Genome Browser).
  Strong understanding of synthetic biology principles and techniques, including DNA synthesis, assembly, and characterization.
• Excellent leadership, communication, and interpersonal skills, with a track record of fostering collaboration and innovation.
• Experience with regulatory compliance processes and standards applicable to synthetic biology research (e.g., biosafety regulations) is preferred.
• Demonstrated ability to develop and execute strategic research plans, driving scientific advancement and contributing to organizational goals

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

About Us:

The Bioinformatics Institute at the Agency of Science, Technology and Research is at the forefront of cutting-edge research in the field of bioinformatics, contributing to advancements in drug discovery, clinical diagnostics and therapeutics, biological knowledge creation and beyond. We are seeking a dynamic and experienced Programme Manager to join our team to lead the execution of research programmes across multiple institutes and external entities.

About This Role:

As a Programme Manager at the Bioinformatics Institute within the Agency of Science, Technology and Research, you will play a crucial role in driving the success of our research programmes. This dynamic position requires a blend of strategic thinking, effective communication, and project management skills to ensure the seamless scoping, alignment and execution of cutting-edge projects.

You will be at the centre of action of interdisciplinary collaborations, working closely with research teams, external partners, and stakeholders to advance the field of bioinformatics. This role offers a unique opportunity to contribute to groundbreaking scientific discoveries while navigating the challenges of managing diverse programmes. If you are a motivated and skilled individual with a passion for scientific innovations, this role provides an exciting platform to shape the future of bioinformatics research.

Key Responsibilities:

1. Programme Ownership:
   • Take ownership of research programmes together with the scientific lead, overseeing the entire lifecycle from project formation to execution.
   • Collaborate with research teams in the early phases to assist in proposal scoping and development, funding acquisition, and project initiation.
2. Project Management:
   • Utilize strong project management skills to ensure projects are delivered on time, on target and within resources.
   • Develop and implement project plans, track progress, and proactively identify and mitigate risks, under framework agreements.
   • Work closely with scientific lead to pitch to management and gain required approvals for contract execution and funding.
   • Working with other project managers in the programme to coordinate execution and reporting.
   • Manage multiple programmes concurrently, each at different stages of development, with varying levels of attention required.
   • Prioritize and allocate resources efficiently to meet programme objectives
3. Stakeholder Management:
   • Engage with internal and external stakeholders to build strong relationships and ensure alignment with programme goals throughout programme lifecycle.
   • Effectively communicate project updates, milestones, and potential challenges to stakeholders.
4. Conflict Management:
   • Demonstrate strong conflict resolution skills to address issues promptly and maintain positive team dynamics.
   • Navigate challenges tactfully while keeping the focus on programme objectives.
5. Strategic Partnering and Business Development:
   • Work with the Business Development team to assemble Industrial Stakeholders and Performers across Research Institutes (RI"s) to build a cohesive team for the execution of the programme.
   • Supporting on Strategy and Business Development activities when called upon.

Additional Considerations:

• Collaborative Environment: Foster a collaborative and inclusive work environment, promoting teamwork and knowledge-sharing across diverse research and project teams.
• Adaptability: Demonstrate flexibility in adapting to the evolving needs of research programmes and the institute, contributing to an agile and responsive work culture.
• Continuous Learning: Stay abreast of emerging trends and advancements in bioinformatics and related fields, strategic directions and programmes in A*STAR, integrating new knowledge into programme strategies.
• Budget Oversight: Collaborate with finance teams to monitor programme budgets, ensuring financial sustainability and sufficient resource allocation.
• Independence and Motivation: Self-motivated individual capable of driving projects and programmes independently.
• Strive for Excellence: Uphold high quality of performance, and taking initiatives to identify opportunities for programme improvement and innovation.
• Resourcefulness: Ability to get guidance and support from other job functions and divisions in A*STAR to be position the programme, resolve bottlenecks and ensure smooth execution of the programme.

Qualifications:

• Bachelor or other advanced degree in bioinformatics, biomedical engineering, life sciences or relevant scientific or management field.
• Proven success in programme and project management, preferably in a research or academic setting. PMP certification is a preferred.
• Strong understanding of bioinformatics and life sciences.
• Excellent written and verbal communication skills.
• Excellent interpersonal skills
• Demonstrated ability to manage multiple stakeholders and conflicting priorities.
• Proficiency in conflict resolution and problem-solving.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The staff would lead at least one project under supervision of the Principle Investigator (PI) and the scope of the project is on biomass valorization. The responsibilities will be as follow:

• To develop a well justified approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff.
• To execute the plan experimentally and interpret the data critically.
• To report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge.
• To draft manuscripts and attend conferences to publicize the project findings.
• To support other team members and train junior colleagues. The staff will need to draft research proposal together with the PI.

Qualifications

A well-qualified candidate should:

(1) be passionate about research;

(2) have a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;

(3) be an expert of chemical conversion of natural and synthetic polymers;

(4) command both spoken and written English at professional level;

(5) be a good team player;

(6) excellent publication record in related areas.

JOB DESCRIPTION

We are looking for highly-motivated and skilled data engineer to work on a new initiative on developing advanced AI software platform for Cardiac CT diagnosis.

Successful candidate will work with a team of data scientists and data engineers to develop AI platform for hospitals and clinical trials. Successful candidate will have the opportunity to tap into a large pool of industrial data from different disciplines and to interact with the companies to understand their real data needs.

JOB REQUIREMENT

• Bachelor degree in the field of software engineering, computer science, computer engineering, mathematics and statistics, electrical engineering, or related field.
• Possess minimum 1 year of relevant work experience
• Ability to work independently to translate research ideas into programs with efficient coding
• Basic knowledge on data analytics, machine learning, data mining
• Proficient in Python, Java Script
• Prior industry experience with engineering, financial services, healthcare, or urban development is a plus
• Able to deliver under tight schedule
• Good team player with both research and engineering ethics
• Good interpersonal and communication skills

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

JOB DESCRIPTION

We are looking for highly-motivated and skilled data engineer to work on a new initiative on developing advanced AI software platform for Cardiac CT diagnosis.

Successful candidate will work with a team of data scientists and data engineers to develop AI platform for hospitals and clinical trials. Successful candidate will have the opportunity to tap into a large pool of industrial data from different disciplines and to interact with the companies to understand their real data needs.

JOB REQUIREMENT

• Bachelor degree in the field of software engineering, computer science, computer engineering, mathematics and statistics, electrical engineering, or related field.
• Possess minimum 5 years of relevant work experience
• Ability to work independently to translate research ideas into programs with efficient coding
• Basic knowledge on data analytics, machine learning, data mining
• Proficient in Python, Java Script
• Prior industry experience with engineering, financial services, healthcare, or urban development is a plus
• Able to deliver under tight schedule
• Good team player with both research and engineering ethics
• Good interpersonal and communication skills

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

JOB DESCRIPTION:

• Responsible for day-to-day business data management and regular business report preparations, which includes SAP material master maintenance, data integrity checking and statistics.
• Daily monitoring of basic system health and to flag out any inconsistency in API/System functions when found/reported.
• Daily monitoring of system backend jobs and ensure transactional data are interfacing in healthy state with external/internal system.
• To support Business Analytics, extracting and reorganizing original data, dealing with data related issues with other departments.
• Responsible for data preparation, data mining, to create/identify opportunities through analytics, to optimize business objectives.
• Communicate findings and insights to relevant stakeholders in order to assist Manager in making data-driven decisions in KPI assessments.
• Drive continuous improvements /optimization of campaign performance tracking report with business while complying to A*STAR policies.

REQUIREMENTS:

• Bachelor's Degree or Diploma (with at least 5 years or more relevant experience), preferably Business Analytics, Information systems or Computer Science.
• Strong analytical skills, with experience solving problems using data and providing practical business insights.
• Self-Starter with a strong sense of urgency.
• Aptitude to challenge the status quo, think outside the box, and question what has been done.
• Comfortable with dealing with sets of data points from different sources.
• Qualities of matured thinking, dependable and requires minimum supervision.
• Excellent communication skills (oral and written).

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

About Us:

The Bioinformatics Institute at the Agency of Science, Technology and Research is at the forefront of cutting-edge research in the field of bioinformatics, contributing to advancements in drug discovery, clinical diagnostics and therapeutics, biological knowledge creation and beyond. We are seeking a dynamic and experienced Programme Manager to join our team to lead the execution of research programmes across multiple institutes and external entities.

About This Role:

As a Programme Manager at the Bioinformatics Institute within the Agency of Science, Technology and Research, you will play a crucial role in driving the success of our research programmes. This dynamic position requires a blend of strategic thinking, effective communication, and project management skills to ensure the seamless scoping, alignment and execution of cutting-edge projects.

You will be at the centre of action of interdisciplinary collaborations, working closely with research teams, external partners, and stakeholders to advance the field of bioinformatics. This role offers a unique opportunity to contribute to groundbreaking scientific discoveries while navigating the challenges of managing diverse programmes. If you are a motivated and skilled individual with a passion for scientific innovations, this role provides an exciting platform to shape the future of bioinformatics research.

Key Responsibilities:

1. Programme Ownership:
   • Take ownership of research programmes together with the scientific lead, overseeing the entire lifecycle from project formation to execution.
   • Collaborate with research teams in the early phases to assist in proposal scoping and development, funding acquisition, and project initiation.
2. Project Management:
   • Utilize strong project management skills to ensure projects are delivered on time, on target and within resources.
   • Develop and implement project plans, track progress, and proactively identify and mitigate risks, under framework agreements.
   • Work closely with scientific lead to pitch to management and gain required approvals for contract execution and funding.
   • Working with other project managers in the programme to coordinate execution and reporting.
   • Manage multiple programmes concurrently, each at different stages of development, with varying levels of attention required.
   • Prioritize and allocate resources efficiently to meet programme objectives
3. Stakeholder Management:
   • Engage with internal and external stakeholders to build strong relationships and ensure alignment with programme goals throughout programme lifecycle.
   • Effectively communicate project updates, milestones, and potential challenges to stakeholders.
4. Conflict Management:
   • Demonstrate strong conflict resolution skills to address issues promptly and maintain positive team dynamics.
   • Navigate challenges tactfully while keeping the focus on programme objectives.
5. Strategic Partnering and Business Development:
   • Work with the Business Development team to assemble Industrial Stakeholders and Performers across Research Institutes (RI"s) to build a cohesive team for the execution of the programme.
   • Supporting on Strategy and Business Development activities when called upon.

Additional Considerations:

• Collaborative Environment: Foster a collaborative and inclusive work environment, promoting teamwork and knowledge-sharing across diverse research and project teams.
• Adaptability: Demonstrate flexibility in adapting to the evolving needs of research programmes and the institute, contributing to an agile and responsive work culture.
• Continuous Learning: Stay abreast of emerging trends and advancements in bioinformatics and related fields, strategic directions and programmes in A*STAR, integrating new knowledge into programme strategies.
• Budget Oversight: Collaborate with finance teams to monitor programme budgets, ensuring financial sustainability and sufficient resource allocation.
• Independence and Motivation: Self-motivated individual capable of driving projects and programmes independently.
• Strive for Excellence: Uphold high quality of performance, and taking initiatives to identify opportunities for programme improvement and innovation.
• Resourcefulness: Ability to get guidance and support from other job functions and divisions in A*STAR to be position the programme, resolve bottlenecks and ensure smooth execution of the programme.

Qualifications:

• PhD or other advanced degree in bioinformatics, biomedical engineering, life sciences or relevant scientific or management field.
• Proven success in programme and project management, preferably in a research or academic setting. PMP certification is a preferred.
• Strong understanding of bioinformatics and life sciences.
• Excellent written and verbal communication skills.
• Excellent interpersonal skills
• Demonstrated ability to manage multiple stakeholders and conflicting priorities.
• Proficiency in conflict resolution and problem-solving.

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

About Us:

The Bioinformatics Institute at the Agency of Science, Technology and Research is at the forefront of cutting-edge research in the field of bioinformatics, contributing to advancements in drug discovery, clinical diagnostics and therapeutics, biological knowledge creation and beyond. We are seeking a dynamic and experienced Programme Manager to join our team to lead the execution of research programmes across multiple institutes and external entities.

About This Role:

As a Programme Manager at the Bioinformatics Institute within the Agency of Science, Technology and Research, you will play a crucial role in driving the success of our research programmes. This dynamic position requires a blend of strategic thinking, effective communication, and project management skills to ensure the seamless scoping, alignment and execution of cutting-edge projects.

You will be at the centre of action of interdisciplinary collaborations, working closely with research teams, external partners, and stakeholders to advance the field of bioinformatics. This role offers a unique opportunity to contribute to groundbreaking scientific discoveries while navigating the challenges of managing diverse programmes. If you are a motivated and skilled individual with a passion for scientific innovations, this role provides an exciting platform to shape the future of bioinformatics research.

Key Responsibilities:

1. Programme Ownership:
   • Take ownership of research programmes together with the scientific lead, overseeing the entire lifecycle from project formation to execution.
   • Collaborate with research teams in the early phases to assist in proposal scoping and development, funding acquisition, and project initiation.
2. Project Management:
   • Utilize strong project management skills to ensure projects are delivered on time, on target and within resources.
   • Develop and implement project plans, track progress, and proactively identify and mitigate risks, under framework agreements.
   • Work closely with scientific lead to pitch to management and gain required approvals for contract execution and funding.
   • Working with other project managers in the programme to coordinate execution and reporting.
   • Manage multiple programmes concurrently, each at different stages of development, with varying levels of attention required.
   • Prioritize and allocate resources efficiently to meet programme objectives
3. Stakeholder Management:
   • Engage with internal and external stakeholders to build strong relationships and ensure alignment with programme goals throughout programme lifecycle.
   • Effectively communicate project updates, milestones, and potential challenges to stakeholders.
4. Conflict Management:
   • Demonstrate strong conflict resolution skills to address issues promptly and maintain positive team dynamics.
   • Navigate challenges tactfully while keeping the focus on programme objectives.
5. Strategic Partnering and Business Development:
   • Work with the Business Development team to assemble Industrial Stakeholders and Performers across Research Institutes (RI"s) to build a cohesive team for the execution of the programme.
   • Supporting on Strategy and Business Development activities when called upon.

Additional Considerations:

• Collaborative Environment: Foster a collaborative and inclusive work environment, promoting teamwork and knowledge-sharing across diverse research and project teams.
• Adaptability: Demonstrate flexibility in adapting to the evolving needs of research programmes and the institute, contributing to an agile and responsive work culture.
• Continuous Learning: Stay abreast of emerging trends and advancements in bioinformatics and related fields, strategic directions and programmes in A*STAR, integrating new knowledge into programme strategies.
• Budget Oversight: Collaborate with finance teams to monitor programme budgets, ensuring financial sustainability and sufficient resource allocation.
• Independence and Motivation: Self-motivated individual capable of driving projects and programmes independently.
• Strive for Excellence: Uphold high quality of performance, and taking initiatives to identify opportunities for programme improvement and innovation.
• Resourcefulness: Ability to get guidance and support from other job functions and divisions in A*STAR to be position the programme, resolve bottlenecks and ensure smooth execution of the programme.

Qualifications:

• PhD or other advanced degree in bioinformatics, biomedical engineering, life sciences or relevant scientific or management field with at least 5 years of relevant experience.
• Proven success in programme and project management, preferably in a research or academic setting. PMP certification is a preferred.
• Strong understanding of bioinformatics and life sciences.
• Excellent written and verbal communication skills.
• Excellent interpersonal skills
• Demonstrated ability to manage multiple stakeholders and conflicting priorities.
• Proficiency in conflict resolution and problem-solving.

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.