Total 11 Senior Executive science job vacancies in Singapore

SIFBI seeks to appoint a Principal Investigator / Senior Scientist in areas related to food oral processing. Special interests will be on the food oral manipulation, food oral rheology, oral tribology, oral physiology, bolus formation and swallowing, food-saliva interactions, and other emerging topics (i.e. bigdata, AI, and etc) in relation to eating and sensory perception. Once appointed, he/she is expected to conduct independent and experiment-based research and to gradually establish a research team on a topic area of eating and sensory perception.

Jobs Responsibilities:

· To conduct high quality research and to gradually establish a research team on an area of food oral processing.

· To lead new initiatives in research project and grant proposals

· To write up high impact research publications

· To establish strong international links with academic partners

· To actively engage with industry for knowledge transfer and research collaborations

· To mentor and provide support to junior researchers

· To participate team/laboratory management

Job Requirements:

· PhD in food science or other relevant disciplines

· At least 3 years' experience of independent research after PhD

· Strong lab-based research background in food sensory, food physics, food texture, food flavour

· Excellent track record of research publications

· Excellent communication skills (e.g. writing and speaking)

· The candidate should also demonstrate his/her research achievements with an excellent track record of research publications, cases of successful funding, industrial collaborations, and social/economic impacts.

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 Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and retronasal sensation.

Main responsibilities:

• To conduct independent lab-based research
• To design experimental tasks and conduct independent research on mass transfer and retronasal sensation according to the project plan.
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications.

Job Requirements:

• PhD degree in food science, food sensory, food flavour, sensory analysis, oral physiology, or other relevant disciplines.
• Knowledge on sensory receptors, sensory physiology is advantageous.
• An excellent track record of research publications.
• The candidate should also have excellent communication skills and is capable of working together with researchers from other scientific disciplines.

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 Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and retronasal sensation.

Main responsibilities:

• To conduct independent lab-based research
• To design experimental tasks and conduct independent research on mass transfer and retronasal sensation according to the project plan.
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications.

Job Requirements:

• PhD degree in food science, food sensory, food flavour, sensory analysis, oral physiology, or other relevant disciplines.
• Knowledge on sensory receptors, sensory physiology is advantageous.
• An excellent track record of research publications.
• The candidate should also have excellent communication skills and is capable of working together with researchers from other scientific disciplines.

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 Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and instrumental simulation of the process.

Main responsibilities:

• To conduct independent lab-based research on instrumental design and construction
• To design experimental devices and set ups needed for the project
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications

Job Requirements:

• PhD degree in physics, material science, mechanical engineering, or other relevant disciplines of physical science and engineering
• Previous experience in instrument design greatly beneficial
• Knowledge and research experience in food sensory, food flavour, food physics are ideal, but not essential
• An excellent track record of research publications
• The candidate should also have excellent communication skills and is expected to establish collaborations with researchers from other scientific disciplines.

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 Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and instrumental simulation of the process.

Main responsibilities:

• To conduct independent lab-based research on instrumental design and construction
• To design experimental devices and set ups needed for the project
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications

Job Requirements:

• PhD degree in physics, material science, mechanical engineering, or other relevant disciplines of physical science and engineering
• Previous experience in instrument design greatly beneficial
• Knowledge and research experience in food sensory, food flavour, food physics are ideal, but not essential
• An excellent track record of research publications
• The candidate should also have excellent communication skills and is expected to establish collaborations with researchers from other scientific disciplines.

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 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 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 Engineer

The candidate will be part of the team developing a next-generation electrified 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 for electrification.
• Optimise the performance of the simulation.
• Calibrate and validate the simulation model based on real-world transportation dynamics.
• Develop connectors, interfaces, and adapters to facilitate model communication and data interchange.

Education and experience requirements:

• Bachelor’s or Master’s degree in computer science, software engineering, transportation, or related fields.
• Minimum of 5 years of experience in simulation development.
• Experience with system integration or executing phased deployment plans is a plus.

Technical skills:

• Strong proficiency in a wide range of programming languages,including Python, Java, JavaScript, and C++.
• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).

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

• Containerization and orchestration technologies, such as Docker and Kubernetes.
• Digital twins.
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).
• Model pipelining tools (e.g., Airflow, MLflow, Argo).

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 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 Engineer

The candidate will be part of the team developing a next-generation electrified 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 for electrification.
• Optimise the performance of the simulation.
• Calibrate and validate the simulation model based on real-world transportation dynamics.
• Develop connectors, interfaces, and adapters to facilitate model communication and data interchange.

Education and experience requirements:

• Bachelor’s or Master’s degree in computer science, software engineering, transportation, or related fields.
• Minimum of two years of experience in simulation development.
• Experience with system integration or executing phased deployment plans is a plus.

Technical skills:

• Strong proficiency in a wide range of programming languages,including Python, Java, JavaScript, and C++.
• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).

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

• Containerization and orchestration technologies, such as Docker and Kubernetes.
• Digital twins.
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).
• Model pipelining tools (e.g., Airflow, MLflow, Argo).

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.