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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated candidate with a strong research background in computational catalysis, particularly Density Functional Theory (DFT), Molecular Dynamics (MD), Machine Learning (ML) and be able to lead their own research while collaborating with other team members.

The successful candidate will work with Asst. Prof. Pengfei Ou on Computational Catalysis under a project on "Accelerated Discovery of Catalytic Materials" to contribute to the discovery of new catalytic materials and next-generation catalysts.

Qualifications / Discipline:

- A PhD in Chemistry, Materials Science and Engineering, Chemical Engineering, Physics, or a closely related field.

Skills:
- Preference will be given to candidates with a strong research background in computational catalysis, computational materials science, AI/ML, DFT calculations, and (ab initio) MD simulations.
- Machine learning experience and a strong proficiency in Python programming and data analysis.

Job Description:

We are seeking a highly skilled and motivated Research Officer specializing in AI and spatial multi-omics to join our cutting-edge research team. This role focuses on advancing cancer immunotherapy (IO) for Asian-prevalent tumors through the integration of Generative AI techniques and spatial multi-omics data analysis. This position offers a unique opportunity to address critical challenges in immunotherapy, such as the identification of effective biomarkers and an in-depth understanding of the tumor microenvironment.

Key Responsibilities:

1. Multi-Omics-IO Classifier Development: Develop and validate a classifier to integrate IO biomarkers identified from the multi-omics analyses, benchmarked against conventional markers (e.g., PD-1/PD-L1).

2. AI Model Development: Create AI models for virtual staining to visualize gene expression and multi-omics biomarkers.

3. Collaboration & Reporting: Collaborate with pathologists, immunologists, and AI researchers to ensure robust, clinically relevant model development. Prepare reports, presentations, and manuscripts for publication.

Requirements:

• Bachelor degree in AI/ML, or a related field with a strong focus on imaging and deep learning.
• Technical Skills: Expertise in AI techniques and experience in omics data analysis.
• Strong programming skills in Python or R, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow).
• Domain Knowledge: Familiarity with cancer immunotherapy and biomarker development.
• Analytical Skills: Proven experience in developing and evaluating complex machine learning models, especially for biomarker discovery and clinical applications.
• Collaboration & Communication: Excellent interpersonal and communication skills to work effectively within a multidisciplinary team of scientists, clinicians, and technical staff.
• Preferably with experience with virtual staining, explainable AI, and histopathological analysis. A track record of publications in high-impact journals and presentations at scientific conferences. Prior experience in developing and applying AI models in healthcare or clinical settings is a plus.

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 Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on A*STAR LCERFI research project entitled “Methane Pyrolysis for Hydrogen and Carbon Nanotube Production via Novel Catalytic Membrane Reactor System”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.

• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

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 / Research Engineer in the Department of Computer Science, School of Computing (SoC). SoC is 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 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 / Research Engineer will be responsible for working closely with the Principal Investigator and lab members on topics of “Automation of Threat Detection in Security Operation Centers (SOCs)”. He/she should possess experience or interest in the following research areas:

· Security Information and Event Management (SIEM) system

· Large Language Models

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Good publication record: and
• Experience in research.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Job Title: Research Fellow in Spatial Epidemiology

Location: Singapore

The Saw Swee Hock School of Public Health at the National University of Singapore (NUS) seeks a highly motivated and skilled Research Fellow to join an interdisciplinary research project on surveillance for zoonotic and vector-borne diseases in changing environments (SENSOR Project). This project focusing on emerging diseases in Borneo and is conducted in collaboration with an international consortium of universities in Malaysia, Singapore and the UK. This position offers the opportunity to work on ground-breaking research projects in the broad areas of environmental change, infectious disease surveillance, spatial epidemiology, machine learning and global health.

Key responsibilities:

• Conduct high quality research in epidemiology, machine learning and/or meta-analyses to identify impacts of environmental change on infectious disease dynamics and design targeted surveillance approaches;
• Develop and implement statistical methods, computational models and/ or machine learning algorithms to analyse environmental and infectious disease data;
• Collaborate with multidisciplinary teams of researchers, including epidemiologists, biologists, environmental scientists and policy makers;
• Present research findings at national and international conferences and publish results in peer-reviewed scientific journals;
• Support design of field studies in collaboration with international partners;
• Assist in the supervision and mentoring of graduate students and junior researchers; and
• Contribute to grant proposals and progress reports for funding agencies.

Qualifications:

• A PhD in a relevant field such as epidemiology, geography, computer science or a related discipline;
• Strong background in any one of machine learning, infectious disease modelling, epidemiology, quantitative environmental science or ecology, remote sensing or a related field;
• Proficiency in programming languages such as R or Python;
• Experience with machine learning or statistical methods applied to public health and/ or environmental challenges;
• Interest in climate and environmental change and infectious disease dynamics;
• Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences;
• Demonstrated ability to work effectively in a multidisciplinary team and independently; and
• Track record of publications in peer-reviewed journals.

Review of applications will begin immediately and continue until the position is filled. The anticipated start date is February 2025, but this is negotiable. The initial appointment will be for one year, with the possibility of renewal based on performance.

NUS is an equal-opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, age, national origin, or disability.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

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 aim to develop advanced AI models for creating cardiac digital twins, i.e., personalized virtual heart models. We will employ the dataset (imaging, ECG, electronic medical records, etc) collected from patients, to accurately modelling the anatomy and simulate the function of patients' diseased hearts. These models, coupled with machine learning techniques, contribute to the identification of crucial mechanistic relationships and features that offer insights into the trajectory of a patient's heart condition. The research will delve into the intersection of AI and cardiac sciences, exploring novel approaches to revolutionize our understanding of the human heart. With the potential to impact medical treatments and technology advancements, it promises an exciting and important avenue for personalized medicine. We will collaborate with a multi-disciplinary team, including academics/ experts from NUS, University of Oxford, University of Southampton, Imperial College London, Fudan University, etc.

The selected Research Assistant will be required to:

• Collect, preprocess, and analyze clinical data.
• Develop neural surrogate model for efficient cardiac simulation.
• Write well-documented code for experiments, ensuring reproducibility and efficiency.
• Write and submit research articles to top-tier peer-reviewed journals and conferences.

Qualifications

• Possess a recognised bachelor’s degree in biomedical engineering, computer science, data science, applied statistics/ mathematics, or any-related field.
• Strong problem-solving abilities and learning capability.
• Proficiency in programming (Python, C++, etc)
• Strong written and spoken communication and comprehension and able to present results clearly.
• First-authored relative publication in top-tier journals and conferences are preferred.
• Being self-motivated and enthusiastic about AI for healthcare.
• Open to fixed-term contract.

The successful candidate will be a member of a translational team investigating and designing RNAi therapeutics for various epithelial disorders.

Responsibilities:

• Involvement in projects related to epithelial disorders.
• Perform wet lab experiments using techniques in molecular biology including immunohistochemical analysis, in situ hybridization and microscopy.
• Perform husbandry and genotyping of the laboratory’s mouse colony.
• Provide laboratory maintenance support and procurement activities.

Requirements:

• Bachelor’s degree in Life Sciences/Biomedical Sciences/Biological Sciences or related fields
• Experience in a laboratory environment.
• Willing to work with mouse models; prior experience is a plus.
• Excellent organizational and interpersonal skills and attention to details.
• Excellent oral and written communication skills.
• Highly motivated and passion for research.

Responsibilities

• Plan, support and implement approved programmes and services of the DAC.
• Ensure that DAC rules pertaining to personal safety, work hazards and prescribed training procedures are adhered to by staff and clients.
• Maintain and develop proper system of administration of client’s ICP; attendance and training programme records; and other administrative records in accordance to the Programme Evaluation System / Best Practice Guidelines.
• Ensure the welfare of clients, referring any inappropriate client behaviour or welfare needs to the appropriate professional service for intervention.
• Liaise with parents/guardians of clients pertaining to the clients’ management.
• Ensure that volunteers are working towards the organizational interest, objectives and goals.
• Maintain good public relations and uphold the image of the Association.
• Work as a team and participate positively and actively to ensure quality service delivery that is in line with the mission, goals and objectives of the Association.

Requirements

• Have relevant Diploma or ‘A’ Level.
• Have good organization skills.
• Have a compassionate and patient personality.
• Certified training in Social Services or Disability Studies is an added advantage.
• Experience in working with persons with special needs is an added advantage.
• A Heart to serve in the special needs sector

Working Location: 65 Pasir Ris Drive 1 Singapore 519529

HYCOMBS Project is seeking a highly motivated and talented Research Fellow to join the project, a research initiative focused on advancing combustion science and technology for gas turbines and internal combustion engines in Singapore.

The successful candidate will be based in Singapore and contribute to Work Package 2.1, “Laminar H2/NH3 flames”, led by Dr. Ducruix and Dr. Minesi.

HYCOMBS PROJECT

HYCOMBS: Hydrogen and Ammonia Combustion in Singapore

In the future, Singapore may be importing renewable energy in the form of hydrogen (H2) or ammonia (NH3). These zero-carbon fuels will require the development of new gas turbines (GTs) and internal combustion engines (ICE) used in power generation, aviation, and maritime propulsion.

This project focuses on the combustion fundamentals of hydrogen, ammonia, their blends, and their blends with hydrocarbon fuels. The knowledge acquired in HYCOMBS will enable the penetration of zero-carbon fuels in the Singapore energy system and this will benefit Singaporean industries and residents.

Read more about the HYCOMBS project here.

DESCRIPTION

The HYCOMB project aims to develop a deeper understanding of hydrogen/ammonia combustion phenomena and improve the efficiency, stability, and environmental sustainability of gas turbines and internal combustion engines. As a Postdoctoral Researcher in WP2.1, you will play a key role in deploying advanced diagnostics to study laminar H2/NH3 flames, a crucial step towards understanding combustion instability and pollutant formation.

Responsibilities

• Design, develop, and operate a burner for laminar flame experiments, compatible with high-frequency diagnostics
• Conduct experiments on steady and pulsated laminar H2/NH3 flames using spontaneous emission of radicals (OH*, NH*) and laser absorption spectroscopy of stable species (NH3, H2O, N2O)
• Modulate injection conditions to induce controlled fluctuations of velocity, which will drive the oscillation of heat release, pollutant formation, and other quantities of interest
• Measure local flow conditions using Particle Image Velocimetry (PIV) to correlate flame behavior with flow strain
• Collaborate with other partners to implement laser absorption spectroscopy in other rigs and validate kinetic schemes and simulations (WP1)
• Contribute to the development of laser absorption spectroscopy diagnostics for online detection of combustion efficiency, ammonia slip, and N2O pollutant emissions

EXPERIENCE & QUALIFICATIONS

Requirements

• Ph.D. in Combustion Science, Physics, Chemistry, or a related field
• Strong background in experimental combustion, flame diagnostics, and data analysis
• Experience with optical diagnostics (ideally laser-induced fluorescence and absorption spectroscopy, but not required)
• Excellent communication and teamwork skills, with the ability to collaborate with international partners
• Fluency in English (written and spoken)

Desirable Qualifications

• Knowledge of combustion kinetics and modeling
• Experience with particle image velocimetry (PIV) or other flow measurement techniques

FURTHER INFORMATION & CONTACT

Salary range: SGD 6,900 – SGD 10,000 (depending on suitability and experience)

• A 3-year postdoctoral research position
• Visit in laboratoire EM2C (France) for a training on optical diagnostics
• The opportunity to work on a cutting-edge, interdisciplinary project with international partners
• Access to state-of-the-art experimental facilities and diagnostics in Singapore
• Collaboration with leading researchers in the field of combustion science
• Opportunities for professional growth, networking, and publication in top-tier journals

Workplace address: The applicant will be a CNRS@CREATE appointee (CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602), and work on CREATE Campus.

To apply, please submit your CV, a cover letter outlining your research experience, and contact information for two academic references. Applications will be reviewed until the position is filled: [email protected] and [email protected]

Job duties and responsibilities :

We invite brilliant minds in computer science to join us at the cutting-edge of cancer genomics research, harnessing the power of artificial intelligence or classical algorithms. Your job will involve either the development of new algorithms or deep learning models focusing on understanding cancer genomes. The focus will be on de novo genome assembly methods for reconstructing cancer genomes or developing new generative RNA/DNA/epigenome/epitranscriptome foundation models.

The duties include working with PhD students and ROs, helping write grant proposals, and managing projects.

Job Requirements :

Essential experience and skills:

• You have a PhD in computer science, math of physics
• You are experienced in deep learning or classical algorithms
• You are experienced in Pytorch for deep learning or C/C++ or Rust for classical algorithms
• You have an active interest in understanding the biology
• At least one first-author publication or preprint from your PhD and/or MSc work.

Desirable experience and skills:

• Experience with bioinformatics methods and tools for (a) variant calling, and/or (b) de novo assembly and/or (c) long read sequencing analysis;
• Proficiency in Python, and genomics and machine learning libraries therein.
• Keen interest in programming, algorithm development, mathematics, complexity, and puzzles.
• Two or more first-author publications and/or preprints from your PhD and/or MSc work.

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 Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on Shell research project entitled “Integrated Catalytic Plasma and Membrane Design for Low-Temperature High-Value Olefins Production from Light Hydrocarbons”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.
• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

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

As a Research Assistant in Urban Planning Algorithms, you will be responsible for developing innovative algorithms and formulations to address complex urban planning problems. You will work closely with urban planners, data scientists, and other stakeholders to understand the practical constraints and challenges faced in urban planning. Your role will involve:

• Developing and refining algorithms and mathematical formulations to solve urban planning problems, such as traffic flow optimization, land use allocation, and resource distribution.

• Analyzing and interpreting data from various sources, including geospatial data, demographic information, and transportation networks, to inform algorithm development.

• Collaborating with interdisciplinary teams to ensure that algorithms are practical, scalable, and aligned with the goals of urban planners

• Implementing and testing algorithms using appropriate software tools and programming languages, such as Python or R.
• Documenting your work and presenting findings to stakeholders, including urban planners, policymakers, and the public.

Qualifications

To be successful in this role, you will need to have a strong background in computer science, mathematics, or a related field, with a focus on algorithm development and optimization. Additional qualifications include:

• Proficiency in developing and refining algorithms and mathematical formulations to solve complex problems.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Proficiency in programming languages such as Python, MATLAB, or R, and experience with software tools for algorithm implementation and testing.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders and present findings effectively.
• A commitment to collaborative work and the ability to work effectively in interdisciplinary teams.
• A Bachelor’s degree in Computer Science, Mathematics, Operations Research, or a related field

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Position – Senior Scientist in Lead Optimization Unit

CPR is seeking for a scientist with expertise in protein engineering.

Job requirements

The applicant should be highly skilled in at least one of the following areas:

• Strong and proven expertise in structural biology and molecular biology for protein structure/function investigation.
• Advance knowledge in protein and/or antibody engineering, including but not limited to rational or random mutagenesis engineering approach.
• Expertise in protein biochemistry, protein expression, purification, and characterization.
• Strong organizational skills to deal with large amounts of data and excellent communication and collaborative skills, as well as a team player mindset for working with cross-functional multi-disciplinary teams.
• Knowledge and skill of high-throughput system, automation, and/or general scripting language is a plus but not a must.
• Knowledge and skill of cell biology, biophysics or immunology is a plus but not a must.

The applicant must have completed and be awarded with a relevant Ph.D. degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Information science with 1-2 years of working experience in a related field. In addition, the successful candidates must be able to demonstrate technical expertise in areas which may include molecular biology, cell biology, protein chemistry and protein engineering as evidenced by projects, presentations, or peer-reviewed scientific publications.

As frequent communication and liaison is expected between both the Singapore and Japan office, you should possess an excellent command of both spoken and written Japanese and English languages.

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking an enthusiastic PhD. candidate who can perform experiments (e. g., e-beam lithography, photo-lithography, top-down fabrication techniques, design/building optical characterization setups) and numerical simulations (e.g., FDTD, RCWA, and so on).

Qualifications

• Possess a Ph.D. Degree in either Electrical or Mechanical Engineering.
• Qualified experimental, simulations 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

This project will study and propose feasible solution to retrofit existing coastal protection structures. Special feature of this proposed solution is that it must be able to reduce seawater seepage, using innovative way of impervious material. The solution must also be modular in nature, such that it can be stack onto the existing seawall or the previously installed layer.

This research fellow will help the PI and Co-PI in overseeing the project in general and help in drafting the reports. In particular, he/she is responsible for
• design and executive of centrifuge testing in this project.
• Design a wave generation inflight in centrifuge model.
• Model the impermeability of the new proposed modules, and its connection with the existing seawall.
• Data interpretation and summary the laboratory tests, arrive at some key findings on the future design.

Job Requirements

• Possess a PhD degree in relevant filed.
• Strong in basic geotechnical knowledge.
• An independent researcher.
• Strong in basic geotechnical knowledge.
• Familiar with geotechnical FEM modelling software and their applications.
• Able to analyse test data.
• Able to draft sound technical report.
• Highly motivation in doing research work.
• Innovative in thinking.
• Able to work in a team.
• Strong communication ability; written and spoken and able to present research findings.
• Open to fixed-term contract.

Responsibilities:

• Supporting the Vessel Manager in purchasing spare parts & consumables for ships
• Responsible for document control (e.g. maintain check list of periodic reporting due from vessel)
• Keeping record of the technical operating costs
• Maintain up to date records of all the vessels manuals, drawings & instruction books
• Assist in arranging routine vessel repairs
• Assisting Technical Superintendent with daily operations of the vessels
• Train, monitor and guide junior technical officers on company’s purchasing policy / procedure, company tools and EyeShare of outstanding invoices etc

Requirements:

• Minimum 8 years of working experience in a ship management, ship owning company or purchase department
• Proficient in Microsoft Office applications
• Meticulous and able to work under pressure
• Knowledge of ShipNet software system will be an advantage

Please send your application with availability, current & expected salary.

We regret that only shortlisted candidates will be contacted.

Who are we?

We are the University of Cambridge research centre in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. Health-driven design for cities (HD4) is a collaborative research programme between the University of Cambridge, Nanyang Technological University and National University Singapore within Cambridge CARES.

HD4 sits at the heart of Singapore’s global research and development hub and paves the way for a sustainable and healthy city. It will undertake research in the following key areas: characterising the features of the environment that potentially impact health in Singapore; understanding the links between environmental factors, individual behaviour and health outcomes; observing the impact of environmental change on health in Singapore; simulating the impact of potential changes on the health of Singaporeans; and working with government agencies to co-develop data-rich public health tools.

The scientific techniques, technologies, tools and most importantly the knowledge gained through the programme will create a comprehensive systems view of how the urban environment affects population health in Singapore. The programme will train and enrich the talent pool of next generation of researchers, and benefit from local and international expertise and an innovative interdisciplinary research ecosystem. It will provide the basis for a data-rich public health framework, supporting the development of a healthy Singapore.

Who are we looking for?

We are seeking a highly skilled and motivated Transport Modeller to join our project, HD4. Working collaboratively with a team of population health scientists, geospatial scientists, and data engineers, the post holder will lead on building an agent-based simulation model for Singapore. This role requires a multi-skilled individual that can work collaboratively in a multidisciplinary team environment.

Key Responsibilities:

· Collaboration: Work closely with researchers to understand the data needs of the programme and contribute to the design of scientifically robust and policy relevant models linking transport, the built environment, and health outcomes

· Data synthesis: Collaborate with the data engineer and geo-spatial scientists to run simulations within a temporally and spatially detailed network

· Model building: Build operational agent based behavioural models covering vehicle ownership, trip generation, mode choice, destination choice, and route choice for diverse population groups.

· Validation: Ensure model robustness through checking, calibration, and validation.

· Support: Provide technical support and training to researchers.

· Documentation: Create and maintain comprehensive documentation for model development. Support project reporting.

· Innovation: Stay updated with the latest advancements in transport modelling to incorporate new technologies and methodologies.

What skills will you need?

· Education: PhD degree in a relevant field.

· Experience: Proven experience in agent-based transport modelling.

· Skills:

1. Expertise in econometric travel behaviour modelling
2. Practical experience of simulation model building, calibration, and validation
3. Understanding of land use transport interaction models
4. Experience with agent-based network assignment models such as MATSim
5. Proficiency with spatial analysis tools, databases, and libraries (e.g., PostGIS) and programming languages (e.g., Python, R) for GIS applications.
6. Proficiency in programming languages such as Java.
7. Interest in built environment influences on health behaviours and exposures and health disparities
8. Experience of working with at least one health related pathway e.g. air pollution, physical activity, greenspace, noise, or diet

· Communication: Excellent oral and verbal communication skills.

· Teamwork: Ability to work collaboratively in a multidisciplinary team environment.

· Preferred Qualifications:

1. Experience with version control systems (e.g., Git).
2. Knowledge of software development methodologies and best practices.
3. Familiarity with remote sensing and GPS technologies.
4. Experience working with sensitive (e.g., personally identifiable) data.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A comprehensive medical insurance cover as part of your employment.

· Opportunity to work as part of a world-leading scientific research programme.

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-transport-modeller-ai-researcher-for-hd4-jw. If you have any questions, please feel free to reach out to the HR team 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

We are seeking for suitable Research Fellow who is interested to work with Dr Prateek Bansal's research group at the National University of Singapore (NUS). The project involves understanding preferences for Mobility-as-a-Service (MaaS), estimating its effect on public transport, and quantifying system-level emission impact of MaaS.

The candidate will be responsible for:

• In-depth review of the literature.
• Designing and conducting stated preference experiments
• Developing and estimating discrete choice models
• Devising optimization-based approaches for system-level MaaS design by integrating results from discrete choice models.
• Creating an agent-based model to simulate the emission impact of MaaS

The successful applicant is expected to pursue independent as well as collaborative research and must be willing to participate in writing grant proposals and supervising doctoral/postgraduate research students.

Job Requirements

• Possess a PhD degree in Travel behaviour, Management, Economics, Statistics, Psychology or related disciplines.
• Has good understanding of discrete choice experiments and model estimation,
• Has strong background in optimization methods.
• Is proficient in programming econometric models in R, Python, or MATLAB.
• Strong written and spoken communications.
• 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

• The appointee is expected to work in Professor LAIN JONG Li’s research group and participate in a large-scale collaborative research with other groups in the University.
• The main research focus is to develop advanced electronics devices based on 2D semiconducting and insulating materials. The capability to initiate collaborative projects with researchers all over the world will be an advantage.
• The appointee may need to contribute to the teaching of courses in Materials Science and Engineering.
• The candidate is also expected to apply for research funding and supervise research postgraduate students.

Qualifications

• Applicants should possess a relevant PhD degree in Electronics Engineering or a related field with 3 or more years’ postdoctoral research experience
• Prior publication track records in electronic devices and low-dimensional materials will be a must.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and , efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

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.