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.

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.

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.

The Experimental Drug Development Centre (EDDC) is at the forefront of advancing Singapore-discovered therapeutic assets from concept to commercialization. We collaborate closely with multidisciplinary teams of scientists to translate cutting-edge research into innovative healthcare solutions.

Responsibilities:

• Evaluate projects entering EDDC’s portfolio by conducting thorough business due diligence.
• Perform market analysis and continuously monitor the competitive landscape as projects progress within our portfolio.
• Foster strong relationships with local and international scientific and business partners crucial to EDDC's success.
• Lead contractual negotiations and participate in commercialization discussions (e.g., out-licensing, co-development) with third parties in collaboration with A* Innovation & Enterprise and A*STAR Legal.
• Represent EDDC and its projects at meetings with external academic and industry partners.
• Attend international industry partnering conferences to connect with potential pharma and biotech partners, showcase EDDC’s drug discovery efforts, and establish strategic partnerships.
• Assist in refining EDDC’s value proposition for drug co-development and venture creation with local and international entities.

Requirements:

• Degree in biology, biochemistry, or related discipline. With additional qualifications in business administration, finance, or a related field will be a plus. Advanced degree (e.g., MBA, PhD) preferred.
• Proven experience in business development within the pharmaceutical or biotechnology industry, including deal-making and strategic partnerships.
• Strong understanding of drug development processes, market dynamics, and intellectual property considerations.
• Excellent communication, negotiation, and interpersonal skills, with the ability to engage effectively with diverse stakeholders.
• Ability to thrive in a dynamic, collaborative environment and manage multiple projects concurrently.
• Experience managing due diligence (including the use of virtual datarooms) and licensing negotiations will be a plus.

The Experimental Drug Development Centre (EDDC) is at the forefront of advancing Singapore-discovered therapeutic assets from concept to commercialization. We collaborate closely with multidisciplinary teams of scientists to translate cutting-edge research into innovative healthcare solutions.

Responsibilities:

• Evaluate projects entering EDDC’s portfolio by conducting thorough business due diligence.
• Perform market analysis and continuously monitor the competitive landscape as projects progress within our portfolio.
• Foster strong relationships with local and international scientific and business partners crucial to EDDC's success.
• Lead contractual negotiations and participate in commercialization discussions (e.g., out-licensing, co-development) with third parties in collaboration with A* Innovation & Enterprise and A*STAR Legal.
• Represent EDDC and its projects at meetings with external academic and industry partners.
• Attend international industry partnering conferences to connect with potential pharma and biotech partners, showcase EDDC’s drug discovery efforts, and establish strategic partnerships.
• Assist in refining EDDC’s value proposition for drug co-development and venture creation with local and international entities.

Requirements:

• Degree in biology, biochemistry, or related discipline. With additional qualifications in business administration, finance, or a related field will be a plus. Advanced degree (e.g., MBA, PhD) preferred.
• Proven experience in business development within the pharmaceutical or biotechnology industry, including deal-making and strategic partnerships.
• Strong understanding of drug development processes, market dynamics, and intellectual property considerations.
• Excellent communication, negotiation, and interpersonal skills, with the ability to engage effectively with diverse stakeholders.
• Ability to thrive in a dynamic, collaborative environment and manage multiple projects concurrently.
• Experience managing due diligence (including the use of virtual datarooms) and licensing negotiations will be a plus.

Job Description

Clinical Care

• Comply with approved standards of nursing practices
• Provide nursing services requiring specialised nursed skills
• Work closely with the resident’s doctor and multi-disciplinary team to provide care to the residents; update on changes in the residents’ conditions and needs
• Develop care plan for each resident under her/his care and ensure care delivery and nursing interventions are as outlined in the care plan
• Evaluate the resident’s response to care interventions and revise care plan as necessary
• Collaborate with allied health professionals to initiate preventive and rehabilitative nursing procedures
• Conduct and supervise assessments of all new admissions
• Prepare residents’ medical records and ensure all documentations are up to date
• Prepare and administer medications to residents, complying with safe medication practices
• Supervise staff to ensure safe and quality resident care, and in compliance to standards
• Is responsible for the safe keeping of control drugs
• Deal with emergency and incident that arises and ensure prompt action to mitigate situation. Escalate promptly to supervisor, where necessary
• Assist NM/ NC in the supervision, evaluation and disciplining of staff in her/ his team within scope of responsibility
• Promote evidence-based practices on nursing care delivery
• Assist in the plan and coordination of resident’s discharge back to the community

Quality

• Coordinate teamwork in the day-to-day operation of the ward to deliver quality service to residents and families
• Work with team to maintain a safe and clean ward environment
• Work with NM/ NC to conduct quality assurance activities to monitor and evaluate the quality and appropriateness of nursing care
• Ensure team members are familiar with the Standard Operating Procedures (SOP) and all emergency protocols
• Assist NM/ NC in quality assurance activities to monitor and evaluate the quality and appropriateness of nursing care, and implement action plan to close gaps identified or for improvements
• Participate in quality improvement initiatives and continuous improvement projects
• Assist NM/ NC to maintain systematic inventory control of assets and drugs to achieve optimal utilisation and safe storage

Training and Development

• Participate in training and development of staff
• Assist in regular and on-going assessment of nursing staff competencies to ensure achievement of targets set and/or expected competency levels
• Ensure newly joined enrolled nurse, nursing aide, health care assistant and health attendant are oriented and inducted to provide safe care to residents
• Assist the NM/ NC in identifying, planning and making decisions to meet training and developmental needs of nursing and ancillary staff

Administration

• Utilise performance management and counselling skills effectively to motivate staff to perform at their optimal level and ensure care delivered is in compliance to standards of practice
• Ensure the safe storage of all confidential files, records, documents; and that residents confidentiality is maintained at all times
• Ensure that effective and cooperative working relationships are maintained within the Nursing Department and between internal and external customer groups
• Maintain an inventory list of ward equipment and ensure regular preventive maintenance is carried out as needed
• Plan roster and involve in manpower deployment when needed
• Deputise NM/ NC in her absence

Job Requirements

• 3 years or more relevant nursing experience
• Fresh graduates are welcome to apply
• Minimum Diploma in Nursing or in related field
• 5 days work week, rotating off days
• Only require to work morning or afternoon shift

Job Description

Clinical Care

• Comply with approved standards of nursing practices
• Work closely with the resident’s doctor and multi-disciplinary team to provide care to the residents; update on changes in the residents’ conditions and needs
• Assist staff nurses (SN) to develop care plan for each resident and ensure care delivery and nursing interventions are as outlined in the care plan
• Assist in the evaluation of the resident’s response to care interventions and revision of care plan if necessary
• Assist in the assessments of all new admissions
• Prepare residents’ medical records and ensure all documentations are up to date
• Prepare and administer medications (oral and subcutaneous) to residents, complying with safe medication practices (only for those who have been assessed competent in the administration of oral and subcutaneous medicine)
• Supervise junior staff to ensure safe and quality resident care, and in compliance to standards
• Deal with emergency and incident that arises and ensure prompt action to mitigate situation. Escalate promptly to staff nurse/ supervisor, where necessary

Quality

• Work with team to maintain a safe and clean ward environment
• Participate in Quality Assurance/ Infection Control Committee to monitor and evaluate safe, quality and appropriateness of nursing care
• Participate in quality improvement initiatives and continuous improvement projects
• Is responsible to be familiar with the Standard Operating Procedures (SOP) and all emergency protocols

Training and Development

• Participate in training and development of junior staff
• Ensure newly joined nursing aide, health care assistant and health attendant are oriented and inducted to provide safe care to residents

Administration

• Ensure the safe storage of all confidential files, records, documents; and that residents confidentiality is maintained at all time
• Ensure that effective and cooperative working relationships are maintained within the Nursing Department and between internal and external customer groups
• Assist in maintaining an inventory list of ward equipment and regular maintenance
• Assist to plan roster and do manpower deployment when needed
• Assume the role of Overall in charge in the absence of RN maintenance

Job Requirements

• 3 years or more relevant nursing experience
• Fresh graduates are welcome to apply
• NITEC in Nursing or in related field
• 5 days work week, rotating off days
• Only require to work morning or afternoon shift

Project Overview

We are seeking a Postdoctoral Associate, to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.

Requirements

-Ph.D. in Social Science (such as Psychology, Sociology, Political Science, and Economics), Computer Science (e.g., with a focus on Human-Computer Interaction), Management, Organizational Behavior, Philosophy, Journalism, or other related fields by the start of the appointment.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

-Strong publication record in top-tier conferences and journals.

-Familiarity with statistical data analysis tools and techniques.

-Excellent communication and collaboration skills.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

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

Responsibilities

• Plan and provide nursing care to meet the patients' needs
• Maintain accurate and up-to-date documentation of patients, treatments and conditions
• Assist in supervision of junior nurses and ancillary staff

Requirements

• Registered with the Singapore Nursing Board
• Minimum 1 year’s ward experience
• Good interpersonal skills, with the ability to relate well to people of all levels
• Able to perform shift duties

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.

Job Description & Requirements

• The Enrolled Nurse is responsible for the provision of a high standard of nursing care to residents. He/ She works under the supervision of the SSN/SN.
• Perform resident’s Health Assessment and Reassessment.
• Provision of/Assist in resident’s activities of Daily Living
• Participate in the provision of Care Management of the residents.
• Participate in the provision of Infection Control and Resident’s Safety of the residents.
• Ensure clear communication, teamwork and service skills to all partners/collaborated partners in the healthcare/allied healthcare team to facilitate prompt and quality standard of care for the resident to promote good quality of life or end of life care.
• Practices critical thinking and problem solving skills when recognizing problems, making clinical decision/s in accordance to professional standards and scope of practices.

Requirements:

• Professional license to practice nursing in Singapore.
• Accredited School of Nursing /ITE

Job Descriptions:

• Provides good practical skills and to lead a team of patient care assistants and health attendants in area assigned to.
• Provides good individual patient care and services with regards to specific nursing competencies such as doing dressings and cannulating patients.
• Displays confidence and well-versed in briefing patients prior to all radiation therapy procedures such as cannulation, CT simulation, radiation therapy treatment and post treatment.
• Displays competency in providing timely nursing advice to patients and family members.
• Assist radiation oncologists in consultations and be competent in necessary procedures.
• Offers good teamwork and be part of a radiotherapy team in the deliverance of safe and accurate support of treatment to patients within the radiotherapy department.
• Maintain and upkeep equipment and supplies such as emergency trolley, oxygen cylinders, surgical supplies, stationery and blankets.
• Coach new enrolled/ staff nurses and nursing students in learning activities.
• Ensure that high alert medications are properly stocked and stored.
• Maintain and upkeep cleanliness of the consultation rooms and work areas.
• Be knowledgeable in disposal of all matters of waste including sharps, biohazard waste and general waste.
• Contributes actively in the improvement and upgrading of holistic treatment care.

General:

• Liase with department manager, radiation oncologists, therapists and other relevant staff to facilitate ongoing departmental processes such as patient scheduling and inpatient status.
• Manages and keeps track of patients’ laboratory and imaging studies results.
• Provides proper guidance to junior personnel assigned.
• Discharges any other duties as assigned by supervisors and/ or senior manager.
• Participates in continuing education, improvement and other activities of the department.
• Adheres to the Code of Practice with regards to Nursing Board at all times.

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

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.

Please apply here: https://talent.sage.hr/jobs/12fc69c2-7012-4edc-b214-bb9c2ded1da2

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for IC Design Research Engineers with the following backgrounds:

- Digital IC Design

- Analog IC Design

As an IC Design Research Engineer, you will design and innovate secure circuits and systems for next-generation low-power IoMT devices and sensors, focusing on hardware security, and smart computing and connectivity platforms.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for.

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

Please apply here: https://talent.sage.hr/jobs/8e073ef4-d42b-4457-a8d7-d0d491627bad

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Wet Lab Specialists with the following backgrounds:

- Biomedical sensor design and fabrication

- Electrochemistry

- Biomedical Engineering

- Wet lab experience with regard to protein and small molecule assays

- Translational and regulatory expertise in medical devices

As a Wet Lab Specialist, the successful candidate will contribute to the programme by developing novel biosensors that are secure by design, and work toward translating the devices into clinical practice to drive the future of personalised medicine.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for.

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.