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.

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].

SingVet has expanded with a new branch at Beauty World. We are seeking dynamic individuals who align with our progressive, inclusive, and supportive culture.

Our clinic offers a range of services including consultations, surgeries (including orthopaedics), and hospitalization. We are closed on public holidays. Our facilities are equipped with advanced technology such as digital radiography with fluoroscopic capabilities, an esotate ultrasound machine, an in-house IDEXX suite (Hematology, biochemistry, SNAP tests), tonometry, PETMAP blood pressure machines, and a well-equipped surgery room.

Ideal candidates should have a genuine passion for animal care and be able to thrive in a fast-paced environment. We provide comprehensive training and mentorship for junior nurses. While prior experience is beneficial, it is not required. A minimum diploma holder required.

Apply now to be part of our growing team and contribute to our commitment to exceptional animal care!

Email CV to [email protected]

Only successful candidates will be notified.

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 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.

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

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

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.

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.

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.

A*STAR is spearheading a series of Strategic Research & Translational Thrust (SRTT) that harnesses its multidisciplinary expertise to undertake a focused research mission. Operating as a cross-A*STAR initiative, SRTTs are geared at delivering impact and outcomes in specific thematic areas. Led by the A*STAR Research Office (RO), SRTTs will be actively managed where the SRTT Programme Directors and research team members will be provided dedicated central support.

Under the newly established Central Initiative Administration (CIA), A*STAR is recruiting a Senior Associate/Assistant Manager for Administrative Support for all RO and SRTTs activities.

Roles and Responsibilities:

Reporting to the SRTT Director Corporate Services (DCS) to support the RO and SRTTs administrative activities, the role includes but not limited to:

1. General Administrative Support:

• Provide day-to-day administrative support.
• Handle correspondence, prepare documents, and manage office communications.
• Handle Procurement / Finance related matters, e.g., Raise budget memo for approval, raise purchase requests, goods receiving etc.
• Perform filing, data entry, and maintenance of office records.
• Any other administrative duties assigned.

2. Calendar Scheduling:

• Manage and coordinate calendars for RO, SRTT CIA and SRTT Central Initiative Directorates (CID) based on event requirements.
• Schedule meetings, appointments, and conference calls.
• Resolve scheduling conflicts and ensure timely reminders.

3. Travel Arrangements and Booking:

• Book flights, accommodations, transportation, and other travel-related services for work trips for visiting scientists, Advisory board members, senior management and staff.

4. Event Organization and Logistic Support:

• Support in the planning and organization of events, meetings, and conferences for all RO and SRTT activities.
• Provide logistic support for events, including registration and ushering.
• Coordinate the setup of event venues, manage attendee lists, and any other required tasks to ensure a smooth flow of activities.

Job Requirements:

• Degree, any discipline with at least 5 years of professional experience in an administrative or office management role.
• Able to leverage on digital dashboards for monitoring and tracking (Power BI, tableau etc.) will be a plus.
• Good communication (written and verbal) and interpersonal skills for good relationship management.
• Good analytical and problem-solving skills, resourcefulness, attention to detail, and good team player.
• Proficient in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint) and able to present information in a logical manner.

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

Job Overview:

We are looking for an individual with a passion for science who is highly motivated. A successful candidate will be part of a dynamic team of researchers working at the forefront of quantum technologies. In this position, you will be a member of Quantum Photonics and Information group and mainly work on continuous variable (CV) based on quantum information technology.

In this role, you will work on the following but not limited to:

• Development of high-performance sources to generate squeezed light.
• Characterizing the squeezed light.
• Continuous variable (CV) quantum information.
• Large cluster state generation & characterization.
• Collaborate with other group members to exploit the advantages of CV quantum systems in various applications.
• Quantum metrology & sensing.
• Data processing, programming, and automation of lab setups.
• Scientific dissemination (journal papers, conferences, and patents)

Job Requirements:

• PhD degree in physics/optics, or closely related fields
• Candidate with relevant experience or PhD training experience are welcome to apply.
• Substantial hand-on experience in experimental research in quantum optics and quantum information is advantageous.
• Familiarity with laboratory equipment for quantum optics experiments, including lasers, optical components, and detectors.
• Excellent written and verbal communications skills.
• Ability to present research findings clearly and concisely.
• A passion for pushing the boundaries of quantum science and technology and a desire to contribute to ground breaking research.
• Self-motivated and passionate on research work
• Able to independently plan and execute research work
• Good team player
• Possess good critical thinking and problem-solving skills.

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

About Us:

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

About This Role:

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

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

Key Responsibilities:

Programme Ownership:

• Take ownership of research programmes together with the scientific lead, overseeing the entire lifecycle from project formation to execution.
• Collaborate with research teams in the early phases to assist in proposal scoping and development, funding acquisition, and project initiation.

Project Management:

• Utilize strong project management skills to ensure projects are delivered on time, on target and within resources.
• Develop and implement project plans, track progress, and proactively identify and mitigate risks, under framework agreements.
• Work closely with scientific lead to pitch to management and gain required approvals for contract execution and funding.
• Working with other project managers in the programme to coordinate execution and reporting.
• Manage multiple programmes concurrently, each at different stages of development, with varying levels of attention required.
• Prioritize and allocate resources efficiently to meet programme objectives

Stakeholder Management:

• Engage with internal and external stakeholders to build strong relationships and ensure alignment with programme goals throughout programme lifecycle.
• Effectively communicate project updates, milestones, and potential challenges to stakeholders.

Conflict Management:

• Demonstrate strong conflict resolution skills to address issues promptly and maintain positive team dynamics.
• Navigate challenges tactfully while keeping the focus on programme objectives.

Strategic Partnering and Business Development:

• Work with the Business Development team to assemble Industrial Stakeholders and Performers across Research Institutes (RI"s) to build a cohesive team for the execution of the programme.
• Supporting on Strategy and Business Development activities when called upon.

Additional Considerations:

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

Qualifications:

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

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

About Us:

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

About This Role:

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

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

Key Responsibilities:

Programme Ownership:

• Take ownership of research programmes together with the scientific lead, overseeing the entire lifecycle from project formation to execution.
• Collaborate with research teams in the early phases to assist in proposal scoping and development, funding acquisition, and project initiation.

Project Management:

• Utilize strong project management skills to ensure projects are delivered on time, on target and within resources.
• Develop and implement project plans, track progress, and proactively identify and mitigate risks, under framework agreements.
• Work closely with scientific lead to pitch to management and gain required approvals for contract execution and funding.
• Working with other project managers in the programme to coordinate execution and reporting.
• Manage multiple programmes concurrently, each at different stages of development, with varying levels of attention required.
• Prioritize and allocate resources efficiently to meet programme objectives

Stakeholder Management:

• Engage with internal and external stakeholders to build strong relationships and ensure alignment with programme goals throughout programme lifecycle.
• Effectively communicate project updates, milestones, and potential challenges to stakeholders.

Conflict Management:

• Demonstrate strong conflict resolution skills to address issues promptly and maintain positive team dynamics.
• Navigate challenges tactfully while keeping the focus on programme objectives.

Strategic Partnering and Business Development:

• Work with the Business Development team to assemble Industrial Stakeholders and Performers across Research Institutes (RI"s) to build a cohesive team for the execution of the programme.
• Supporting on Strategy and Business Development activities when called upon.

Additional Considerations:

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

Qualifications:

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

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

About Us:

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

About This Role:

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

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

Key Responsibilities:

Programme Ownership:

• Take ownership of research programmes together with the scientific lead, overseeing the entire lifecycle from project formation to execution.
• Collaborate with research teams in the early phases to assist in proposal scoping and development, funding acquisition, and project initiation.

Project Management:

• Utilize strong project management skills to ensure projects are delivered on time, on target and within resources.
• Develop and implement project plans, track progress, and proactively identify and mitigate risks, under framework agreements.
• Work closely with scientific lead to pitch to management and gain required approvals for contract execution and funding.
• Working with other project managers in the programme to coordinate execution and reporting.
• Manage multiple programmes concurrently, each at different stages of development, with varying levels of attention required.
• Prioritize and allocate resources efficiently to meet programme objectives

Stakeholder Management:

• Engage with internal and external stakeholders to build strong relationships and ensure alignment with programme goals throughout programme lifecycle.
• Effectively communicate project updates, milestones, and potential challenges to stakeholders.

Conflict Management:

• Demonstrate strong conflict resolution skills to address issues promptly and maintain positive team dynamics.
• Navigate challenges tactfully while keeping the focus on programme objectives.

Strategic Partnering and Business Development:

• Work with the Business Development team to assemble Industrial Stakeholders and Performers across Research Institutes (RI"s) to build a cohesive team for the execution of the programme.
• Supporting on Strategy and Business Development activities when called upon.

Additional Considerations:

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

Qualifications:

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

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

A Progamme Manager (PM) (Objective and Key Results Officer) position is available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Key Skills and Responsibilities:

• Project Planning and Execution: Follow and dynamically adjust the project plan of AIDP programme, including milestones and deadlines. Coordinate with cross-functional teams to ensure alignment and progress.
• Team Management and Leadership: Lead, mentor, and manage project teams, fostering a collaborative and productive work environment. Facilitate effective communication and teamwork among team members.
• Stakeholder Management: Engage with internal and external stakeholders, including funding bodies, research institutions, and clinical partners. Provide regular updates and reports on project status, risks, and outcomes.
• Objective and Key Results (OKRs) Management: Define and track OKRs to ensure the programme meets its strategic goals. Analyze performance data and make adjustments to keep the project on track.
• Risk Management: Identify potential risks and develop mitigation strategies. Monitor and address issues that could impact project success.
• Resource Management: Allocate and adjust resources effectively, ensuring that project needs are met within budget constraints. Manage procurement and logistics for project-related resources.
• Quality Assurance: Ensure that project deliverables meet the highest standards of quality and reliability. Implement quality control processes and continuous improvement practices.
• Collaboration and commercialization: Build strong collaboration with the local and oversea hospitals. Establish the agreements with the industrial partners for licensing and commercialization.
• Domain Knowledge: Basic knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Strong analytical and logical thinking skills to address and solve complex scientific and commercialization problems.

Requirements:

• Ph.D/Master/Bachelor degree in Biomedical Engineering, Computer Science, or a related field with industrial and project management skill and experience. Additional qualifications in Project Management (e.g., PMP) are advantageous.
• Excellent writing skills, coupled with outstanding communication abilities.
• A strong team player with proven experience in managing large-scale research or development projects, preferably in the healthcare or AI fields.
• Strong background in data science, AI, machine learning, or digital pathology.
• Excellent leadership, organizational, and communication skills.
• Ability to manage multiple tasks and projects simultaneously.
• Proficiency in project management tools and software.
• Strong analytical and problem-solving skills.
• Passionate about AI and medical innovation.
• Highly motivated and results-oriented.
• Able to work under pressure and adapt to changing circumstances.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.

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.

A Progamme Manager (PM) (Objective and Key Results Officer) position is available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Key Skills and Responsibilities:

• Project Planning and Execution: Follow and dynamically adjust the project plan of AIDP programme, including milestones and deadlines. Coordinate with cross-functional teams to ensure alignment and progress.
• Team Management and Leadership: Lead, mentor, and manage project teams, fostering a collaborative and productive work environment. Facilitate effective communication and teamwork among team members.
• Stakeholder Management: Engage with internal and external stakeholders, including funding bodies, research institutions, and clinical partners. Provide regular updates and reports on project status, risks, and outcomes.
• Objective and Key Results (OKRs) Management: Define and track OKRs to ensure the programme meets its strategic goals. Analyze performance data and make adjustments to keep the project on track.
• Risk Management: Identify potential risks and develop mitigation strategies. Monitor and address issues that could impact project success.
• Resource Management: Allocate and adjust resources effectively, ensuring that project needs are met within budget constraints. Manage procurement and logistics for project-related resources.
• Quality Assurance: Ensure that project deliverables meet the highest standards of quality and reliability. Implement quality control processes and continuous improvement practices.
• Collaboration and commercialization: Build strong collaboration with the local and oversea hospitals. Establish the agreements with the industrial partners for licensing and commercialization.
• Domain Knowledge: Basic knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Strong analytical and logical thinking skills to address and solve complex scientific and commercialization problems.

Requirements:

• Master/Bachelor degree in Biomedical Engineering, Computer Science, or a related field with industrial and project management skill and experience. Additional qualifications in Project Management (e.g., PMP) are advantageous.
• Excellent writing skills, coupled with outstanding communication abilities.
• A strong team player with proven experience in managing large-scale research or development projects, preferably in the healthcare or AI fields.
• Strong background in data science, AI, machine learning, or digital pathology.
• Excellent leadership, organizational, and communication skills.
• Ability to manage multiple tasks and projects simultaneously.
• Proficiency in project management tools and software.
• Strong analytical and problem-solving skills.
• Passionate about AI and medical innovation.
• Highly motivated and results-oriented.
• Able to work under pressure and adapt to changing circumstances.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.

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

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.