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.

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.

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.

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Qualifications / Discipline:

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

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

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

1. Conduct lab-based research and perform experiments.
2. Collaborate with colleagues both inside/outside the group.
3. Assist in daily lab management duties.
4. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner.
5. Ensure compliance with environment, safety, health and quality program requirements from all levels (e.g. university, faculty of engineering and the department of MSE).
6. Translation and commercialization. Training will be provided

Job Requirements

A bachelor and a master degree in Chemical Engineering, Material Engineering or related field is required. The candidate should also have some research experiences.

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 successful candidate will work with Assoc. Prof. Han Vinh Huynh and Assoc. Prof. Utkur Mirsaidov on the exploration of methods for selective etching in the pursuit of improving the fabrication of interconnects in semiconductors. To achieve this a detailed understanding of the (redox) chemistry of various current etching methodologies is crucial. Synthetic skills and knowledge in molecular chemistry are advantageous. In addition, s/he will assist the PI in overseeing daily operations of the lab and training junior lab members.

Qualifications / Discipline:

- Ph.D. or equivalent degree in Chemistry or Materials Science

Skills:
- Synthetic skills in organic and inorganic chemistry

Experience:
- Experience in molecular and surface science including hands-on experience in various analytical techniques (NMR, MS, TEM, SEM, XPS, etc.)

You will embark on an enriching career journey at the Environmental Health Institute (EHI), and be a member of the Rodent Ecology Section, where your role encompasses the execution of both field and laboratory research. The areas of focus include (i) biosurveillance of the diversity, distribution, and ecology of rodents and their associated pathogens, and (ii) development of integrated mitigation strategies. You will work with stakeholders to translate scientific findings into policy and operations and contribute to the development of national environmental public health policies. As a member of the EHI family, you will have numerous opportunities for personal development, not only in science, but also in other areas such as project management, and stakeholder engagement.

Job Requirements:

• Bachelor's or Master's degree in Ecology, Zoology, or a related life sciences field, preferably with training in public health.
• Experience in designing and conducting research projects, including fieldwork
• Any peer-reviewed scientific publications will be an advantage
• Knowledge in the systematics, biology, ecology, and field surveillance of vectors (including rodents) and their associated pathogens
• Experience in or a willingness to learn animal dissection techniques
• Familiarity with molecular biology techniques and interest in working in high-containment laboratories
• Basic knowledge of biostatistics and use of statistical software
• Possessing a valid class 3 license and willingness to drive NEA's vehicle to field sites is preferred
• Ability to work with multiple stakeholders and contribute to the translation of research into public health policy and operations
• Good organisational, analytical, interpersonal, and communication (written and oral) skills
• Ability to work in a fast-paced environment and to manage multiple tasks
• Self-motivated and eager to learn

Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.

To apply, please proceed to Careers@Gov at https://sggovterp.wd102.myworkdayjobs.com/PublicServiceCareers/job/Singapore/Senior-Principal-Principal-Research-Officer--Rodent-Ecology-Section-_JR-10000026029-1

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]

*SAP will be prioritizing candidates with full working rights in Singapore.*

About SAP

A market leader in end-to-end business application software, SAP helps more than 425,000 customers worldwide work together more efficiently. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift societies, and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives. At SAP, we build breakthroughs, together.

About SAP Labs Singapore

SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network and is the newest innovation hub at SAP that drives product leadership, fosters the best talent, and aims to boost ecosystem and community engagement with a variety of initiatives.

SAP Labs Singapore has the ambition to expand significantly and become the Embedded Artificial Intelligence Hub for SAP, leveraging on core competencies in the current teams.

Your future team

Artificial Intelligence team as part of SAP Labs Singapore has experienced professionals taking on challenges posed by the SAP customers. Based in Singapore, you will have the opportunity to work on breakthrough projects addressing real-world problems, challenging norms with some of the SAP’s key customers. As part of the global product engineering team, you will participate in rich and engaging conversations with experts around the globe.

SAP Labs Singapore provides an open, modern working environment and the opportunity to become part of the global SAP engineering community.

Purpose and objectives

As an Associate AI Scientist / AI Scientist, you will work together with a team of dedicated experts including AI developers, data engineers, dev-ops engineers, and architects with a single goal of building the best-in-class AI products. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top-notch artificial intelligence systems.

Applicants with relevant experience may be considered for AI Scientist role.

Expectations and tasks

Your tasks include:

• Push the frontiers of what is possible in the area of artificial intelligence and machine learning so as to create new solutions
• Explore, understand, and implement most recent technologies and approaches for data science problems
• Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
• Strive for state-of-the art, highly accurate and scalable data science models
• Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance
• Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation
• Communicate the relevance of implemented systems and achieved results in a visual and consistent way
• Work closely with the team, customers, and partners to holistically understand business and user requirements and derive adequate application development concepts
• Performing quality assurance tasks
• Solve complex regression issues
• Ability to work in global teams with different time zones
• Immerse yourself quickly into new topics, terminology, and development tasks

Educational and experience requirements

Required

• Undergraduate or Post-Graduate specialization in Artificial Intelligence or Ph.D. degree in Computer Science, Mathematics, Statistics, or equivalent fields
• 0 to 3 years of working experience as data scientist, preferrable with an enterprise software or cloud application companies
• Publication track record on deep learning, machine learning, large language, and foundational models
• Proficient knowledge and track record of applying modern deep learning concepts
• Track record of developing novel learning algorithms or systems
• Experience with machine and deep learning software packages & libraries such as Caffe, Torch, Theano, TensorFlow, Keras, Scikit-learn, DeepLearning4j, GPT;
• Hands-on with programming languages such as Python, C++, Java, Scala
• Familiar with Agile/Scrum methodologies
• Strong desire to overcome obstacles and make your work benefit SAP's customers
• Excellent written and communication skills in English language

Optional

• Operational knowledge of Linux distributions such as Redhat, Ubuntu, SUSE
• Data Science experience in Large Language Models, Generative Pre-trained Transformer models, foundational models etc.

Job Segment: Data Science, AI Developer, Machine Learning, Artificial Intelligence

About us

utu is reinventing the future of travel shopping rewards. We’re committed to rewarding tourists for their shopping abroad and we have big plans. In this role, you will be supporting the Marketing manager with a focus on running campaigns, promotions, and working with agency partners. We have an urgent need to fill this role so candidates that can come on board soon will be viewed favourably.

Our ideal candidate is a versatile player with skills to execute the following responsibilities successfully:

About the role

· Be responsible for running partner marketing campaigns that include social media, website, press releases, POS material, short from video content and other supporting collateral

· Execute partner promotions for utu products to retailers, and consumers

· Be able to craft compelling articles and partner communication

· Collaborate with external advertising and PR agencies

· Monitor and optimize campaigns and programs to measure marketing success

· Establish collaborative relationships with cross-functional teams and stakeholders to ensure end-to-end alignment, smooth execution, and overall project success

· Obtain partner testimonials in the form of videos and quotes for building brand awareness

· To manage and handle day-to-day operations relating to marketing and support customer service team

Preferred experiences & skills

· Bachelor’s degree in a relevant concentration. E.g. marketing, business or hospitality

· Minimum 3-4 years of full-time work experience

· Experience in travel, retail, or fintech industries will be looked upon favourably

· Agency experience is advantageous

· Proven experience in running global marketing campaigns and PR

· Experience in Email, Push, SMS, in-app messaging channels and platforms like Braze or Mailchimp.

· Ability to collaborate effectively with cross-functional teams and stakeholders

· Detail oriented with proven ability to drive multiple projects forward cross-functionally

About you

· 6 months contract, with potential conversion to permanent.

· Based in Singapore

· Only Singapore citizens and PR’s will be considered

· Willing to work in a hybrid setting

· Geared to work in a fast-paced startup environment

· Problem-solving abilities with an eye for detail

· Self-starter. You are motivated to go beyond the required minimum

· Able to adapt to meet the changing needs of the business

· Interested in travel, retail, and rewards

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Qualifications

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant / Research Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

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

· Security Information and Event Management (SIEM) system

· Large Language Models

Job Requirements

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Job Title: Research Fellow in Spatial Epidemiology

Location: Singapore

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

Key responsibilities:

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

Qualifications:

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

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Qualifications

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Qualifications

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The selected Research Assistant will be required to:

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

Qualifications

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

Job Description & Requirement

The Integrated Circuit Design and System Department at IME is on the lookout for a skilled and innovative engineer to develop groundbreaking cryogenic analog/mixed-signal and RF circuits for quantum computing applications. In this role, you’ll collaborate with a dynamic team of IC designers and physicists, working on state-of-the-art prototypes that will revolutionize qubit technologies through high-fidelity control and read-out. Join us and be part of the next wave of quantum breakthroughs! Key

Responsibilities:

• Design and tape out advanced circuit blocks including low-noise amplifiers, variable gain amplifiers, ADCs, DACs, and mixers.
• Model and test circuits at cryogenic temperatures to ensure peak performance in quantum computing environments.
• Collaborate with a multidisciplinary team on system integration and technology demonstrations.
• Explore and develop innovative circuit and system solutions, contributing to cutting-edge inventions.
• Qualifications:
• PhD in Electrical Engineering or a related field.
• 4+ years of hands-on experience in transistor-level analog circuit design.
• Strong expertise in CMOS analog IC design methodologies, with a successful track record in tapeouts.
• Familiarity with the full analog IC design and verification flow.
• Proficiency in using IC testing equipment such as oscilloscopes, spectrum analyzers, etc.
• Ability to produce high-quality scientific publications and patents.
• A motivated team player who thrives on learning and innovation.

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.

AWARE is seeking a compassionate and dedicated individual to join us as a Programme Manager to lead our Case Management team. Our service involves working with clients to access justice via exploration of options, navigating systemic barriers and advocacy work. We are looking for an experienced practitioner with social work and/or counselling cum managerial experience in the social service sector or related setting.

Join us if you have a strong understanding of gender-based violence, women's rights issues, as well as a strong commitment to the values of AWARE’s gender- and trauma-informed practices.

Position: Programme Manager (Case Management) -E3

Department: CARE

Salary Range: $4520 to $5400

Term: 1 Jan 2025 to 31 Dec 2026

Responsibilities

• Provide leadership in strategic work targeting systemic change - both in internal work, and/or to respond to the changing landscape of Singapore’s social service provision
• Lead and manage the team to deliver timely and quality service in case management, befriending and case advocacy work
• Oversee and manage the budget, planning, development, monitoring and evaluation of the programme
• Lead team capacity building via clinical and administrative supervision and training
• Engage in staff recruitment, onboarding and training
• Provide casework, including crisis intervention to meet overall needs of survivors of gender based violence, including their significant others, when needed.
• Liaise with authorities like the criminal justice system, police, hospitals and other social service community partners to increase service access for survivors
• Promote case management and CARE services through knowledge exchange and collaboration with community partners
• Work closely within the CARE team, with external consultants, across departments and the Executive Director
• Collaboratively design and conduct Sexual Violence related groupworks
• Conduct related training to volunteers, staff and community partners for capacity building
• Any other necessary tasks as required by the Head of Department, based on capacity

Qualifications and Work Experience

• Recognized Masters degree in social work, psychology or counselling
• Minimum 5-8 years in case management or a related field, with at least 2 years in a managerial and/or supervisory role in a social service organisation or related
• In-depth knowledge of case management principles, practices and procedures, with skills in training and capacity building in these areas
• Familiarity with relevant local legal, regulatory and industry practices and guidelines that affect case management services
• Experience in managing daily operation, programme development, implementation and evaluation
• Experience in strategy planning, work planning and managing people and financial resources effectively
• Experience in gender violence and trauma work (preferred)
• Experience in advocacy work (preferred)
• Experience in conducting group work (preferred)

Skills

• Professionalism, leadership, clinical and people management skills are essential
• Strong interpersonal and communication skills (both verbal and written-second language such as Chinese, Malay or Tamil preferable)
• Ability to maintain professional boundaries
• Ability to handle sensitive information with discretion and confidentiality
• Strong organizational and time management skills
• Proficiency in Google Workspace (Google Docs, Sheet, Slides, Drive) or similar Office Suites, and relevant database systems
• Ability to lead independently and also has strong teamwork ethos
• Ability to work with a multidisciplinary team
• Flexibility and adaptability to handle a fast-paced environment, work under pressure and manage competing demands
• Excellent case recording and record-keeping skills
• Ability to interpret and analyse both quantitative and qualitative data and produce reports
• Advocacy lens (preferred)
• Group work skills (preferred)
• Knowledge and skills in gender violence and trauma work (preferred)

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Please note that, due to the large number of applications, only shortlisted applicants will be contacted for an interview. If you have any questions about this position, please email [email protected].

We are seeking a Junior ImmunoDx Scientist to support new projects and to drive our future growth.

Job Description:

• Conduct analytical and clinical validation.
• Optimize IVD/RUO products.
• Develop protein conjugation techniques for biosensors and manufacturing at scale.

Job Requirements:

• Bachelors's degree in Science, Biology, or equivalent with 1- 2 years of laboratory experience.
• Skilled in protein-based assays such as immunoassay and protein quantitation.
• Proficient in MS Office.
• Strong communication skills.
• Ability to multitask in a dynamic environment, and a self-driven, team-oriented attitude are essential for success in this fast-paced position.
• Candidates with no experience may apply.

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.

We are seeking an innovative Junior Scientist to support our new projects.

Job Description:

• Conducting experimental design, planning, performance and troubleshooting of experiments.
• Results report writing.
• Laboratory administration and operations.

Job Requirements:

• Bachelor's degree in Science, Biology, or equivalent with 1 - 2 years of laboratory experience. Candidates with no experience may apply.
• Basic Biosafety Level 2 laboratory skills e.g. micropipetting, handling of reagents and biological material in Biological Safety Cabinet.
• Performance of molecular-based assay such as polymerase chain reaction or other nucleic acid amplification-based platforms, and next generation sequencing.
• Proficient in MS Office.
• Strong communication skills, the ability to multitask in a dynamic environment, and a self-driven, team-oriented attitude are essential for success in this fast-paced position.

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.