Job Summary:

We are seeking a motivated and talented individual to join us as an Epidemiological Modeller. The successful candidate will develop and apply cutting-edge models that integrate large datasets of genomic sequences and social media content to understand and forecast disease transmission dynamics. They will also have access to a wealth of genomic and social media data, and will be responsible for conducting analyses that inform public health policy and decision-making.

The successful candidate will join the Protein Sequence Analysis group (https://www.a-star.edu.sg/bii/research/bsfd/psa) at the Bioinformatics Institute, which is part of the Agency for Science, Technology, and Research in Singapore (A*STAR Singapore). Our group plays important technical and scientific roles in GISAID (https://www.gisaid.org), which makes viral sequences available freely whilst safeguarding depositors’ data rights. As such, the selected candidate will be at the forefront of global genomic surveillance, and will get to interact with public health stakeholders regionally and internationally. There are also ample opportunities to collaborate with colleagues from the rest of A*STAR.

The Principal Investigator (Dr. Joses Ho) has deep expertise in robust statistical analyses and data visualization. An essential member of the technical team at GISAID, he tracks emergent SARS-CoV2 mutations across the globe.

Key Responsibilities

• Develop and implement mathematical models to describe disease transmission dynamics, incorporating genomic and social media data where appropriate.
• Conduct statistical analyses to explore the relationship between disease transmission, genomics, and social media activity.
• Work collaboratively with public health officials to identify key research questions and inform public health policy.
• Communicate research findings through scientific publications and presentations.
• Keep up-to-date with the latest research and developments in epidemiological modelling, genomics, and social media.

Qualifications

• A PhD in epidemiology, biostatistics, applied mathematics, or a related field with at least 5 years of relevant experience
• Demonstrated expertise in statistical modelling, especially experience with infectious disease models.
• Deep experience in modern programming languages such as R and Python.
• Well-versed in drawing insights from large datasets, including genomic and social media data.
• Ability to work effectively in a collaborative and interdisciplinary team environment.
• Excellent written and oral communication skills.
• Strong organizational skills and attention to detail.

If you are passionate about applying cutting-edge models (that integrate genomic data and social media data) to understand and control disease transmission, we encourage you to apply for this exciting opportunity!

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

Job Description

We are seeking a highly motivated and dedicated Postdoctoral Researcher to join our dynamic research team at Dr Li Qi-Jing lab. Our lab focuses on Translational T Cell Biology and Therapeutics.

Key Responsibilities

Experimental Design and Execution: Plan and execute experiments to carry out in vitro validations and in vivo assessments to find targets for TCR-T therapy and evaluate their efficacy.

Data Analysis: Collect, analyze, and interpret research data generated from experiments. Utilize statistical analysis and data visualization tools to derive meaningful conclusions and contribute to scientific publications and presentations.

Collaboration and Teamwork: Collaborate closely with other lab members, including graduate students and faculty, to exchange knowledge, share research findings and contribute to a vibrant scientific community.

Publication and Communication: Prepare manuscripts for publication in peer-reviewed journals and contribute to writing research grants. Present research findings at conferences, seminars, and other scientific forums to disseminate knowledge within the scientific community.

Mentoring: Provide mentorship and guidance to junior lab members, including graduate students and research assistants, as needed.

Job Requirements

• PhD in Cell Biology, Molecular Biology, Biochemistry, Genetic or a related discipline. Candidates with an oncology or cancer biology background (M.D., Ph.D.) will be preferred.
• Strong expertise in cell biology, biochemistry and molecular biology techniques, a solid publication record, and strong scientific writing skills.
• Creative, highly motivated, conscientious and be able to work independently, with good organisational, verbal and interpersonal skills.
• Work effectively and harmoniously in a diverse team.
• Mentor and train students and Research Officers.

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

• Research and development of machine learning models to process clinical data
• Development, training and testing of AI models in the local medical domain
• Work with the team to deploy the AI models in hybrid cloud environment
• Work with the software development team to deliver AI products
• Documentation clearly explaining how the algorithms have been implemented, verified and validated

Qualifications

• Masters in bioinformatics, statistics, computer science or related fields with good machine learning skills and software development skills
• Hands-on experience on development of AI models in areas such as NLP, imaging, speech, etc.
• Proficient with Python and AI related frameworks (such as scikit-learn, tensorflow, pytorch, etc.)
• Knowledge in machine learning platform and services from cloud provider such as AWS, GCC and Azure
• Knowledge in big data technologies including cloud computing is plus
• Ability to write/contribute to research articles, grants
• Ability to work well independently and also effectively as part of a team
• Background in or exposure to healthcare data is a plus
• Strong problem-solving and interpersonal skills
• Strong written and verbal communication skills

• Term-time role (enjoy paid school holidays - non-working days);
• 5-day work week;
• Enjoy subsidized lunch;
• Competitive remuneration package & benefits (medical, dental, etc.).

*We regret to inform that only Local Registered Nurse/Staff Nurse will be considered for the role*

*Salary will be based on years of relevant experience*

Dulwich College (Singapore) is looking for a College Nurse (Term-time) to join its dedicated team in August 2024. The College Nurse will oversee the provision of a clinically effective and high quality nursing care and welfare service to students, and First Aid care to all members of the school community as required. The College Nurse will also oversee the provision of a holistic approach to the care of pupils, including health promotion, PSHE, and the assessment and treatment of illness and injury.

Duties and Responsibilities:

• Provide triage and nursing care in one of the three College health centres on a walk-in basis, dealing with medical, physical and psychological needs of the students and wider college community;
• Provide First Aid, emergency care and treatment as required on a call out basis;
• Provide sport specific First Aid on site as required such as pitch side rugby cover and off site cross country First Aid cover;
• Provide First Aid support for college events or sports fixtures after school hours and at weekends as pre-arranged and required;
• Provide a confidential counselling and health advice service as required as part of the student support services team;
• Have a high level knowledge of the college safeguarding policy and apply to daily practice;
• Ensure care plans and action plans are developed, reviewed and written for pupils requiring them, eg. in the case of asthma, epilepsy, diabetes and anaphylaxis;
• Maintenance of student’s emergency medication stored in the health centres;
• Daily and weekly equipment checking as appropriate;
• Adhere to Ministry of Health's guidelines regarding infection control and management of infectious diseases;
• Administering medications under protocol, keeping accurate dispensing records;
• Maintain the stock in the treatment room and be responsible for the hygiene and tidiness of the area;
• Follow procedures for the safe disposal of clinical waste;
• Promote health education, and ensure the provision of, and access to, a range of appropriate publicity materials on student health issues;
• Facilitate health promotion talks and education services for students, staff and Dulwich community as required;
• Support teachers and outdoor learning Department with the management of student medical information and provision of first aid kits and supplies as required for both day and residential trips;
• Maintenance and stocking of college First Aid boxes/ kits and AED’s;
• Adhering to PDPA, ethical and confidential guidelines regarding safe and accurate maintenance of all medical records and all communication methods;
• Report and record accidents and incidents according to college procedures;
• Competent and proficient with Administrative tasks that commensurates with the position such as processing of student medical forms and vaccination records;
• Assist with other school initiatives such as enrichment days, Staff First Aid training and random drug testing as required;
• Assist with contractor First Aid briefings as required;
• All other duties that commensurate with the position of a College Nurse.

Experiences:

• Experience in paediatric/emergency and/or public health nursing;
• Experience of working independently and autonomously in making judgements on treatment;
• Experience working in a school setting would be an advantage;
• Experience of assessing children and young adults in relations to their health and development.

Requirements:

• Candidates must possess at least Bachelor's Degree/Post Graduate Diploma/Professional Degree in Nursing or equivalent.
• Candidates must be registered with the Singapore Nursing Board as a Registered Nurse, or be eligible and willing to do so.
• Preferably have paediatric/emergency experience.

We welcome and encourage applications from people of all backgrounds. Having a diverse staff body is a great strength to us as a College and one of the ways that we can help students achieve our College Mission of Living Worldwise. We do not discriminate on the basis of race, ethnicity, gender, age, disability, religion, sexual orientation, pregnancy or socio-economic status. We support family-friendly flexible working opportunities, where operational needs allow. Staff recruited locally are subject to terms and conditions of service according to local employment law.

Dulwich College (Singapore) is committed to safeguarding and promoting the welfare of all the students in our care and expects all applicants to share this commitment. We follow safe recruitment practices which are aligned to the recommendations of the International Task Force on Child Protection. We hold ourselves to a high standard of effective recruiting practices with specific attention to child protection. All appointments are subject to an interview, identity checks, criminal record checks, and successful references.

CPE Registration Number: 201027137D. Period of Registration: 09 January 2024 to 08 January 2028

Job Description

We are seeking a highly motivated and dedicated Postdoctoral Researcher to join our dynamic research team at Dr Li Qi-Jing lab. Our lab focuses on Translational T Cell Biology and Therapeutics.

Key Responsibilities

Experimental Design and Execution: Plan and execute experiments to carry out in vitro validations and in vivo assessments to find targets for TCR-T therapy and evaluate their efficacy.

Data Analysis: Collect, analyze, and interpret research data generated from experiments. Utilize statistical analysis and data visualization tools to derive meaningful conclusions and contribute to scientific publications and presentations.

Collaboration and Teamwork: Collaborate closely with other lab members, including graduate students and faculty, to exchange knowledge, share research findings and contribute to a vibrant scientific community.

Publication and Communication: Prepare manuscripts for publication in peer-reviewed journals and contribute to writing research grants. Present research findings at conferences, seminars, and other scientific forums to disseminate knowledge within the scientific community.

Mentoring: Provide mentorship and guidance to junior lab members, including graduate students and research assistants, as needed.

Job Requirements

• PhD in Cell Biology, Molecular Biology, Biochemistry, Genetic or a related discipline. Candidates with an oncology or cancer biology background (M.D., Ph.D.) will be preferred.
• Strong expertise in cell biology, biochemistry and molecular biology techniques, a solid publication record, and strong scientific writing skills.
• Creative, highly motivated, conscientious and be able to work independently, with good organisational, verbal and interpersonal skills.
• Work effectively and harmoniously in a diverse team.
• Mentor and train students and Research Officers.

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 research scope for this position is in perception and navigation development for an Autonomous Underwater Vehicle operating in offshore environment. We will be developing advanced techniques for structural tracking and methods for perception generalisation across multiple types of offshore infrastructure. Perception and navigation strategies around complex jackets will be devised with a high level of scale as the focus for the techniques utilised. The techniques will start first with a mapping step (not necessarily used for localisation) followed by perception and navigation step. The development will be first deployed in the digital twin model of the Technology Centre for Offshore Marine Singapore (TCOMS) ocean basin before being tested in the open waters of Singapore.

• Research and implement perception and fusion algorithms utilising sensors such as camera, stereo camera and sonar.
• Explore cost map and mapping techniques to achieve a certain level of mapping of the environment in 3D space. Be able to extend this is to enable global localisation against this pre-existing a-prior map that is built from previous mapping run.
• Research and explore possible localisation algorithms fusing multiple navigation and sensor sources with SLAM for handling of edge cases in vehicle navigation.
• Implement optimal path planning strategies to achieve efficient inspection coverage according to CSWIP 3.3U/3.4U Underwater Inspection standards.
• Integration of robotics stack with the software architecture
• Test and debug of robotics algorithms in software in the loop simulation

Qualifications

• Bachelors in Computer Engineering/ Mechatronics/Mechanical Engineering (Robotics Equivalent)
• Experience with Robot Operating System framework
• Experience with perception and fusion algorithms and libraries including OpenCV, Pointcloud library, Tracking filters, Computer vision techniques
• Experience with AI, deep learning and machine learning algorithms such as YOLO and Faster RCNN
• Experience with SLAM for localisation methods
• Experience with path planning algorithms such as A*STAR
• Proficient in Python and C++
• Proficient in Linux

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health at the National University of Singapore (NUS):

Research Assistant (1 year)

We are recruiting a full-time Research Assistant to support the Principal Investigator, Associate Professor Natasha Howard, in the implementation and administration of research projects in the areas of health equity, infectious disease control, and global health.

Responsibilities:
The research assistant will focus on research and administration in infectious disease control policy and health system strengthening in the Asia region. This will include:
• Supporting qualitative and quantitative research, including contributing to design, implementation, analysis, and write-up of journal manuscripts and reports/policy outputs.
• Project management and administration for multiple research projects, including ethics review applications to NUS IRB and study country review boards, donor reporting, and liaison with relevant teams in NUS SPH and internationally.
• Assisting the PI in other day-to-day tasks as required.

Requirements:
• At least a Bachelor’s Degree in a relevant subject area.
• Excellent academic writing and communication skills in English.
• Experience of successfully managing multiple tasks concurrently.
• Strong qualitative and/or quantitative research skills and experience, including at least some experience with conducting or analysing semi-structured interviews, and capacity/interest to learn social science methodology.
• Highly organized and able to work effectively under pressure, use independent judgement, produce high-quality quality work, and problem solve within time constraints.
• Able to work independently as well as with a team.

Desirable:
• Degree or relevant experience using social science methodology.
• Experience with Atlas.ai/NVivo and R or similar, and capacity/interest to learn.
• Experience of research in global health and/or health policy and systems.

Only Singaporeans/SPRs/residents with existing right to work in the country may apply for this position.

Recruitment is open immediately and will continue until the position is filled. Applicants should send the following documents during the job application:
1. Cover letter highlighting career goals and relevant experience
2. Curriculum Vitae, containing details of three named referees

Qualifications

At least a Bachelor’s Degree in a relevant subject area.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

Job Description:

• To focus on bridging the knowledge gap of vector–pathogen-host interactions in mosquito-borne disease transmission. To understand the immune and pathogenic mechanisms during mosquito borne-virus infection to guide the development of targeted and effective control and treatment strategies
• Conduct laboratory experiments in vaccine/drug testing and perform data analysis for industry/research collaboration projects
• Work with patient cohorts and relevant models (both in vitro and in vivo) of infectious diseases
• Perform meticulous recordkeeping and able to draft delivery report to industrial partners
• Perform maintenance of inventory and procurement of laboratory consumables
• Ensure safe technical practices and procedures

Job Requirements:

• Bachelor Degree in Biomedical Sciences, Biochemistry, Life Sciences, Biological Sciences, Infectious Diseases, Microbiology, Immunology, Biochemistry or related field
• 1 to 2 years of relevant experience or applicants with relevant academic experience are welcome to apply.
• Experience with cell culture models, mouse models, animal studies, cell biology, flow cytometry, serological and molecular techniques, handling with BSL-2 and BSL-3 pathogens will be an asset
• Experience with industry project management
• Strong background in Microbiology, Immunology, Molecular Biology, Biochemistry, Genetics and Genomics
• Highly motivated and able to work independently
• Team player with good interpersonal skills
• Good spoken and written communication skills

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

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 Research Fellow in the Centre for Behavioural and Implementation Science Interventions, Yong Loo Lin School of Medicine. The Centre for Behavioural and Implementation Science Interventions (BISI) is a research and education centre that aims to improve the health and well-being of the population by accelerating evidence-based practice through the use of behavioural and implementation sciences.

Appointments will be made on one year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Fellow will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful execution of PI’s research agenda. The RF’s principal role will be to assist the PI in developing their research agenda, help develop publications and carry out work in general practices such as recruitment, data collection, data entry and analysis.

Main duties and responsibilities

The Research Fellow will liaise with the relevant personnel in the healthcare system and university to smooth the process of recruitment and data collection and will be accountable to the Principle Investigator (PI). The RF will be able to:

1. Oversee the general management of the PI’s research agenda;
2. Undertake the day to day running of the PI’s research projects
3. Conduct literature searches, using SPSS to enter data, and analyse data and maintain trial database, as well as assist in preparing both progress and final reports of the project;
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
5. Assist PI in developing conference presentations and publications on the ongoing research work.
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

Qualifications

The applicant should:

1. Have a first degree with good results or holds a Doctoral degree or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint;
4. have experiences in the areas of behavioural sciences or behavioural economics

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

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 Smart Systems Institute @ NUS is seeking a motivated Research Engineer with expertise in robotics, human-robot/AI-interaction, and machine learning.

Key Responsibilities:

• Research and develop platform, modular components for human-robot interaction.

• Work closely with various teams (students, researchers, engineers) to build demos, practical applications on XR/AR smart glasses (Hololens, Meta Quest, XREAL)

• Integrate with opensource libraries, tech stack (robotics, AI, ML, computer vision) for human-robotics interaction and applications.

For more information on related works & projects, visit us at https://ssi.nus.edu.sg

Qualifications

• Minimum Bachelor / Master’s degree in Computer Science/Engineering/Robotics Engineering (or related area)

• Expertise in robotics and human-robot interaction.

• Experience with working on Linux, Python, integrating to APIs & libraries

• Expertise in AI, machine learning and applications to practical problems.

• Excellent communication skills (both verbal and written).

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 seek a highly-driven and motivated postdoctoral fellow (research fellow) with strong expertise in the preparation and characterization of organic, inorganic and organometallic compounds.

Among others, she or he will be responsible for the preparation and characterization of novel low-molecular weight metal complexes as suitable precursors for chemical vapour deposition (CVD) and atomic layer deposition (ALD) in a collaboration with Applied Materials.

In addition, she or he will assist the PI in overseeing daily operations of the lab and training junior lab members.

Qualifications

Qualifications / Discipline: Ph.D. or equivalent degree in Organometallic and Coordination Chemistry from recognised University. Candidates who are due for conferment can apply.

Requirement: Have a proven, strong track record in experimental research.

Skill: Preparation characterization of organic, inorganic and organometallic compounds.

Geriatric clinic looking for registered nurse who is able to work with older adults. Proficient in clinical care in older adults. Able to communicate with patient and caregiver. Able to perform urinary catheterisation, nasogastric tube, cannulation and venepuncture. Team player and able to multitask.

The Society for the Prevention of Cruelty to Animals (SPCA) is looking for a veterinary nurse to join our community animal clinic. The SPCA’s clinic is unique, as it is a not-for-profit clinic serving needy animals in Singapore. These include street dogs and cats, abused and rescued animals, shelter animals and, eventually, pets from low income households.

As part of the clinic team, you will be responsible for the provision of the highest standards of veterinary medicine and care.

The responsibilities include and are not limited to:

• Assisting Veterinarians with consultations, treatments and surgeries.
• Maintaining diagnostic equipment, sterilization of surgical instruments and cleanliness of the clinic.
• Maintaining file patient records.
• Conducting regular checks and follow-ups with animals.
• Providing basic treatment and husbandry for warded animals.
• Providing guidance and support to patients’ caregivers where necessary.

Others

- Provision of support for ad-hoc events and SPCA-led projects.

Training will be provided.

Requirements:

• Minimum Diploma in Veterinary Nursing or equivalent preferred but not required
• At least 1-2 year(s) of working experience in a veterinary clinic preferred but not required
• Passion for animal welfare
• Good verbal and written communication skills
• A team player
• Able to work weekends, 5 days work week

Interested candidates please send your resume with a cover letter and expected salary to [email protected]. We regret that only short-listed applicants will be notified.

Please note that for all positions, you must be prepared to travel to 50 Sungei Tengah Road. Please check to make sure that the distance is not too far for you to travel before applying.

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

Our team is developing an innovative phased array system for Earth observation missions. We are looking for a phased array antenna designer to join the team.

Job responsibilities include:
• Design phased array antennas using design software such as HFSS or CST.
• Measurement of the phased array antennas.
• Work with other designers on the integration of antenna arrays, microwave modules, and the signal processing modules into a system.
• Participate in the testing of the complete phased array system.
• Present the R&D results in conferences and journal publications.
• Reporting of the designs and measurement results.

Qualifications

• Possess a PhD in Electrical Engineering
• Proven experience through publications in the design and measurement of phased array antennas.
• Experience with design software such as HFSS or CST.
• Able to work independently and in a team.
• 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

We seek a highly driven and motivated senior postdoctoral fellow (Senior Research Fellow) with strong expertise in the preparation and characterization of organic, inorganic and organometallic compounds.

Among others, she or he will be responsible for the preparation and characterization of novel low-molecular weight metal complexes as suitable precursors for chemical vapour deposition (CVD) and atomic layer deposition (ALD) in a collaboration with Applied Materials.

In addition, she or he will assist the PI in overseeing daily operations of the lab and training junior lab members.

Qualifications

Qualifications / Discipline: Ph.D. or equivalent degree in Organometallic and Coordination Chemistry from a recognised University

Requirements: Have a proven, strong track record in experimental research.

Skill: Preparation characterization of organic, inorganic and organometallic compounds.

As a University of Applied Learning, SIT works closely with industry in our research

pursuits. Our research staff will have the opportunity to be equipped with applied

research skill sets that are relevant to industry demands while working on research

projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to model potential compound and their spectra and to develop QSAR models and receptor binding models.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Lead and support high quality publications to disseminate the research outcomes.
• Modelling potential compounds and exploring their spectral analysis.
• Develop quantitative structure activity relationship (QSAR) models.
• Perform molecular docking.

Job Requirements

• Holding a Master/PhD degree in chemistry or related field, preferred in theoretical chemistry.
• Experience in molecular modeling and spectral simulation of molecules.
• Experience on computer drug design – quantitative structure activity relationship (QSAR), molecular docking.
• Good knowledge of statistical analysis.
• Good writing and communication skills

Key Competencies

• Show strong initiative and take ownership of work.
• Able to build and maintain strong working relationships with people within and external to the university.
• Good communication and interpersonal skills.
• Possess strong analytical and critical thinking skills.

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 candidate will conduct experimental research in the area of thin film growth and characterization, memory device fabrication and characterization.

The research efforts of current position will be focused on Spin torque ferroelectric resonance measurement, electric transport characterization, and device fabrication.

Qualifications

• Potential candidates should have a Ph.D. degree in physics and materials Science, with a background in electric transport, especially high frequency ferromagnetic resonance measurement.

• He/she should also have excellent communication skills, both oral and written, and able to co-supervise graduate students.

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

In 2021 the Singapore Hybrid-Integrated Next-Generation micro-Electronics (SHINE) Center was established.

One of the projects in SHINE focusses on developing the technology and demonstrators for Radio Frequency (RF) and microwave applications on flexible substrates.

As part of this project, we have a position for a research fellow with proven knowledge and experience in researching, designing, and testing of microwave passive and active circuits and subsystems.

Note: a design portfolio showcasing RF designs must be attached to the resume.

Qualifications

• Possess a PhD degree in Electrical Engineering
• Several years of experience in the simulation and design of microwave circuits and subsystems.
• Experience in the design of LNA, PA, mixer, control circuitry and antennas.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of microwave circuits using VNAs.
• Able to work independently and in a team.
• 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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT) at the National University of Singapore (NUS), and French-Singaporean international laboratory (Majulab), are looking for a talented postdoctoral or PhD candidate in experimental physics, for exploring the fundamental and technological quantum resources of systems that are constructed around a high-Kerr photonic resonators – i.e. a resonator in which the nonlinearity strength acts at the scale of one or a few photons. Two research axes are currently in development: (i) New physics and resources emerging in the quantum regime of photonic bistability, and (ii) new paradigm for the measurement of quantum scale forces (i.e. at the scale of single photons recoil) in hybrid Strong-Kerr optomechanical architectures.

More specifically, the goals are:

• Characterise the quantum properties of a strong-Kerr microresonator in the bistable regime using classical and quantum light: e.g.: demonstration of a Dynamical Casimir effect in the jump dynamics, demonstration of a giant single-shot ultra-fast amplification of single or few photons.
• Participate in the development of a new type of hybrid Strong-Kerr optomechanical architecture by optical characterization and feedback (Collaboration for the fabrication: C2N CNRS, Paris-Saclay). Demonstrate the polaritonic-enhancement and the Kerr-enhancement of the optomechanical interactions in the system using externally applied classical and quantum-prepared radiation pressure.

Job Requirements

The candidate should have a solid academic track-record, and in the case of a postdoc position, a previous experience in experimental physics on connected topics such as: Quantum optics, atomic vapours and/or condensates, optomechanics of nano-microsystems, optical spectroscopy of solid-state nano-micro-systems.

The appointee will join CQT under the supervision of Dr M. Richard (Majulab & CQT affiliated). The candidate will contribute in every aspect of the group operation, e.g. by co-supervising interns and PhD candidates. Salary will be competitive and will be commensurate with the candidates work experience.

Candidates who have a PhD degree and generally 3 or more years’ postdoctoral research experience will be considered for a senior role.

Applicants should submit a detailed CV. Positions will initially be offered for 15 months, with possible extension for at least one more year. The start date is flexible. If shortlisted, applicants should also arrange for two letters of reference to be sent directly to the supervisor.

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 (NUS) Department of Civil and Environmental Engineering invites application for one (1) Research Fellow position in the area of intelligent transportation systems with emphasis on system development, deployment, integration, and delivery.

The candidate is expected to work on

(1) research projects related to smart lamp post development, deployment, integration, and delivery for related applications under the Cisco-NUS Accelerated Digital Economy Corporate Laboratory.

(2) Work with contractors and agencies for systems hardware and software development and field deployment and must be willing to go on field and discuss on progress with contractors appointed to work on the trials. In addition, the candidate should also possess good communication and team working skills and can present research findings in publications and professional meetings (including with agencies and the industry).

Job Requirements

• Possess a Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Strong written and oral communication skills.
• Has relevant expertise and work experience in traffic simulation software and programming with at least one language, e.g., Python, Java, or C++.
• 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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The job scope will be to participate to the development and design of a quantum processor using neutral atoms array. In particular, the candidate will participate to the design of the vacuum system, characterisation of the laser system, implementation of the optical systems, and interfacing of the experimental setup.

Job Requirements

• A Bachelor degree in Physics;
• A successful experience in atomic physics or related fields

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 a Research Associate position in the Department of Synthetic Biology Translational Research Program, Yong Loo Lin School of Medicine. Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Research Associate (RAssoc) will be working closely with the Principal Investigator and a team of researchers on bioprocessing and downstream process development. The RAssoc’s principal role will be to assist in method development and process optimization for research projects requiring bacterial and yeast fermentation as well as provide technical support and training to laboratory users.

Main Duties and Responsibilities

The Research Associate is expected to:

1. Design and execute fermentation experiments to optimize the production of target compounds/proteins.
2. Develop and scale-up bioprocesses for the cultivation of microbial strains (bacterial, conventional and non-conventional yeasts) from benchtop to pilot scale fermentation.
3. Conduct process optimization studies to improve fermentation performance, yield, and productivity.
4. Lead efforts in developing scalable downstream processes, including but not limited to filtration, chromatography, and other purification techniques.
5. Collaborate with cross-functional teams to ensure seamless integration of strain engineering to fermentation and downstream processes.

Main Duties and Responsibilities

1. Analyse data from fermentation and purification experiments, interpret results, and present findings to the team.
2. Troubleshoot and resolve any issues that arise during fermentation or purification processes.
3. Develop and maintain standard operating procedures (SOPs) and ensure adherence to good manufacturing practices (GMP) and safety guidelines.
4. Stay updated with the latest advancements in bioprocessing and downstream purification technologies and apply them to enhance processes and productivity.
5. Provide technical expertise and support to team members and contribute to the overall success of the group’s translational projects.

Qualifications

The applicant should:

• Masters in Chemical/Biochemical Engineering, Biotechnology, or a related field.
• Proven track record of successfully optimizing and scaling-up fermentation processes for the production of compounds/proteins.
• Expertise in downstream purification techniques, such as filtration, chromatography, and other purification techniques.
• Hands-on experience with various bioreactors, fermenters, and other bioprocessing equipment.
• Strong understanding of safety protocols in bioprocessing.

Qualifications

• Proficiency in data analysis, statistical tools (JMP), and design of experiments (DoE) for process optimization is an advantage.
• Preferably have experience with process simulation and modelling.
• Be able to work both independently and in teams.
• Demonstrates an investigative nature and is attentive to details.
• Demonstrates an ability to lead and mentor junior team members.
• Passion for innovation and staying updated with the latest trends in bioprocessing.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Suhana Sulaiman, at [email protected]

Application

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees) by 29 February 2024

The LKY School of Public Policy is seeking Research Assistant(s) who will assist with ongoing projects in the field of social science, including financial literacy, economics of aging, social security, and public policy.

The successful candidate should have an interest in one or more of the above-listed topics, as well as the ability to work independently with minimal supervision and a strong willingness to learn about new topics. The candidate must demonstrate some competence in quantitative research methods, and be proficient with statistical software such as STATA or R. Excellent written and spoken English is essential.

This position requires a minimum of two years of professional research experience or working in a research environment (in any field). This position requires working with large datasets, and caters to individuals who are looking to develop a career or pursue further studies in the fields of public policy or social science research. The Research Associate will work directly with Asst Professor Joelle Fong

Responsibilities of the full-time Research Associate include:

• Research support for projects under a 5-year research programme
• Conduct literature reviews
• Perform quantitative data analysis on research projects.
• Independently collect and manage primary and/or secondary data for research projects • Contribute to writing research reports, policy briefs, and journal articles
• Prepare manuscripts for submission, and other administrative work.

Job Requirements:

• Have a Bachelor’s/Master’s degree in the social sciences from a reputable university.
• Minimum of two years of full-time professional research experience or work in a research environment (in any field).
• Demonstrate strong programming skills using either Stata or R (experience with other programs is a plus)
• Excellent spoken and written English.
• Self-motivated and attention to detail.
• Able to commit to at least 1 year of service.

To Apply:

• Cover letter, with a brief statement of relevant research experience
• Curriculum vitae (four-page max)
• Two writing samples (e.g. essays, written reports, short articles)
• Two references/letters of recommendation from academic referees. Applicants must arrange for their referees to separately email their references.

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

Our team is seeking highly talented and motivated candidate to join us in exploring the impact of climate change on food security within the Civil and Environmental Engineering Department of the College of Engineering and Design at the National University of Singapore. The primary responsibility will involve the development of physics-based and data-driven crop models.

1. Analysis of climate model projections, conduct crop model simulations over Southeast Asia
2. Any other duties as assigned by the supervisor

Job Requirements

• Possess at least a PhD from reputable universities in Civil and Environmental Engineering, environmental sciences, climate science, geography, or other related disciplines.
• Preferably having relevant research/industry experience with competent knowledge in some of the following areas: civil engineering, climate science, hydrological and water resources management, GIS, geography, etc.
• Prior experience/knowledge of the following models, software/programming languages will be preferred:
- Extreme value analysis
- Land surface modeling and/or remote sensing; Water resources management; Crop modeling
- Data analysis tools such as MATLAB
- Programming languages such as python, C++ and/or FORTRAN
- High-performance computing
• Other Requirements:
1. Strong proficiency in written and spoken communication skills and able to present results individually and/or in teams.
2. Demonstrated ability to adapt and collaborate effectively within a team environment.
3. Resourcefulness and self-motivation, coupled with a strong sense of professional integrity.

• 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

We are looking for an experienced Data Manager to oversee the development and use of data systems in ADVANcing Clinical Evidence in Infectious Diseases Network (ADVANCE-ID)

ADVANCE-ID is jointly funded by the Wellcome Trust and Singapore institutions including the Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections. Its mission is to build and sustain a strategic clinical research network focussed on most efficiently delivering locally relevant interventions for drug-resistant infections.

The Network aims to improve and strengthen clinical research capabilities in the region by acting as a platform to develop good principles and practices. It will stabilise capacity and capabilities to mitigate inefficiencies in trial start-up phase and loss of skillset following study closure, as in typical trial setup. The Network will continuously develop its capabilities, quality and efficiency by learning from and collaborating with other clinical trial networks.

In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its original starting point in South East Asia and collaborating with other networks around the world. It will function as an active network that involves patients in platform trials, allowing for rapid clinical research response in the event of an emerging infectious disease or pandemic threat.

The data manager should be a data expert with experience in clinical trial data management and will be working closely with both internal and external stakeholders.

Duties & Responsibilities
• Data Governance: Establishing data governance policies and procedures to ensure data quality, consistency, and integrity throughout the organization.
• Data Collection and Integration: Designing and implementing data collection methods and processes to gather relevant information from various sources.
• Database Management: Overseeing the design, development, and maintenance of databases to store and organize data efficiently. This includes database architecture, data modeling, indexing, and performance optimization
• Data Integration: Combining data from different sources into a single, unified dataset. This involves merging, consolidating, or linking data based on common data attributes or identifiers.

• Data Quality Assurance: Developing and implementing procedures for data validation,data cleansing, and data quality checks to ensure the accuracy, consistency, andcompleteness of data.
• Data Analysis and Reporting: Collaborating with investigators to provide accurate andtimely data for analysis and reporting purposes.
• Data Strategy and Planning: Contributing to the development of data strategies androadmaps aligned with the organization's objectives.
• Collaboration and Communication: Collaborating with cross-functional teams, includingIT, analytics, and business units, to understand data requirements and ensure dataavailability.
• Compliance and Regulations: Keeping up-to-date with data protection regulations,industry best practices, and emerging technologies.

Qualifications

• Experience in clinical trial data management
• Proficiency in data management tools, databases, and programming languagescommonly used in data management.
• Excellent communication and collaboration skills
• BSc or MSc in relevant field