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

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

We regret that only shortlisted candidates will be notified.

Job Description

The appointee will assist the principal investigator on projects related to digital health, nutrition, obesity management to:

1. oversee the general management of the project
2. undertake the coordination with the designers in user acceptance testing, pilot testing, during and after the implementation
3. provide administrative and other support to the project
4. conduct literature reviews and/or systematic reviews
5. conduct data entry and data analyses
6. assist in preparing both progress and final reports of the project
7. work on other tasks as assigned

Qualifications

The applicant should:

1. have a first degree with good results preferably with a health science background
2. have experience in the process of conducting research;
3. be able to work independently and with a team, have an investigative nature, attention to detail;
4. have knowledge of computer and data analysis applications (such as R, SPSS and MS Office);
5. have good communication skills with colleagues and fluency in English; and
6. have nursing background, or honours degree in nursing is a plus.

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in research and project management.

Formal application: Please submit your application, indicating current/expected salary, supported by a CV and full contacts of 3 referees via the NUS Careers Portal.

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• PhD with experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

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 processes 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 looking for a full-time research assistant to support an MOE-funded research project on cancer and public health. The successful candidate will work closely with the principal investigator and a team of cancer clinicians and researchers, and will have the opportunity to gain hands-on experience in socio-behavioural research to improve cancer care.

Responsibilities:

• Assist with the administration and management of research projects, including coordinating the research team’s meetings and activities and preparing the research ethics application.
• Conduct research fieldwork, including recruiting participants, coordinating interview schedules, administering informed consent forms, conducting qualitative interviews and transcribing interviews verbatim.
• Conduct qualitative data analysis, and work with the research team in preparing research reports/manuscripts.

Requirements:

• Excellent academic writing and communication skills in English.
• Experience of successfully managing multiple tasks concurrently.
• Some qualitative research skills and experience, including at least some experience with conducting semi-structured interviews and/or analysing qualitative data and interest in learning how to conduct socio-behavioural research in cancer care.
• 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 in social science methodology or health care.
• Experience with Atlas.ai/NVivo and R or similar software to manage qualitative data or the interest to learn.
• Experience in conducting qualitative interviews.
• Able to speak Mandarin/Chinese dialects or Malay/Tamil is an advantage as some research participants may only speak their mother tongue.

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

• Bachelor’s Degree in a social science or health discipline.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A full-time Research Assistant position in the team led by Assistant Professor Chua Wei Ling is available at the Alice Lee Centre for Nursing Studies, National University of Singapore. The selected candidate will work closely with the Principal Investigator in the research domains of (i) nursing staffing and patient outcomes and (ii) post-sepsis syndrome.

This position provides an excellent opportunity for candidates looking to further experience in research with a view to a Master’s and/or PhD with the Principal Investigator.

Appointment will be made on a 12-month contract basis in the first instance, with the possibility of extension, depending on project commitments and candidate’s career objectives.

Duties

The appointee will be required to:

1. Oversee the administration and general management of the research projects, including support with grant and ethics application and liaise with relevant stakeholders in preparing research agreements.
2. Conduct research fieldwork, including recruiting and managing participants, data collection, data analysis.
3. Assist in preparing reports and meeting materials for stakeholders.
4. Work on other tasks as assigned.

Qualifications

The applicant should:

1. have a Degree in nursing or health-related disciplines; preferably with some experience in research;
2. be proficient with Microsoft Office Suite applications, e.g., Microsoft Word, Excel, PowerPoint;
3. have excellent project management, organisation, coordination, and problem-solving skills;
4. have excellent interpersonal skills and written and verbal communication skills in English;
5. be a good team player with a strong sense of responsibility;
6. be highly motivated individual with capacity to work independently;

Qualifications

1. Experience in planning, managing, and implementing healthcare-related research projects will be an added advantage;
2. Proficiency in data analysis applications (e.g. SPSS, Jamovi, Stata, R & etc) will be an added advantage;
3. Proficiency in the Chinese Language will be an added advantage as the position will require work with Chinese-speaking participants.

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in research and project management.

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 Fellow position in Professor Brian Kennedy’s lab, part of the Department of Biochemistry and the Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab focuses on basic, clinical and transformative research to add healthy year of life by developing interventions to delay ageing and chronic disease onset, increase healthspan and improve life quality. Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator and team members to investigate the effects of repurposing drugs and natural products influencing healthspan and lifespan in mice and biological clocks of ageing, work on ageing and system biology to unravel the ageing networks. The RF’s principal role will be to work on modelling, simulating, and analyzing biological processes related to ageing biology.

Main Duties and Responsibilities

The Research Fellow will liaise with the relevant personnel in the department to smooth the process of modelling, simulating, and analyzing biological data and will be accountable to the Principal Investigator (PI). The RF will be able to:

1. Conduct innovative research at the intersection of AI, complex systems science, and dynamical systems related to aging. This involves formulating hypotheses, designing experiments, and analyzing data using advanced computational methods;
2. Develop and implement computational models to simulate biological aging processes. This includes using techniques from physics to model complex biological systems and employing AI to predict outcomes;
3. Utilize bioinformatics tools to analyze large datasets, such as lipidomic and epigenetic data, to uncover patterns related to aging and age-related diseases;
4. Apply machine learning algorithms to interpret biological data, improve understanding of aging mechanisms, and potentially identify new biomarkers or therapeutic targets;
5. Collaborate with interdisciplinary teams across various departments, including biologists, data scientists, and physicists, to integrate findings and methodologies. Communicate research findings through scientific publications and presentations; and
6. Mentor graduate students or junior lab members, provide guidance on research projects, and contribute to the overall intellectual environment of the research group.

Qualifications

The applicant should:

1. Hold a PhD in Biochemistry/Computational Biology/Bioinformatics/Physics or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have strong knowledge on aging biology, complex systems science, computational biology and machine learning as well as proficiency in programming languages such as Python and R; and
4. have experiences in handling and combining large scale multiomics datasets.

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.

We are seeking a Data Analyst with a fervent interest in large-scale datasets and experience in analyzing molecular -omics datasets, such as transcriptomics, proteomics, and metabolomics. The ideal candidate will have a solid background in computatier science and be eager to contribute to large-scale multi-omic projects by performing tasks ranging from data processing to comprehensive analysis of multiomic data. Responsibilities include executing various data analyses, such as differential analysis, employing machine-learning techniques, conducting both supervised and unsupervised clustering, statistical modelling, and developing deep learning neural networks.

Job Requirements:

• Bachelor"s or Master"s degree in Computer Science or a related field.
• A strong background in brain tumor research.
• Demonstrated expertise in bioinformatics and the analysis of single cell sequencing data.
• Proficiency in using AWS to deploy machine learning and deep learning models.
• Experience in Spatial-omics data analysis is advantageous.
• Skilled in R, Python, Java.
• Capable of working autonomously with a proactive mindset.
• A positive attitude towards learning, along with being responsible and well-organized.
• Excellent abilities in critical thinking, communication, and interpersonal relationships.

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) Design and Synthesis of electrocatalyst for oxygen evolution reaction of water electrolysis.
(2) Structure characterization and simulation of the obtained electrocatalysts.
(3) Performance test and mechanism study of the obtained electrocatalysts.

Qualifications

Master degree in MSE, Chemistry or other relevant majors.

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 is on transforming food waste into digestates containing active biomolecules to enhance vegetable growth. Utilizing anaerobic digestion, we aim to recover essential nutrients such as N, P and K from food waste and integrate them into waste-derived hydrogel/biochar for optimal vegetable cultivation, thereby closing the waste loop in farming practices.

The specific aims are:

1. To release nutrients from food waste through anaerobic digestion and optimize the co-digestion process with waste-derived hydrogels.
2. To recover nutrients from the digestate to produce a novel biofertilizer.
3. To develop a prototype of an integrated food waste nutrient recovery system for pilot-scale testing.

Qualifications

• Possess a PhD degree in bioscience, chemical/ biological/ environmental engineering, or other related fields.
• Prepare reports and presentations regularly.
• Publications in the relevant work.
• Team player with good communication and interpersonal 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 Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi­disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

The MBI is currently inviting applications from outstanding candidates for the Principal Research Scientist position. The institute seeks candidates with a commitment to both independent and collaborative interdisciplinary research in the area of mechanical and dynamical processes in cell, tissue and organ development, aging, repair and regeneration. More consideration will be given to candidates with a strong track record in incorporating computation and modelling with experimental work, and a strong publication record as an independent researcher.

Qualifications

Candidates should have a Ph.D. and post-doctoral training in the relevant fields, demonstrated excellence in research, and an interest in teaching. The selected candidate is expected to demonstrate significant creativity and independence in research, and participate in teaching at the graduate and undergraduate levels.

To apply, candidates should send the following materials:

• Cover letter
• Full Curriculum Vitae with bibliography
• Statement of research interest & Research plan
• Teaching statement
• Contact details (name and email address) of at least 4 referees

Successful applicants will hold joint appointments as Principal Investigators at the MBI and can expect internationally competitive salary and benefits. Shortlisted candidates will be invited for a campus visit interview.

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 group of Assistant Professor Ho Wen Wei (Presidential Young Professor) at the Department of Physics, Faculty of Science, NUS, and Centre for Quantum Technologies (CQT), is seeking a Senior Research Fellow to work on theoretical aspects of nonequilibrium quantum many-body physics and quantum information science.

The main responsibilities of the position include:

- Developing theoretical methods to predict and characterize nonequilibrium quantum many-body phenomena in synthetic quantum matter (cold atoms, Rydberg atoms, trapped ions,etc.), utilizing the lens of quantum information theory (e.g., entanglement, tensor networks). Specific topics include deep thermalization, measurement-induced randomness, measurement-induced entanglement phases, dynamical/driven phases of matter, quantum many-body scars etc.

- Developing quantum information science applications like quantum simulation of complex many-body phenomena, and quantum state preparation and tomography protocols, specifically tailored for current and near-term quantum technologies etc. Analytical calculations and numerical methods will be employed to ascertain the validity and performance of the proposed applications.

There will be opportunities to collaborate with world renowned experimental groups of cold atoms, superconducting circuits and Rydberg atoms, including those at the Centre for Quantum Technologies (CQT) in Singapore, located next door.

Qualifications

• Qualifications / Discipline: PhD in Physics or closely-related field.

• Skills: Candidates should be familiar with quantum many-body theory and quantum-information theoretic tools to analyse them, like entanglement and tensor networks etc. Previous experience with experiments involving quantum simulators is a plus, and expertise in computational methods (exact diagonalization, DMRG, Monte Carlo) is also highly desirable.

• Experience: Candidates should expect to have a PhD at the start of appointment and have published a number of papers relevant to the field of research, in reputable journals.

We are seeking a Data Analyst with a fervent interest in large-scale datasets and experience in analyzing molecular -omics datasets, such as transcriptomics, proteomics, and metabolomics. The ideal candidate will have a solid background in computatier science and be eager to contribute to large-scale multi-omic projects by performing tasks ranging from data processing to comprehensive analysis of multiomic data. Responsibilities include executing various data analyses, such as differential analysis, employing machine-learning techniques, conducting both supervised and unsupervised clustering, statistical modelling, and developing deep learning neural networks.

Job Requirements:

• Bachelor"s or Master"s degree in Computer Science or a related field.
• A strong background in brain tumor research.
• Demonstrated expertise in bioinformatics and the analysis of single cell sequencing data.
• Proficiency in using AWS to deploy machine learning and deep learning models.
• Experience in Spatial-omics data analysis is advantageous.
• Skilled in R, Python, Java.
• Capable of working autonomously with a proactive mindset.
• A positive attitude towards learning, along with being responsible and well-organized.
• Excellent abilities in critical thinking, communication, and interpersonal relationships.

The Signature Research Programme in Neuroscience and Behavioural Disorders (NBD) is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders.

The selected candidate will perform a variety of research activities which include planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Manage the day-to-day operations of the laboratory.
• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Assist researchers in programming, data analysis and literature review in various research projects.
• Contribute to project management, presentations and publications of research work.
• Assist with general upkeep of laboratory needs, maintain safety protocols, provide technical support and establish work procedures to ongoing research projects.
• Perform other related duties incidental to the work described therein.

Job Requirements

• Bachelor’s Degree with Honours in Science with minimum 2 years of relevant laboratory managerial experience.
• Previous working experience with Drosophila or mammalian cells is required.
• Have an extensive working experience in molecular biology
• Meticulous, well-organised and have good time management to work in a fast-paced environment.
• Possess strong interpersonal communications skills with excellent written, oral communication and computer skills.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

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

Highly motivated and creative postdoctoral candidates are sought to work at the Yang Zhang Lab, Cancer Science Institute of Singapore, School of Computing, and Yong Loo Lin School of Medicine, at National University of Singapore.

Candidates, who are interested in artificial intelligence (AI) and deep machine learning, protein and RNA structural prediction, protein and peptide design and engineering, and/or protein-ligand docking and drug screening, are encouraged to apply. We are particularly interested in the development of new AI-based approaches to cancer therapeutics, including antibody design and discovery, T cell receptor T cell therapy (TCR-T), and peptide-drug conjugate (PDC) cancer therapy. Focus of our laboratory is more on new and creative algorithm/platform developments rather than application of existing programs. Therefore, skills in computational coding and creativity in scientific method design, together with interest in computational cancer medicine, are critical to the position. Previous experience in machine learning will be a plus. More details on our projects can be found at https://zhanggroup.org.

To apply, please send your CV, a brief description of your research interest and plan, and contact information of three professional referees.

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 Saw Swee Hock School of Public Health at the National University of Singapore is currently seeking a dedicated Research Assistant/Associate in Field Epidemiology to join a multidisciplinary team. This position offers a unique opportunity to engage in innovative research projects in Singapore and Southeast Asia across a range of topics, including spatial epidemiology, infectious disease modelling, ecology, entomology and machine learning. This position will contribute to field epidemiology research projects on the impacts of environmental change on vector-borne and zoonotic disease risks. This work will allow you to collaborate with a broad group of researchers through the Climate, Environment and Health programme (https://sph.nus.edu.sg/research/climate-environment-and-health-programme). You can find out more information about the work led by A/Prof Kimberly Fornace at https://sph.nus.edu.sg/faculty-directory/fornace-kimberly/

Key responsibilities:

• Plan and conduct field epidemiological studies on vector and wildlife distribution across land use gradients in Singapore and Southeast Asia;
• Collaborate with multidisciplinary teams of researchers, including epidemiologists, entomologists, wildlife ecologists and public health experts at universities and government agencies;
• Contribute to design and analysis of field and infectious disease modelling studies in collaboration with project partners;
• Document research output including cleaning, analysis and interpretation of data, development of standard operating procedures and drafting progress reports;
• Present research findings at national and international conferences and publish results in peer-reviewed scientific journals;
• Contribute to grant proposals and reports for funding agencies.

Review of applications will begin immediately and continue until the position is filled. The initial appointment will be for one year with the possibility of renewal based on performance and funding availability. There will be an opportunity to pursue a PhD at NUS if interested. The grade of appointment will be based on qualifications and years of relevant work experience.

Qualifications

• Master’s degree in a relevant field such as epidemiology, entomology, ecology, geography or a related discipline
• Previous experience with field or laboratory studies and willingness to work in remote locations
• Experience with statistical analysis using programmes such as R or Stata
• Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences
• A history of peer-reviewed publications is preferred

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

A senior post-doctoral position with more than 3 years post Ph.D experience in Biomedical research. Candidate should ideally have cancer biology background with expertise in mitochondrial biology and cellular apoptosis. A suitable and successful candidate will be given the responsibility to design and conduct experiments with specific abilities in cell death and apoptosis using various quantitative and functional assays. The candidate should be available to commence as soon as possible.

Qualifications

• Previous experience in functional genomics/precision oncology approaches to work on resistant models of lung cancers to identify mechanism(s) of resistance in resistant models of lung cancers.
• Experience with the development of functional assays for phenotypic screening, involving the use of high-throughput flow cytometry, high-content drug screening, and large scale data analysis.
• Willingness to pick up mentorship position for Ph.D students and junior members.
• Previous experience with handling and analysing human clinical samples will be preferred.
• A Ph.D in cancer biology (>3 years)
• Strong track record of research achievement supported by high-quality publications in relevant field (BCL-2 and cell death biology).
• Skills in hands-on use of relevant research methods.
• Able to work independently, with strong problem-solving ability.
• Effective communication and presentation skills, with a strong track record of presentations at international conferences.

As Senior Specialist, Global Insights & Research you will be responsible for driving market research and competitive intelligence projects in specific markets or customer segments, identifying key strengths and weaknesses of existing or potential competitors, and opportunities for Amadeus.

You will play a key role in setting up and maintaining the research methodology and processes to identify trends and insights in the market that bring the customer’s and the market’s voice to the decision-making process and provide decision-makers across TU with the information they need to make informed decisions.

Responsibilities:

Insights & Research strategy

• Lead the development and execution of consistent research and insights processes within Travel Unit
• Build a network of insights sources, both internally and externally, that provide high-quality insights in a cost-effective manner and within an acceptable timeframe
• Conduct primary and secondary research, analyzing and synthesizing information and data
• Define and implement processes for evaluating and executing research requests from teams across TU
• Drives integrated performance reporting and customer engagement analytics leveraging innovative tools and channels.

Market competitive intelligence

• Develop a deep understanding of Amadeus' product portfolio and competitor landscape across TU
• For strategic target markets, identify and analyze data sources (qualitative and quantitative), such as market research surveys, customer feedback, and sales data to gain a deep understanding of the competitive landscape and help the company to stay ahead of the competition by identifying new market opportunities and trends.
• Execute gap analysis to identify areas where the company is underperforming or excelling, compared to competitors
• Conduct interviews with internal and external sources to better understand competitors products, go-to-market strategy, and win/loss results
• Track industry trends and identify new market opportunities, as well as analyze and interpret customer data to gain insights into consumer behavior and preferences

Drive input to strategy and decision-making

• Provide actionable insights and differentiators on key competitors across the product portfolio
• Create compelling content for executive presentations
• Create and maintain competitive decks, battle cards, playbooks, SWOT, win-loss analysis
• Bring real customer & market insight one click-away from every Amadeus employee

About ideal candidate

• Bachelors or a Masters degree in Marketing, competitive Intelligence, industry intelligence, strategy or business development.
• Proven 8 years work experience in Market/Customer Insights, Marketing Intelligence or Competitive Intelligence
• Experienced leader with a track record of leading insights teams and a deep understanding of market research techniques.
• Experience and deep knowledge of the global Travel Technology industry
• Strong customer centric background.
• Proactive, and able to provide evidence of, discovering new trends and key insights to support future business decisions.
• An ability to simplify complex research into meaningful actionable insights
• Excellent communicating and influencing skills, with the ability to inspire, collaborate and influence.
• Able to build long-lasting professional relationships with leading teams
• Experience in matrix organizations
• Able to manage multiple projects and tasks simultaneously, meet tight deadlines, prioritize workload and achieve effective results even in an ambiguous environment
• Highly adaptable and capable of evolving a plan based on new factors/findings
• Effective decision-making with limited information or direction
• Demonstrates active listening, giving constructive feedback, great verbal and nonverbal communication, respect to other’s people opinions

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 spin and energy lab at National University of Singapore invites applications for research fellow positions in spintronics. In this position, you will carry out experimental research on novel spintronic devices for memory and computing applications.

Qualifications

• Possess a recognized PhD degree in physics or nanoelectronics.
• 4-5 years of experience in experimental device/spintronics research.
• Experience in electrical transport measurements and thin film deposition/characterization.
• PCB based system engineering and FPGA control
• 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

A Research Fellow position for optical coherence tomography biomedical Raman spectroscopy is available in the Optical Bioimaging Lab in Dept of Biomedical Engineering, National University of Singapore.

Job Requirements

• The candidates should have a PhD degree in one of the following disciplines: Applied Physics/Biophysics, Optical Engineering, Biomedical Engineering or equivalent.
• Preferably with hands-on experience in fiber-based interferometry, endoscopy, optical instrumentation, biomedical optics and imaging, such as OCT, optical spectroscopy, microscopy, and fiber optics design and fabrication.
• Preferably with experience in cell culture and tissue handlings.
• Proficiency in fiber optics scanning and interferometry design and fabrication, zmax, and programming using C++, Matlab, Labview are advantageous.
• Open to fixed term contract.

Interested applicant can send his/her application to (1) NUS career portal and (2) a copy of their detailed CV with three references.

Visit Optical Bioimaging Lab link at https://www.eng.nus.edu.sg/bme/staff/dr-huang-zhiwei/

About Us:

EDDC is a dynamic and rapidly growing organisation committed to excellence and innovation. We are seeking an experienced Executive Manager to provide high-level support to our Senior Management/Leadership Team (C-Suite executives) at EDDC, ensuring their schedules are efficiently managed, administrative briefs are meticulously prepared, and contracts (NDA and CDA) for scientific procurement and project needs are expertly managed.

Job Description:

The successful candidate will be supporting the C-Suite executives at EDDC, you will work closely with executives, deliver efficient secretarial and administrative support in a well-organised manner to ensure daily administrative tasks run smoothly. You will also be responsible for contract management, particularly Non-Disclosure Agreements (NDAs) and Confidentiality Disclosure Agreements (CDAs) related to scientific procurement and projects.

Key Responsibilities:

1. Schedule Management : Effectively manage and optimise the calendars of C-Suite executives, coordinating internal and external meetings, appointments, and travel arrangements.

2. Administrative Briefs : Prepare comprehensive and confidential administrative briefs, reports, and documentation for the C-Suite, ensuring accuracy and timely delivery.

3. Contract Management : Oversee the creation, execution, and management of NDAs and CDAs for scientific procurement and project requirements, ensuring compliance with legal and organizational standards.

4. Communication Liaison : Act as a central point of contact between C-Suite executives and various internal and external stakeholders, ensuring seamless communication and responsiveness.

5. Develop meeting agendas : Organise, facilitate, and follow up on executive meetings, including preparing agendas, minutes, and action items.

6. Strategic Support : Assist in strategic projects, including research, data analysis, and providing insights to support decision-making.

7. Confidentiality : Maintain the highest level of confidentiality and discretion in handling sensitive information.

8. Team Collaboration : Collaborate with administrative teams to streamline processes and support cross-functional initiatives.

Requirements :

• Diploma/Bachelor Degree in Business Administration, Management, or a related field.
• Proven experience in executive support, scheduling for senior executives, and contract management
• Exceptional organisational and time management skills
• Excellent written and verbal communication skills
• Proficiency in office software and scheduling tools (e.g. Microsoft Office)
• Strong problem-solving and decision making abilities
• Ability to work under pressure and adapt to changing priorities
• Prior experience in a similar role supporting C-Suite executives
• Project Management experience
• Familiarity with contract management software and legal documentation

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.

Wide Band Semiconductors group of IMRE is looking for a highly motivated Senior Scientist for a project related to SiC bulk growth. The project aims to develop SiC boules using both resistive and inductive heating technologies. The candidate will work together with the wide bandgap R & D team to perform materials growth and characterization.

Main Responsibilities:

• To grow SiC bulk crystals for the development of 4H-SiC substrates
• Develop thermal models and growth iterations to reduce defect density in bulk SiC
• Project execution with team work to meet target deliverables from various types of growth furnaces
• Provide technical inputs to metrology team for analysis of wafering results and preparation of reports

Job Requirements:

• PhD in Physics/Materials Science/Engineering, or related fields with 5 years of experience
• Experience in bulk crystal growth, Epitaxy of SiC or other wide bandgap materials
• Prior hands-on experience on crystal growth processing equipment, data acquisition and analysis, good 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 the position of Research Assistant in the Department of Information Systems and Analytics, 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 will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; 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

The spin and energy lab at National University of Singapore invites applications for research fellow positions in spintronics. In this position, you will carry out experimental research on novel spintronic devices for memory and computing applications.

Qualifications

• Possess a recognized PhD degree in physics or nanoelectronics.
• 4-5 years of experience in experimental device/spintronics research.
• Experience in electrical transport measurements and thin film deposition/characterization.
• PCB based system engineering and FPGA control
• 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 seeking a highly motivated candidate as a research fellow in the Quantitative Proteomics Core in collaboration with the Kappei lab at the Cancer Science Institute of Singapore (CSI). Our team addresses research questions on nucleic acid-protein interactions with quantitative mass spectrometry, cell biological and genetic approaches applied to cancer research and we further support research activities at CSI as part of the Quantitative Proteomics Core with quantitative proteomics solutions to study protein expression, protein interactions as well as post-translational modifications.

Proteins are the functional agents in cells, yet the systematic global characterization of their expression and spatial distribution has largely remained limited to the analysis of RNA as a proxy. To close this gap, we have recently expanded the Quantitative Proteomics Core to Clinical Proteomics applications with dedicated instruments including a timsTOF fleX mass spectrometer that allows for dual LC-MS/MS and MALDI imaging analysis. The research fellow will develop innovative workflows for both untargeted and targeted spatial protein imaging applied to the analysis of cancer tissues. We are offering a position in a stimulating, diverse and international research environment as well as the opportunity to gain expertise in a highly demanded technology using state-of-the-art instruments.

Qualifications

Requirements:
• PhD in life sciences, chemistry, medicine or related fields
• Strong background and working knowledge of basic molecular and biochemical techniques
• Excellent communication skills and good team spirit
• Ability to solve problems independently
• Penchant for method development
• Strong publication record
• Preference will be given to candidates with
o Experience with mass spectrometry (sample preparation and instrument operation/maintenance)
o Experience with image analysis and/or histology

Applications should include in a single PDF a 1-page cover letter, curriculum vitae and the names and contact information of at least 2 professional references.

Further information on the Cancer Science Institute of Singapore as well as working at CSI can be found on our website: www.csi.nus.edu.sg/web/careers/

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 Dr. Xinwei Li on computational and experimental optics under a project focusing on laser control of charge density wave systems.

The main responsibilities of the position include:

1. Numerical modeling of charge density wave systems and semi-quantitatively estimate the effect of laser excitation.

2. Construct optical instruments to search for signatures of laser control of charge density wave materials.

Qualifications

• Qualifications / Discipline: B.Sc. in Physics or related areas

• Skills:

(1) Numerical skills for simulating charge density wave materials

(2) Experimental techniques of working with optical setups and lasers

• Experience: Prior working experience as a research assistant would be a plus

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 Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi­disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

The MBI is currently inviting applications from outstanding candidates for the Senior Research Scientist position. Particularly, the MBI seeks applicants with a commitment to both independent and collaborative interdisciplinary research in the area of mechanical and dynamical processes in tissue growth and morphogenesis.

Qualifications

Relevant experience in the study of tissue growth and morphogenesis, or mechanobiology in general, is highly desirable, as is an established track record in group leadership, mentoring, grantsmanship, and high impact publications. The successful candidate is expected to carry out research that complements and synergises with the core expertise of research currently being carried out in MBI and NUS. The successful candidate is also expected to establish collaborative, multidisciplinary research projects that actively integrate and leverage the expertise of principal investigators at MBI.