Total 216 Others science job vacancies in D05 Clementi New Town, Hong Leong Garden, Pasir Panjang

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Job description:

The National University of Singapore invites applications for the position of Visiting Associate Professor in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems. The Visiting Associate Professor will be responsible for teaching and research in some of these areas: computer architecture, media, database, algorithms, parallel and distributed systems, etc. Only shortlisted candidates will be notified.

Qualifications

Job requirements:

A PhD degree in computer science or related areas.

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 Program Officer plays a pivotal role in supporting the efficient administration of research grants, managing programmatic outreach initiatives, and facilitating the smooth operation of research graduate programs. This position involves close collaboration with finance, HR, and various departments within the organization, as well as external partners and stakeholders. The Research Program Officer ensures compliance with grant requirements, oversees programmatic activities, and contributes to the dissemination of research findings and program achievements.

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. At least 2 referees including their name, contact information (email) and relationship to applicant

Job Duties

Grant Finance & HR Administration:

• Assist in the post-research grant awards process, including tasks in the grant iRIMS system.
• Track research grant budgets, manage virements, procurement, and claims.
• Liaise with the Finance Team for effective financial management of program affairs.
• Support HR matters, including liaison with NUS HR, payroll funds check, and induction of new recruits.
• Maintain records of program research staff list and profiles on websites.

Programmatic Outreach:

• Manage research program membership and generate publication bibliometrics for reporting purposes.
• Collaborate on program initiatives and partnerships with various NUS departments/schools.
• Organize virtual and face-to-face research events, fundraising activities, workshops, seminars, and symposiums.
• Prepare and update events on newsletters and websites, manage media relations, and disseminate research news.

Research Graduate Programme:

• Support graduate and fellowship program matters, acting as a liaison with NUS Medicine and the Division of Graduate School.

Other Duties & Responsibilities:

• Maintain organized documentation and correspondence, including letters of award, approvals, amendments, etc.
• Manage computerized grant/financial data and progress reports.
• Perform any other duties assigned by senior management

Qualifications

• Bachelor of Science (BSc) degree, preferably in Life Sciences or a related field of study.
• 3 to 4 years of experience in a similar position.
• Experience in research administrative management involving multiple faculties, including HR, Grants budget, Outreach, and Finance.
• Proven track record of coordinating and tracking multiple projects.
• Background in life sciences preferred.
• Familiarity with SAP/iRIMS system is advantageous.
• Strong multitasking abilities and capability to work independently while also being an effective team player.
• Proactive, committed, creative, meticulous, and results-oriented approach to work.
• Excellent writing and reporting skills.
• Exceptional communication and presentation abilities.
• Good interpersonal skills to collaborate effectively with colleagues and external stakeholders.

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 Michael Choi on sum-of-squares method under a project on Markov chains and their applications.

The main responsibilities of the position include:

• Assist the PI in conducting literature review on sum-of-squares method, information theory and Markov chains
• Assist the PI in drafting research papers on Markov chains
• Assist the PI in Markov chains simulation

Qualifications

• Qualifications / Discipline: Bachelor degree in Mathematics, Statistics, Computer Science or related fields

• Skills: Knowledge on Markov chains, stochastic algorithms, information theory and sum-of-squares method.

• Experience: 0-1 year.

ParallelChain Lab is seeking AI enthusiasts to join our Data Science team! Don't be misled by the intern title – you'll be deeply involved in our cutting-edge machine learning projects.

Location: Singapore

Job Type: Full-time / Part-time

Roles & Responsibilities

• Assist in our machine learning projects (e.g., data collection, pre-processing, model training and evaluation).
• Transform data into valuable insights.
• Automate workflows to enhance performance.
• Support the development of FinTech applications.

Requirements

• Fresh grads or currently pursuing a degree in Science, Computer Science, or Mathematics disciplines.
• Knowledge of Python.
• Experience with Machine Learning libraries (e.g. PyTorch, TensorFlow) and image processing.
• Experience with DevOps tools (e.g. Docker, Nginx) is desirable.
• Fluent in English.
• Full-time availability preferred.

Work Environment & Benefits

• A fun and multicultural team.
• A make-it-happen culture.
• Regular employment is typically offered upon satisfactory completion of the internship.

Internship application requires the following:

• Resume
• Recent transcripts (screenshots are acceptable if an official copy is unavailable)
• Specify the time frame(s) you're available for internship and whether your internship will be full-time or part-time.

Teacher of Secondary Science (Maternity Cover)

An outstanding and inspirational Science Teacher is required for August 2024 until December 2024 to cover Maternity Leave. A desire to teach through Years 7 to 13 is essential and the ability to teach IGCSE Science and your specialist subject (Biology, Physics, Chemistry or ESS) at IB Diploma at both SL and HL. Candidates with IB Diploma experience are particularly welcome to apply.

The successful candidate will be passionate about driving high quality teaching and learning in an inclusive school and committed to making a difference to the lives of the young people in their care. They will be a reflective practitioner and an effective collaborator, relentless in the pursuit of ‘better’ practice. Staff contribute to our pastoral care and well-being programme and to our co-curricular programme, making a full contribution to our vibrant community. A pastoral leadership role may be available, so candidates are strongly advised to indicate interest in applications.

We are an inclusive international school committed to ‘success for all’, offering diverse programmes to meet the needs of our learners.

The successful candidate will be passionate about learning and committed to making a difference to the lives of the young people in their care. They will be a reflective practitioner and an effective collaborator, relentless in the pursuit of ‘better’ practice.

We are a school with a strong sense of community amongst staff and students. Staff contribute to our pastoral care and well-being programme and to our co-curricular programme, making a full contribution to our vibrant community.

Safeguarding

At Nord Anglia Education we are committed to providing a world class, safe, happy environment in which children and young people are able to thrive and learn. We are committed to safeguarding and promoting the welfare of all our students irrespective of race, ability, religion, gender or culture.

All post holders in regulated activity (having regular unsupervised contact with children) are subject to appropriate national and international vetting procedures including satisfactory criminal record checks from both your country of residence/birth and any country of residence within the last 10 years.

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 Tan Yan Shuo on statistical and machine learning theory under a project on the theoretical foundations of decision trees and ensembles.

The main responsibilities of the position include:
Proving theorems, forming new theoretical hypotheses, performing simulations, writing papers to communicate results, all under the PI’s direction.

Qualifications

• Qualifications / Discipline:
PhD in Statistics, Computer Science, or related field.

• Skills:
Strong mathematical training, deep understanding of statistical machine learning theory, especially in decision trees and ensembles.

• Experience:
Has several first author papers published in top machine learning venues (ICML, NeurIPS, AISTATS, JMLR).

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 Senior Research Fellow (Data Science & Statistics) in the Centre for Research in Health Systems Performance, Yong Loo Lin School of Medicine.

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

Job Description

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw See Hock School of Public Health.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 2-year full-time appointment at the academic rank of Senior Research Fellow (particularly strong applications at the level of Research Fellow will be considered). An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. There is the possibility to move to tenure track depending on performance. Start date is flexible, with the position expected to commence in the first half of 2024.

Purpose of the post

CRiHSP is hiring a highly motivated and experienced postdoctoral researcher. The successful candidate will bring a combination of technical expertise in data science and applied statistical methods in health systems research. They will make a significant contribution to setting up and developing the centre at this crucial stage in relation to its research, training, and evaluation and engagement areas of activity. The successful candidate will report to the CRiHSP Director of Research. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future of healthcare and clinical practice.

Main Duties and Responsibilities

The responsibilities include:

• Establishing an independent research programme as aligned with CRiHSP priorities by securing external funding;
• Supervising of junior research staff in data collection, analysis and dissemination;
• Contributing to research programmes and projects led by other researchers in CRiHSP;
• Facilitating the integration and curation of clinical and other routinely collected data across (NUHS)
• Contributing to postgraduate course design and teaching and on the job training of evaluation fellows; and
• Mentoring of students and junior researchers.

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances. In addition to these duties, the post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• A recognized Doctoral degree in Data Science, Statistics or a closely related field with a strong post-doctoral research record (essential)
  

Experience

• At least 4 years' postdoctoral experience
  Proven track record in handling and analyzing large healthcare dataset (essential)
  Track record of publishing in international peer-reviewed journals (essential)
  Researchers with existing research activities related to developing and using artificial intelligence methods in the context of health systems research are particularly encouraged to apply
  

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
  Strong leadership skills with the ability to work independently and as part of a multidisciplinary team (essential)
  Highly developed problem-solving skills and adept at managing complex research data (essential)
  Evidence of potential to generate and maintain an independent stream of funding (essential)
  Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  Ability to work with culturally diverse populations (essential)
  

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Prof Jose M Valderas at jmvalderas@nus.edu.sg.

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) as well as a cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Materials Science and Engineering invites talented academics with excellent research track records in science, technology and engineering to apply for appointments as NUS Presidential Young Professors.

Successful candidates will receive:
• A tenure-track position with an attractive salary package as an assistant professor at NUS
• Up to SGD 1 million in a start-up research grant + Scholarships to hire PhD students
• An award of SGD 250,000 in white space funding

About the University

Consistently ranked as one of the top universities in Asia and the world, NUS is internationally respected for its high-quality multi-disciplinary research that addresses complex and critical issues facing Asia and the world. NUS was recently placed 8th in the Quacquarelli Symonds World University Rankings 2024.

About the College

The College of Design and Engineering (CDE)’s 10 Departments and Division as well as 10 corporate laboratories and research centres build on the convergence between the disciplines of engineering, architecture, and design to offer a distinctive interdisciplinary educational experience for our students and foster a cutting-edge multi-disciplinary research environment for our researchers.

To learn more about our College and department, please visit:

• https://cde.nus.edu.sg/
• https://cde.nus.edu.sg/mse/

Qualifications

Applications

Candidate should have/is completing a PhD degree in Materials Science and Engineering or related field, preferably with teaching and post-doctoral research experience.

Applications for the NUS Presidential Young Professorship can be submitted throughout the year.

You can also contact us at msebox1@nus.edu.sg if you require more information.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of History at the National University of Singapore (NUS) invites applications for a Visiting Associate Professor in the History of Science and Technology to commence in late July-August 2024. Candidates must have a Ph.D. in History, with a focus on the History of Science and Technology. They should also demonstrate experience in research and teaching in the History of Science and Technology.

According to the QS Rankings 2024, the Department of History is ranked 11th among university history departments worldwide, and 1st in Asia. It is one of fifteen Departments, a Program, and a Language Centre within the Faculty of Arts and Social Sciences, and Southeast Asia and East Asia are areas of special strength for the Department, which consists of more than thirty faculty members with research interests in various aspects of Asian, American, and European history, as well as business, environmental, international, legal, maritime, and military history, and science and technology studies.

Application dossiers should include a complete list of publications, research interests, and teaching experience, as well as any other relevant information.

Review of applications will begin on 2 May 2024. The search will continue until an appointment is made.

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 School of Computing at the National University of Singapore (NUS) invites applications for educator-track positions as Senior Lecturer or Lecturer in the following areas:

a) Artificial Intelligence

b) Algorithms and Theory

c) Computational Biology

d) Database

e) Media

f) Programming Languages & Software Engineering

g) Security

h) Systems & Networking

The NUS School of Computing is highly ranked internationally. The School consists of two departments: Computer Science, and Information Systems and Analytics, offering a diverse spectrum of degree programmes. We have a thriving environment in computer science research and are looking for someone who can bring in the latest and most relevant industrial experience into curriculum so as to further enhance the value proposition of our graduates.

For more information, visit out School's website at https://www.comp.nus.edu.sg/cs/recruitment/educator-track/

Qualifications

Candidates should possess a PhD degree in Computer Science or Information Systems or equivalent.

Candidates are expected to conduct classes for the school's continuing education programs, and to support regular teaching, if needed. For Senior Lecturer and Associate Professor positions, teaching experience or relevant industry experience will be preferred. Besides relevant background and experience, we are also looking for someone with a passion for imparting the latest knowledge in computing to students in our programs.

Job Description

The Department of Political Science at the National University of Singapore invites applications for the position of Head of Department at the rank of full professor or higher (endowed chair professor). Research and teaching specialisation is open, although candidates should contribute to one or more of the Department’s four subfields: comparative politics, governance and public policy, international relations, and political theory.

Interested candidates should submit a CV, cover letter that addresses the qualifications outlined above, research statement (approx. two pages), teaching statement (approx. two pages), and names and addresses of at least four references.

The position is expected to commence in January or July 2025. Questions about the position should be directed to the Search Committee Chair, Professor William Bain (wbain@nus.edu.sg).

Exceptional candidates at the rank of senior associate professor are welcome to apply, subject to being promoted to full professor upon appointment at NUS.

Qualifications

The successful candidate will have an internationally recognised record of research and publication, as well as a record of very good teaching. Exceptional leadership skills are essential, as is a strong commitment to intellectual and methodological pluralism. Other qualifications include evidence of substantial administrative experience; a record of promoting faculty and student success; a commitment to collegiality and diversity; and excellent interpersonal, communication, and organisational skills. The Head is expected to provide leadership in co-creating with department faculty to implement a strategic vision, consistent with NUS’ research and teaching mission, which advances the Department’s international profile and reputation. Research and teaching expectations may be reduced (e.g. one course teaching commitment per year), given the Head’s crucial service role.

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.

Assistant/Associate Professor

DEPARTMENT OF COMPUTER SCIENCE

Location: 510 Dover Road, Singapore

Description: Full-time Assistant Professor in Department of Computer Science, DigiPen Institute of Technology Singapore. We expect to make an appointment at the Assistant Professor Level or higher, commensurate with the candidate’s academic credentials and prior experience.

Responsibilities:

• While teaching some combination of the above subjects as determined by the selected candidate's unique synthesis of interests, he/she is also expected to teach general computer science subjects (such as operating systems, data structures, design and analysis of algorithms) at the university level. Other responsibilities include academic advising, undergraduate research advising, curriculum development, institutional service and appropriate scholarly activity.

Education and Experience Qualifications:

• PhD degree in Computer Science, Computer Engineering, or a closely related field.
• At least 4 years of industry or research experience in the field of study or a closely related area.
• Strong background in one or more following areas: C/C++ programming, Computer Graphics, Computer Architectures, Parallel Processing, Computer Networks, VR/AR, Computer Vision, Data Analysis, Distributed Computation, Cyber Security.
• Work/Teaching experience or exposure to one or more following areas: game/interactive-simulation, AI, machine learning, computer vision, data science, image processing, etc.
• 2D/3D graphic programming (OpenGL or DirectX) is an added advantage.
• A commitment to teaching excellence and scholarship is also expected.

Starting Date: Immediate

Salary: Salary is competitive and commensurate with experience and education.

Application: Review of applications will begin immediately and continue until the position is filled. For a complete application, please email a letter of interest, curriculum vitae, and statement of teaching philosophy, transcript of highest degree earned, and three letters of recommendation.

Electronic submission is required with documents in either Word or PDF format attached to an email and sent to:

Email: singapore-jobs@digipen.edu with subject line “Full-time Faculty of Computer Science”.

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 job holder is to work with PI and the research team to conduct Research Characterizing Airborne Pollutants in Urban Environment.

The research activities involve (but not limited to):

• Operating a wide variety of instruments, data retrieval
• Laboratory chemical analyses and speciation
• Modeling chemical reactions of airborne pollutants
• Assisting and contributing to project deliverables, including,
• Planning and conduct experiments, data analyses, progress reporting, report writing, etc.

Qualifications

One or more of (but not limited to) the following:

• Fast learner capable of conducting independent research and proficient literature search, review & summary with strong background in chemical engineering / chemistry / physics
• Sufficient experiences in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels, etc
• Modeling chemical reactions of airborne pollutants through implicit modules
• Experiences of applying machine learning to handle big data
• Experiences of laboratory chemical analyses using chromatography, such as GC-MS-MS, LC-MS-MS, etc
• Experiences of operating instruments measuring physical properties of aerosols
• Experiences in conducting field studies of aerosol and VOC sampling using various instruments
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc
• Proven rounded and effective team player with strong initiative and ownership of the research project

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

(JR:18151)
The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

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

• Participate in the development and testing of LC3-based concrete.
• Conduct material characterization tests and assess the bond interaction with reinforcements.
• Collaborate with team members to ensure project milestones are met.
• Document findings and prepare reports for further analysis.

Job Requirements

• Bachelor’s or Master’s degree in Material Science, Civil Engineering, Construction Management or related fields.
• Experience in concrete materials research is desirable.
• Strong analytical skills and proficiency in using laboratory equipment.
• Ability to work independently and as part of a multi-disciplinary team.