Total 180 science job vacancies in Singapore

The Nanyang Centre for Public Administration (NCPA), at the College of Humanities, Arts, and Social Sciences, Nanyang Technological University (NTU), Singapore invites applications for Research Fellow.

The main theme of fellowship is on "The New Political Economy and Public Governance in a Globalizing Asia", with a focus on China and/or Southeast Asia (Singapore in particular), including ASEAN integration in the contexts of changing geopolitics and the new international political economy, such as the RCEP.

Key Responsibilities:

• Work closely with Director (Research & Executive Education), NCPA (Professor Liu Hong), who will serve as the primary mentor, and other research staff at NCPA as well as the School of Social Sciences.
• Conduct independent research, develop research proposals, collaborate on projects, and contribute to academic publications.
• Coordinate NCPA's research activities within NTU (including the Lien Ying Chow Legacy Fellowship Programme) and with external partners.

Job Requirements

• PhD in one of the relevant fields of Asian Studies, international political economy, political science, public policy, or other fields such as sociology, ethnic studies, and global history.
• Interdisciplinary and comparative approach to Asian governance in the context of globalization and new geopolitics is particularly welcome.
• For those working on China and ASEAN context, bilingual capacities (English and Chinese or English and a Southeast Asian language) is essential to facilitate the research process.
• Demonstrated records in publication and research activities in the relevant research themes.
• Preferably with experiences in the Asian region and able to connect area studies with on-going discourses about the international political economy and public governance.

The appointment will be for a period for two years, with the possibility of renewal subject to performance review and budget availability.

Applicants must state in their applications the research area(s) they are applying for. They must demonstrate in their research plan how their expertise crosses different disciplines and relates to the research area they are applying for.

Successful applicant should ideally begin fellowship in October 2024 or soon afterward, subject to mutual agreement.

We regret to inform that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Project Officer. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced deep learning and computer vision algorithms. Candidates are expected to have a strong background in relevant areas.

Key Responsibilities:

• To independently undertake research in computer vision and machine learning.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in machine learning and computer vision.
• Publication records in machine learning or computer vision conferences/journals.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Research experience after a pre-university diploma would be desirable - related field (preferably worked in R&D sector with industrial experience in the project-related field).
• Demonstrated experience in operations planning, project management activities, resources, equipment, information and execution of projects.
• Knowledge of safety: Familiarity with safety management systems in laboratory and pilot-scale test bed is preferred.
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.
• Ability and willingness to work some flexible hours.
• Good command of English, both oral and written (as required for research work) along with the ability to communicate effectively with a wide range of individual and professional groups.

We regret that only shortlisted candidates will be notified.

We are seeking a Research Associate at College of Computing & Data Science (CCDS) to contribute to our project titled “Tamper Detection with Invisible Watermark and Anti-Tampering for Protecting Face or Body Images/Videos”. The focus is on developing and improving algorithms that enhance privacy and security in the AI models.

Key Responsibilities:

• Exploiting deep learning algorithms for improving privacy and security.
• Identify the weakness of existing deep learning algorithms for tamper detection and protection of watermarks, face, and body images/videos.
• Develop new deep learning algorithms or improve existing algorithms to address the weaknesses.
• Prepare codes and datasets for training and testing.
• Carry out experiments and analyze the results.
• Prepare reports and scientific papers for publication.

Job Requirements:

• Master's degree or above in Computer Science, Data Science, or a related field.
• Strong background in deep learning with first-author publications in ECCV, ICCV, CVPR, ICLR, NeurIPS, ACL, EMNLP, or top-ranked IEEE Transactions.
• Knowledge of multimodal fusion and computer vision is must.
• Experience in algorithm development, data processing, and coding (e.g., Python).
• Proven ability to conduct independent research and publish scientific papers and journals.
• Excellent problem-solving skills and attention to detail.
• Good teamwork skills.
• Industrial experience is a plus

We regret that only shortlisted candidates will be notified.

We are seeking a Research Fellow to join a university-level research centre in College of Computing & Data Science (CCDS) collaborating with industry. The position is for two years, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to AI-Human Collaborative Content Generation.

Key Responsibilities:

• To independently undertake research in computer vision and machine learning.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• A PhD degree in Computer Science or relevant fields such as Electrical Engineering;
• Have a solid foundation in the following areas: Computer Vision, Deep Learning;
• Strong publication records in top-tier computer vision and machine learning conferences/journals, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc.;
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.;
• Demonstrate outstanding communication skills, clear logical thinking, and willingness to learn.

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Project Officer.

Key Responsibilities:

• Undertake independent research focusing on the one or more of the the design, reuse, and deployment of machine learning models.
• Experience in both neural deep learning models and AIGC algorithms.
• Collaborate with partners to implement innovative ideas and integrate cutting-edge algorithms into real-world applications.
• Present research findings through academic papers or reports.

Job Requirements:

• Bacholar degree in Computer Science, Computer Engineering, or related fields.
• At least 2 topic-related publications in top-tier AI conferences and journals, including but not limited to ICML, NeurIPS, ICLR, CVPR, TPAMI.
• Demonstrated expertise in efficient model reuse/adaptation/generalization, and automated machine learning.
• A strong sense of responsibility, coupled with the ability to work independently with minimal supervision.
• Good presentation and communication skills.
• Proficiency in at least one deep learning framework such as Jax or PyTorch, and programming languages including Python, and/or C/C++.
• Internship experience in an AI research organization will be highly preferred.

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Project Officer.

Key Responsibilities:

• Undertake independent research focusing on the one or more of the the design, reuse, and deployment of machine learning models.
• Experience in both neural deep learning models and AIGC algorithms.
• Collaborate with partners to implement innovative ideas and integrate cutting-edge algorithms into real-world applications.
• Present research findings through academic papers or reports.

Job Requirements:

• Bacholar degree in Computer Science, Computer Engineering, or related fields.
• At least 2 topic-related publications in top-tier AI conferences and journals, including but not limited to ICML, NeurIPS, ICLR, CVPR, TPAMI.
• Demonstrated expertise in efficient model reuse/adaptation/generalization, and automated machine learning.
• A strong sense of responsibility, coupled with the ability to work independently with minimal supervision.
• Good presentation and communication skills.
• Proficiency in at least one deep learning framework such as Jax or PyTorch, and programming languages including Python, and/or C/C++.
• Internship experience in an AI research organization will be highly preferred.

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant.

Key Responsibilities:

• Undertake research in resource allocation and data management for cloud computing and data-intensive applications.
• Conduct high-quality research on theoretical problems, algorithm design and analysis, and performance evaluation.

Job Requirements:

• A Bachelor degree in Computer Science or related disciplines from a reputable university
• Good knowledge in parallel and distributed computing, algorithm design and analysis, and optimization
• Relevant research experience with proven records
• Ability to conduct research independently
• Excellent communication and writing skills in English as required for research work

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow/Research Associate.

Key Responsibilities:

• Undertake research in resource allocation and data management for cloud computing and data-intensive applications.
• Conduct high-quality research on theoretical problems, algorithm design and analysis, and performance evaluation.

Job Requirements:

• A PhD degree or Master degree in Computer Science or related disciplines from a reputable university
• Good knowledge in parallel and distributed computing, algorithm design and analysis, and optimization
• Relevant research experience with proven records
• Ability to conduct research independently
• Excellent communication and writing skills in English as required for research work

We regret that only shortlisted candidates will be notified.

Nanyang Technological University (NTU) Singapore seeks to appoint an Associate Professor in Environmental Data Science to be held jointly in both the Asian School of the Environment (ASE) and the newly established College of Computing and Data Science (CCDS). We encourage applications from researchers who leverage innovative data science methodologies to address pressing environmental challenges and advance our understanding of natural systems. We are particularly keen to recruit applicants whose research includes quantitative analysis of geoscience, climatologically or environmentally relevant observational data. Examples of areas of interest include but are not limited to environmental geochemistry; geophysics: natural hazards; atmosphere, oceans and climate science: remote sensing; ecological modelling; environmental sustainability; and geospatial analysis. The successful candidate will be expected to build and contribute to interdisciplinary research, teaching and leadership within our institution's Environmental Earth System Science and AI programmes.

The candidate is expected to lead and conduct high-impact research at the intersection of environmental and Earth system science and data science. We seek candidates who can develop and implement novel data science methodologies, which might include AI and machine learning, deep learning, and data analytics, to analyse environmental and/or Earth observational datasets, model complex environmental systems, and extract actionable insights.

The faculty member will be expected to teach undergraduate and graduate courses in environment and/or Earth system science, data science and related disciplines, incorporating innovative teaching methods and real-world applications of data science in environmental contexts and supervise graduate students and postdoctoral researchers, providing mentorship and guidance in research design, interpretation, and professional development.

Applicants must have a Ph.D. or equivalent degree in Earth system science, Environmental science, Computer science, Mathematics, Theoretical Physics or a related field and demonstrated expertise in areas such as artificial intelligence, machine learning, and data science, with a strong track record of research publications and external funding. Experience in applying data sciences techniques to address environmental and/or Earth science challenges, such as remote sensing data analysis, climate modeling, or environmental monitoring would be anticipated.

Both ASE and CCDS are diverse, interdisciplinary units that integrates geoscience, environment, ecology, and computational sciences in order to examine environmental challenges in Asia and globally. Researchers can access national computing facilities such as the National Supercomputing Centre (NSCC) Singapore and potentially align with AI Singapore (https://aisingapore.org/).

Both ASE and CCDS seek a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Emoluments and General Terms & Conditions of Service

The commencing salary will depend on the candidate's qualifications, experience and the level of appointment offered.

Application Procedure

Candidates are invited to submit their application packages (cover letter, full CV, research and teaching statements, names and contact details of three referees) through the NTU Career Portal: https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Associate-Professor--Tenure-Track--Tenured--in-Environmental-Data-Science_R00018441 or by clicking the 'APPLY' button. Applications will be reviewed and shortlisted on an ongoing basis until the position is filled. Only shortlisted candidates will be notified.

All applications and materials submitted will be held in strict confidence.

For further enquiries, please contact the Search Committee Chair, Prof. Adam Switzer ([email protected]).

Overview

The Natural Sciences and Science Education Academic Group (NSSE AG) at the National Institute of Education in Singapore is committed to discovery and innovation in sciences and science education. Comprising faculty from both science content and pedagogical disciplines, we adopt an inter-disciplinary approach to teaching and research. Our science education researchers focus mainly on maximizing the potential of every child through research on students' learning approaches and problem-solving skills, and work with teachers to develop models of creative teaching and new approaches to learning. Faculty members receive research support through internal and external grants, as well as access to world-class research facilities.

The NSSE AG invites applications for Tenure-track Assistant/Associate Professor position in Primary and Early Years Science Education.

Requirements

Successful candidates must have:

• A basic degree in Sciences and a PhD in education (specializing in science education)
• Published papers in top-tier, peer-reviewed international education journals, and be able to teach in English
• Teaching qualifications, and it is desirable to have taught at secondary or primary level for at least 5 years and have leadership experience in school
• Post-doctoral research experience, prior experience in conducting professional development courses for teachers, and conducting research in multilingual and multicultural environments are desirable.

Responsibilities

Successful candidates will be expected to:

• Conceptualize, teach and grade pre-service and in-service courses in Curriculum Studies (e.g., pedagogy/methods, assessment, curriculum) in Primary, and graduate level courses in Science Education
• Supervise student teachers in practicum attachments and course assignments, and supervise MEd/PhD students. Involvement in course coordination will be required. Additionally, academic staff members serve on committees in the academic 01group/NIE/NTU and offer consultancy and professional services to schools, the Ministry of Education and other public education-related organizations on a request basis
• Develop research programmes in areas of their interest and to publish in top-tier, peer-reviewed international education journals
• Compete for grants to support their research work.

Application

Please submit your detailed curriculum vitae, which should include areas of research interest, expertise in science education and more specifically in primary and early years science education, list of publications, teaching/supervision experience, research grant writing/winning experience, and names and addresses, email addresses or fax numbers of at least three referees to us.

Closing Date

All applications will remain open until the positions are filled.

Note to applicants

We regret that only successful candidates will be notified (via email).

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

WKWSCI is seeking a Project Officer to manage office administration, scheduling, meetings and events. This Project Officer will additionally play a role in supporting academic research. This includes conducting literature reviews, co-writing academic papers, analysing data, and participating in research teams to advance research objectives. The ideal candidate will be meticulous, conscientious and demonstrate a high degree of professionalism.

Key Responsibilities:

• Coordinate executive schedules, appointments and events
• Organise and document minutes of meetings, meeting materials and follow-up on action plans
• Manage office operations, budget and expenses
• Oversee travel arrangements, itineraries and claims
• Prepare, edit and file communication materials, including presentations, emails and documents
• Maintain physical and digital files with care for data security and confidentiality
• Support academic research, including literature review, data collection, data analyses, and the authoring of research papers

Job Requirements:

• Bachelor’s degree in business, communication studies or social science fields
• Strong organisational skills, with exceptional attention to detail
• Excellent verbal and written communication skills
• Proficiency with office and project management software
• Ability to multitask and problem-solve efficiently
• Skilled in social science research
• Knowledge of advanced statistical tests (e.g. moderation/mediation, hierarchical regression etc.) will be advantageous
• Team player with effective stakeholder management and time management skills
• Past experience in a project officer or research assistant role preferred

We regret to inform that only shortlisted candidates will be notified.

We are looking to appoint a full-time Project Officer at the School of Humanities in Nanyang Technological University (NTU).

The incumbent will join the Linguistics and Multilingual Studies (LMS) Department working on a project titled ‘Performance-interpretability Tradeoff in Discourse Research’ led by Professor Dennis Tay. The position is a fixed term post for 17 months.

About the Project

The performance-interpretability tradeoff (PIT) in data science and AI refers to the balance between how well a statistical/machine learning model performs, and how readily humans can comprehend it. This project investigates the nature and characteristics of PIT in discourse research, focusing on the following:

i) the (strategically) indeterminate nature of PIT

ii) PIT in time-based algorithms and discourses

iii) conceptual relationship(s) between PIT and ‘mixed-methods’ discourse research, with subsequent developments based on emergent findings.

Discourse datasets to be investigated include psychological counseling, social media, academic lectures, and other relevant time-based contexts, while time-based algorithms include LSTM, ARIMA time series, and survival regression models. The project also aims to design and develop relevant pedagogical resources aimed at students and the general public.

Key Responsibilities:

• Assist in sourcing and collecting language and discourse datasets across different domains
• Assist in pre-processing discourse data for analysis
• Assist in preparation of research output, pedagogical resources, and/or other project-related deliverables

Job Requirements:

• Good Bachelor’s degree in linguistics, language studies, data science, or related fields
• Strong verbal and written communication skills
• Working knowledge of Natural Language Processing and Python / R is an advantage

Interested applicants may apply with submission of the Curriculum Vitae.

We regret to inform that only shortlisted candidates will be notified.

Nanyang Technological University, Singapore

https://www.ntu.edu.sg/index

A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London.

NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N).

Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.

Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

School of Biological Sciences

Nanyang Technological University, Singapore

Tenure Track Assistant Professor in Biological Science

(Specialized in Molecular and Cell Biology of Disease)

The School of Biological Sciences (SBS), College of Science (CoS) at the Nanyang Technological University (NTU) in Singapore seeks outstanding candidates to apply for a tenure track position at the level of Assistant Professor with a research focus in the molecular or cell biology of disease. We encourage applications of candidates that have worked on genes, proteins and metabolites involved in disease, regardless of whether their research has been conducted in humans, animals, bacteria, plants, fungi, or other organisms.

SBS is searching for individuals with a well-defined research vision and an outstanding track record of publications in top journals. The successful candidate will establish and maintain an independent extramurally funded research program. The successful candidate is expected to show a strong commitment to departmental undergraduate and graduate mentoring and teaching.

SBS covers several areas of research encompassing genetic, structural, biochemical, and cellular investigator-led projects offering many opportunities for interdisciplinary collaborations not only within the school but also with other departments in the university. SBS/NTU offers cutting-edge infrastructures, such as state-of-the-art structural biology and biophysical facilities (Titan Krios Cryo-EM, Rigaku FRX X-ray generator, BLI, ITC), confocal microscopy, a complete set of proteomics facilities and a modern computer cluster. The successful candidate will have ample opportunities to access other state-of-the-art facilities on campus and to establish fruitful collaborations with other Schools and Research Institutes on campus.

SBS and CoS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Requirements:

We are seeking a highly motivated individual ready to lead a dynamic research team and address fundamental biological problems. The successful candidate is expected to establish his/her research group at SBS/NTU, focusing on topics that may include but are not limited to, molecular biology of pathogenicity, bacterial and viral diseases, pathogen genomics, epigenetics, transcriptomics, proteomics (and other omics), emerging diseases, host-pathogen interaction, pathogen drug resistance, and drug-pathogen interactions. We also welcome researchers working on cancers and metabolic diseases studied in any model system. We are particularly interested in exceptional candidates who adopt an integrated, cross-disciplinary approach and are enthusiastic about capitalizing on the diverse and complementary expertise available within our faculty.

Competitive applicants for the Assistant Professor position should have a strong record of research productivity and a well-developed research plan.In addition to developing internationally recognized research, teaching excellence is also expected of the successful candidate. The candidate is expected to teach both general and advanced undergraduate courses, as well as graduate courses in biology.

Qualifications:

The candidate should have a relevant Ph.D., preferably in Biology, with postdoctoral or other professional experiences in related research fields.

Emoluments

The candidate will be offered an attractive compensation package and will be supported by a generous start-up funds and laboratory space.

Application Procedure

Interested applicants are invited to submit through the NTU career portal a completed application package which include:

1. A cover letter, detailing the applicant's interest in the position and their qualifications.

2. A curriculum vitae, encompassing the full spectrum of the applicant's academic and professional experiences.

3. A list of publications, highlighting the applicant's scholarly contributions to their field.

4. An executive summary outlining the applicant's prospective research objectives, teaching philosophy, and envisioned contributions to service commitments.

5. Contact information (names and email addresses) for three referees prepared to endorse the applicant's capabilities and professional demeanor through letters of reference.

The post applied for should be clearly stated in your application.

If there are any enquiries, you seek more information from Search Chair at [email protected]

A Corp Lab in NTU is seeking to hire a Research Engineer who will contribute to the design and execution of robust research initiatives aimed at cultivating green premium strategies and green recommendation systems, fostering environmental benefits. Additionally, the role encompasses the development and refinement of large language models (LLMs) tailored to effectively influence consumer preferences towards environmentally sustainable products, thereby driving positive environmental impact through persuasive communication strategies.

Key Responsibilities:

• Designing and conducting comprehensive research focused on developing green premium strategies and green recommendation systems to enhance environmental benefits.
• Proposing recommendation methodologies that guide users towards more sustainable lifestyle choices by leveraging data analytics and user behavior insights.
• Developing or fine-tuning large language models (LLMs) that are optimized to influence and persuade consumers to prefer environmentally sustainable products.

Job Requirements:

• Masters’s degree in Computer Science or a related discipline.
• Bachelor’s degree holders with strong relevant experience will be considered.
• Possess a strong knowledge of deep learning techniques and recommendation system architectures aimed at enhancing the precision of guiding consumers towards sustainability. Demonstrated research experience or a proven track record in these areas is advantageous.
• Proficient in data analysis and data mining, with the ability to extract and interpret complex data sets to improve recommendation algorithms and strategies.
• Capable of collaborating effectively within interdisciplinary teams.
• Excellent communication and written skills in English as required for research work.

We regret that only shortlisted candidates will be notified.

S-Lab for Advanced Intelligence is seeking project officers to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• To independently undertake research in computer vision and machine learning.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Bachelor’s Degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in machine learning and computer vision.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field).
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.
• Ability and willingness to work some flexible hours.
• Good command of English, both oral and written along with the ability to communicate effectively with a wide range of individual and professional groups.

We regret that only shortlisted candidates will be notified.

S Lab is seeking a research associate to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced deep learning algorithms for multi-modality learning and 3D vision. Candidates are expected to have a strong background in relevant areas.

Key Responsibilities:

• To independently undertake research in machine learning and computer systems.
• To produce research papers and reports as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Master’s degree or Bachelor’s degree of at least 2 years working experience in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in deep learning and distributed systems. Prior experience in computer system and resource management, container techniques and deep learning environment development is preferable.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Kubernetes, etc.
• Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field).
• Strong publication records in top-tier artificial intelligence or computer systems conferences/journals, such as NeurIPS, ICML, ICDCS, SoCC, OSDI, IPDPS and SOSP, would be preferable.
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.
• Ability and willingness to work some flexible hours.
• Good command of English, both oral and written along with the ability to communicate effectively with a wide range of individual and professional groups.

We regret that only shortlisted candidates will be notified.

The Asian Communication Research Centre (ACRC) in the Wee Kim Wee School of Communication and Information (WKWSCI) is looking for a candidate to join them as a Research Assistant, who is interested to investigate cultural perceptions of skin tones and aesthetic preferences in the Philippines and Indonesia, which can be used to improve AI camera optimization for smartphones to achieve higher degrees of digital inclusiveness.

The candidate will support the planning and execution of various research grants, and will work closely with the Lead Investigator on quantitative and qualitative research related to AL camera optimization.

Key Responsibilities:

• Assist in coordinating and running research projects
• Work closely with collaborators and third-party service providers in conducting the projects
• Handle daily operational, administrative, and logistics duties related to the research projects
• Conduct and organise project meetings
• Conduct and interpret qualitative and quantitative data analyses for projects and journal publications
• Actively contribute to the preparation of manuscript drafts for peer-reviewed journals
• Undertake any additional project duties as required by the supervisor

Job Requirements:

• Bachelor’s degree in communications, psychology, business administration, public health, or any related social science disciplines
• Experience in scientific writing through publications in public health or social sciences literature. Final year dissertations/theses will also be accepted as writing samples.
• Proficiency with Microsoft Office
• Experience in qualitative and quantitative data analysis using relevant analysis software (e.g., NVIVO, SPSS, AMOS) will be preferred
• Strong verbal and written communication skills especially in English Language and Bahasa Indonesia or Tagalog are essential for conducting research and data analysis
• Highly motivated and willing to work independently in a multidisciplinary setting
• Interest in developing a research career

We regret to inform that only shortlisted candidates will be notified.

Research Associates/Research Assistants are required for concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao.

This project led by the Lee Kong Chian School of Medicine (LKCMed), Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore, Singapore General Hospital, Tan Tock Seng Hospital and the National Centre for Infectious Diseases. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful applicant(s) will work as part of a growing and energetic team investigating health at the interface of clinical epidemiology and infectious diseases in local and international contexts. The successful candidates will work together with the PI to develop models to understand the risk factors of healthcare associated infections, potential intervention strategies and the cost effectiveness of these interventions.

This position is based in Clinical Sciences Building, Nanyang Technological University.

Key Responsibilities:

Our lab seeks to hire motivated researchers to provide insights into the transmission of infectious diseases using novel computational methods. The successful candidate will work with the PI and the team to transform our understanding of infectious disease transmission dynamics.

• Develop models to understand the transmissibility of infectious diseases
• Develop models to understand the medium to long-term burden of infectious diseases across different spatial scales
• Undertaking literature reviews
• Leading on analysing data using statistical and data science techniques
• Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal
• Generating research questions
• Collaborating with researchers in other national and international institutions

Competencies and Qualification Requirements:

• Masters (Research Associate), Bachelors (Research Assistant), or equivalent in a related discipline. i.e statistics/epidemiology/data science. Post-graduate qualifications in other quantitative disciplines are welcome to apply.
• Background and research experience in epidemiology
• A strong interest in infectious diseases, spatial statistics and health data science
• Ability to communicate findings effectively
• Ability to work in a diverse and large team of researchers
• Well-organized and has an eye for detail
• Possess good written and verbal communication skills
• Possess the ability to work effectively in teams
• Have good proficiency in Statistical software (R)

It would be desirable for the candidate to:

• Have good proficiency in other programming languages, for example Python/C/C++
• Have a strong interest in learning quantitative skills

Research Associates/Research Assistants are required for concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao.

This project led by the Lee Kong Chian School of Medicine (LKCMed), Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore, Singapore General Hospital, Tan Tock Seng Hospital and the National Centre for Infectious Diseases. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful applicant(s) will work as part of a growing and energetic team investigating health at the interface of clinical epidemiology and infectious diseases in local and international contexts. The successful candidates will work together with the PI to develop models to understand the risk factors of healthcare associated infections, potential intervention strategies and the cost effectiveness of these interventions.

This position is based in Clinical Sciences Building, Nanyang Technological University.

Key Responsibilities:

Our lab seeks to hire motivated researchers to provide insights into the transmission of infectious diseases using novel computational methods. The successful candidate will work with the PI and the team to transform our understanding of infectious disease transmission dynamics.

• Develop models to understand the transmissibility of infectious diseases
• Develop models to understand the medium to long-term burden of infectious diseases across different spatial scales
• Undertaking literature reviews
• Leading on analysing data using statistical and data science techniques
• Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal
• Generating research questions
• Collaborating with researchers in other national and international institutions

Competencies and Qualification Requirements:

• Masters (Research Associate), Bachelors (Research Assistant), or equivalent in a related discipline. i.e statistics/epidemiology/data science. Post-graduate qualifications in other quantitative disciplines are welcome to apply.
• Background and research experience in epidemiology
• A strong interest in infectious diseases, spatial statistics and health data science
• Ability to communicate findings effectively
• Ability to work in a diverse and large team of researchers
• Well-organized and has an eye for detail
• Possess good written and verbal communication skills
• Possess the ability to work effectively in teams
• Have good proficiency in Statistical software (R)

It would be desirable for the candidate to:

• Have good proficiency in other programming languages, for example Python/C/C++
• Have a strong interest in learning quantitative skills

The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant. The successful applicant will be responsible for the development of algorithms for building systems for data management.

Key Responsibilities:

• Designing and developing scalable algorithms for processing data of large scale.
• Writing research papers of high quality based on research results
• Building deployable systems based on the research results.

Job Requirements:

• Bachelor’s degree in Computer Science/Engineering or related disciplines.
• Proficient in Python and C/C++ programming.
• Experience in machine learning and deep learning method.
• Excellent background in algorithms and database systems
• Excellent background and research experience in data mining algorithms, data management, machine learning, and probabilistic models.
• Experience in machine learning and deep learning method.
• Excellent verbal and written communication and interpersonal skills.
• Strong sense of responsibility and work with minimal supervision.
• Ability to be flexible and adapt to new situations in a rapidly changing research environment.

We regret that only shortlisted candidates will be notified.

Research Associates/Research Assistants are required for concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao.

This project, led by the Lee Kong Chian School of Medicine (LKCMed), Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore, the Environmental Health Institute, National Environment Agency, Singapore and the French National Centre for Scientific Research. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful applicant(s) will work as part of a growing and energetic team investigating health at the interface of environment, climate change and infectious diseases in local and international contexts. The successful candidates will work together with the PI to develop models to understand the risk factors leading to increased burden of environmental infectious diseases across large spatial scales.

This position is based in Clinical Sciences Building, Nanyang Technological University.

Key Responsibilities:

• Develop models to understand the transmissibility of infectious diseases
• Develop models to understand the medium to long-term burden of infectious diseases across different spatial scales
• Undertaking literature reviews
• Leading on analysing data using statistical and data science techniques
• Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal
• Generating research questions
• Collaborating with researchers in other national and international institution

Competencies and Qualification Requirements:

• Masters (Research Associate), Bachelors (Research Assistant), or equivalent in a related discipline. i.e statistics/epidemiology/data science. Post-graduate qualifications in other quantitative disciplines are welcome to apply.
• Background and research experience in epidemiology
• A strong interest in infectious diseases, spatial statistics and health data science
• Ability to communicate findings effectively
• Ability to work in a diverse and large team of researchers
• Well-organized and has an eye for detail
• Possess good written and verbal communication skills
• Possess the ability to work effectively in teams
• Have good proficiency in Statistical software (R)

It would be desirable for the candidate to:

• Have good proficiency in other programming languages, for example Python/C/C++
• Have a strong interest in learning quantitative skills

The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.

Key Responsibilities:

• Employing automated methods for gathering and pre-processing data on malware.
• Designing and developing new model that enhance automation for the extraction of more representative features.
• Building deployable systems based on the research results.
• Writing research papers of high quality based on research results.

Job Requirements:

• Master’s degree in Computer Science Or Software Engineering or other related areas.
• Experience on data analysis, design and implementation of neural models (e.g., LSTM, CNN, RNN).
• Research experience on deep learning-based applications.
• Proficient in programming for crawler and data processing tasks.
• Good communication and writing skills.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a Research Scientist to support research work under the project “Urban Sustainability” which aims to develop a suite of techniques for efficiently and effectively building new digital infrastructure of city scenes, managing all city data in a high definition and 3D/4D referencing system, and performing simulation, interaction, and analysis on the digital twin city model. The Research Scientist will work on the simulation aspect of the project, focusing on i) data-driven model creation and auto-calibration of agent-based simulations; ii) dynamic creation of simulation instances for providing modelling and simulation as service on the Cloud; and iii) speeding-up and scaling-up agent-based simulations.

Key Responsibilities:

• To support research work under the project “Urban Sustainability” which aims to develop a suite of techniques for efficiently and effectively building new digital infrastructure of city scenes, managing all city data in a high definition and 3D/4D referencing system, and performing simulation, interaction, and analysis on the digital twin city model.
• Work on the simulation aspect of the project, focusing on i) data-driven model creation and auto-calibration of agent-based simulations; ii) dynamic creation of simulation instances for providing modelling and simulation as service on the Cloud; and iii) speeding-up and scaling-up agent-based simulations.
• To conduct high-quality research on algorithm design, analysis, and performance evaluation and publish research outcomes in top tier conferences and journals.

Job Requirements:

• PhD degree in computer science or related field
• Strong scientific publication record
• Experience in discrete-event modelling and simulation and data-driven applications
• Excellent programming skills and experience in large system development
• Ability to work independently and with a large team
• Excellent analytical, technical, and problem solving skills
• Strong verbal and written English communication skills

We regret that only shortlisted candidates will be notified.

The Nanyang Centre for Public Administration (NCPA) at the College of Humanities, Arts, and Social Sciences, Nanyang Technological University (NTU), Singapore invites applications for Research Associate.

Key Responsibilities:

• Work closely with Director of NCPA (Prof Liu Hong) and other research staff at NCPA, as well as the School of Social Sciences
• Coordinate NCPA's research activities within NTU (including the Lien Ying Chow Legacy Fellowship Programme) and with external partners

Job Requirements:

• Master's degree in one of the relevant fields of public administration, public policy, Asian Studies, political science, and international political economy from a reputed university
• At least three years of relevant experience
• Ability to work collaboratively with team members is particularly welcome
• Strong background and demonstrated experience in research, field work, data collection and analysis, and publication
• Demonstrated experience using both quantitative and qualitative research methodologies would be preferred

Applicants must state their work plan and demonstrate how their expertise relates to the research programmes and provide cover letter, CV and one writing sample.

We regret to inform that only shortlisted candidates will be notified.

In the School of Chemical and Biomedical Engineering at Nanyang Technological University, we have an opening for a Research Fellow (Postdoctoral Researcher) in the field of process systems engineering, including but not limited to state estimation, advanced process control, remaining useful life prediction, fault detection and diagnosis, and optimization solutions for industrial manufacturing processes by leveraging control theory, data analytics, machine learning, optimization, graph theory, information theory, etc. There will be extensive opportunities for successful candidates collaborate with reputable researchers in the field worldwide on theoretical research, and with practitioners from multinational industrial companies to deliver solutions to real-world industrial problems.

Key Responsibilities:

• Conduct high-quality studies on data-based/model-based process monitoring and process control for complex chemical and biomolecular systems.
• Apply theoretical findings through computer simulations and experiments.
• Publish results in leading journals and conferences in related fields.
• Assist the PI in supervising PhD students.
• Attend international conferences to present the results.

Job Requirements:

• Obtained a PhD degree (or will be awarded PhD degree shortly) in Process Control, Control Science And Engineering, Applied Mathematics, Machine Learning or related fields.
• An excellent track record of research in the corresponding fields.
• Extensive experience and advanced math skills in control engineering, statistics, optimization, and/or machine learning.
• Excellent programming skills in, for example, Python, Matlab, Julia.
• Good written and communication skills.
• Expertise in state estimation, hybrid system control, network-based control, fault diagnosis, and/or model predictive control, and experience in applying machine learning in control systems are viewed as assets.

The position is available immediately. Interested applicants are invited to send a single .pdf file containing a cover letter, a most recent Curriculum Vitae, and a research plan (if available).

We regret that only shortlisted candidates will be notified.