Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Evaluating the errors associated with Machine Learning (ML) predictions is an active area of research crucial for the safe and effective deployment of ML techniques. These errors have two components. The epistemic error refers to the degree of similarity between the analysed data and the ones the uses to train the machine. The uncertainty error refers to the noise in the training and test data.

The Pica Ciamarra groups is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research to develop physics-inspired model for error estimation in ML. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing, in strict collaborations of partners of the CNRS@Descartes.

The Research Fellow is expected to perform state of the art numerical simulations using computing resources from National Supercomputing Centre (NSCC) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations.

Key Responsibilities:

• Devise physics-inspired ML approaches to estimate epistemic and uncertainty errors.
• Construct synthetic dataset suitable to the designed models.
• Implement models for error estimation in classification and regression tasks.
• Interact with partners of the CNRS@Descartes project to foster the application of the developed models to use cases.
• Validate models via large scale simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• Ph.D in physics or related disciplines
• 2 years of relevant experience is preferred
• Experience in Machine Learning and modeling
• Knowledge of Python and C++
• Able to multitask and work in a multidisciplinary team, demonstrate initiative and work independently with strong interpersonal skills.
• Good publication record in international journals

The College of Science 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.

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

Responsibilities:

• Manage and execute clinical projects and administrative tasks.
• Ensure proper documentation and maintain an up-to-date database.
• Perform maintenance and calibration of equipment.
• Conduct data entry and collect clinical data.
• Plan and schedule subject visits, including recruitment activities.

Job Requirements:

• Possess at least a Diploma or Degree.
• Able to work independently and meet tight project deadlines.
• Strong team player with the ability to work independently.
• Skilled in prioritizing tasks and multi-tasking effectively.
• Excellent coordination and interpersonal skills.

To apply for this position, please email your detailed resume, including your current and expected salary, to [email protected].

We regret that only shortlisted candidates will be notified.

Investment Analyst/Associate in Capital Markets (CM) Department

Who are we: We are the world’s biggest listed EV battery components company.

General description: The candidate will be responsible for day-to-day tasks, including conducting investors research, preparing financial information and models, preparing marketing materials, and executing transactions. They will work closely with other team members in Singapore and across the globe on data and financial analyses, due diligence activities, and the creation of transaction materials. Being exposed to every aspect of a deal/transaction cycle, the candidate will be involved in the investor sourcing process, evaluation of such financing opportunities, arranging and structuring of such transactions, and see to the completion and documentation. The role needs a go-getter who wants to gain investment banking skills to eventually become a deal maker.

Detailed description:

- Assist the CM Director to source for credible strategic and sovereign wealth fund investors

- Assist the CM Director to manage investment bankers and financing proposal

- Assist the CM Director to answer questions from investors

- Assist the CM Director to prepare documents for investors Due Diligence

- Deep understanding of financial models

- Assist the CM Director in other matters like marketing, R&D joint labs, sourcing and incubation of early-stage startups, formation of incubation investment funds

- Strong in risk management, IPO regulations and review of legal documents

Requirements

- Bachelor's degree in Finance/ Investment related field or equivalent.

- Fluency in English and Chinese in speaking, writing and reading

- Relevant work experience at least 3 year

- MSc in Finance or related

- Humble, meticulous and with a good learning altitude

Investment Analyst/Associate in Capital Markets (CM) Department

Who are we: We are the world’s biggest listed EV battery components company.

General description: The candidate will be responsible for day-to-day tasks, including conducting investors research, preparing financial information and models, preparing marketing materials, and executing transactions. They will work closely with other team members in Singapore and across the globe on data and financial analyses, due diligence activities, and the creation of transaction materials. Being exposed to every aspect of a deal/transaction cycle, the candidate will be involved in the investor sourcing process, evaluation of such financing opportunities, arranging and structuring of such transactions, and see to the completion and documentation. The role needs a go-getter who wants to gain investment banking skills to eventually become a deal maker.

Detailed description:

- Assist the CM Director to source for credible strategic and sovereign wealth fund investors

- Assist the CM Director to manage investment bankers and financing proposal

- Assist the CM Director to answer questions from investors

- Assist the CM Director to prepare documents for investors Due Diligence

- Deep understanding of financial models

- Assist the CM Director in other matters like marketing, R&D joint labs, sourcing and incubation of early-stage startups, formation of incubation investment funds

- Strong in risk management, IPO regulations and review of legal documents

Requirements

- Bachelor's degree in Finance/ Investment related field or equivalent.

- Fluency in English and Chinese in speaking, writing and reading

- Relevant work experience at least 3 year

- MSc in Finance or related

- Humble, meticulous and with a good learning altitude

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Office of Education Research, Science of Learning in Education Centre.

Project Title: DRivers, Enablers and pathways of Adolescent developMent in Singapore (DREAMS): The Singapore Longitudinal Cohort Study (SG-LCS) Phase 1

Project Introduction:

This study seeks primarily to understand (a) the nature of educational pathways made by students through secondary education, (b) the drivers of the decisions made about educational pathways through secondary education (especially self-identity and agency, school and career aspirations, and social and relational contexts), (c) the stability and change patterns of educational pathways as well as factors that may be associated with change. We expect the drivers of educational pathways to be interrelated, and (d) through retrospective investigation, the factors at early childhood and primary school that contribute to educational pathways. Furthermore, this study will allow focus on educational pathways of specific subgroups to understand the differential impact of educational pathways for (e) students with special educational needs (SEN) and (f) for students from financially disadvantaged environments.

Project 4 Research Questions

1. To what extent do adolescent lifestyles and wellbeing differ across groups of students cross-sectionally,?

2. What are the contributions of individual, school, and home factors to adolescents' emotional wellbeing?

3. What is the association between adolescent relationships (with parents, teachers, peers) and wellbeing?

Project 6 Research Questions

1. What is life like for adolescents with SEN in secondary schools?

2. How do their lifestyle similar or different from that of their peers?

3. How do students with SEN in secondary schools do in terms of their wellbeing?

Requirements

• Bachelor’s degree or above, preferably in Psychology, Sociology, or a related field
• Familiar with the Singapore education system (mainstream / special education)
• Familiar with survey data collection and management
• Able to perform statistical analysis confidently (e.g., factor analysis, regression)
• Proficient in Microsoft WORD, EXCEL, and POWERPOINT, TEAMS applications
• Possess strong interpersonal communication, writing and language skills
• Possess knowledge of qualitative and quantitative statistical software programs
• Able to work independently with minimal supervision.
• Able to work cooperatively in both small (<3 pax) and large teams (>10 Pax)

Preferred

• Proficient in using at least one statistical software package (e.g., SPSS, R, Stata, Mplus)
• Experience in working with databases.
• Experience with Qualtrics
• Familiar with major theories in educational social psychology (e.g., motivation, self and identity, social and cultural capital)
• Possess relevant experience in educational or psychological research.
• Familiarity with the Special Education Sector will be beneficial for Project 6

Responsibilities

• Liaise with participating schools/parents/teachers and other researchers involved in the project
• Prepare for, and implement data collection
• Maintain records and document research progress
• Assist with data preparation, entry, and analysis
• Assist in the administration and management of project related matters
• Assist in writing of reports and papers for publication
• Conduct and summarise academic literature reviews
• Learn and perform statistical analysis independently
• Support the project in Administrative work (handling PTRAs, logistics, voucher distributions, participant engagement events, Taking meeting minutes, supporting International Advisory Panels
• Other tasks as assigned by the Principal Investigator / Co-PIs

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Please include your name in your CV file name.

Workday Job Requisition ID: R00019321

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00019321)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

The National Institute of Education (Nanyang Technological University, Singapore) invite suitable applications for the position of Research Associate on a one-year contract (with possibilities of extension) at the Office of Education Research, Science of Learning in Education Centre (SoLEC).

Project Title: Science of learning-based interventions to improve literacy, numeracy, and well-being in students: an umbrella review

Project Information: The main objective of this project is to synthesize work on interventions that have been designed to level-up students who face difficulties in literacy, numeracy, and well-being from Primary to Secondary levels, including those from disadvantaged backgrounds or with special needs. By means of a PRISMA framework, we will conduct a systematic literature search and screening to identify eligible articles for each topic. A preliminary literature search will be conducted to estimate the amount of literature on each topic. As approach to synthesize the literature, we will use an umbrella review for each topic, i.e., focusing on meta-synthesis, synthesis, and review literature. The findings will allow the identification of effective interventions for each topic in facing challenges throughout the students’ school period.

Requirements:

• Academic qualification:

Master’s degree in Education and/or Psychology or similar areas

• Work experience:Prior experience conducting systematic literature reviews
  Prior experience conducting qualitative and quantitative analysis
  Prior experience conducting meta-analysis
  Prior experience disseminating research findings targeting the general public and academic audiences
  
  
• Desirable interests, skills, and attributes:Passion for teaching and learning
  Interest in effective teaching in school settings
  Have good communication and organizational skills
  Have good interpersonal skills
  Be a good team-player, proactive, and able to work independently
  

Responsibilities:

• To conduct systematic literature reviews (summarizing, coding, and organizing relevant literature).
• To compute different statistical analyses for the findings obtained.
• To contribute to research translation and dissemination of findings targeting the general public and academic audiences.
• To perform other tasks as required by the Principal Investigators.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition ID: R00019323

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00019323)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

Desire Lines provide strategic consultancy for environmental, cultural, and social-impact organisations and initiatives. Based in Asia and well-connected with the world, we’re curious about places, people, policies and their potentials.

We are looking for a proactive and positive Editorial & Research Assistant to join our team. In this new role, you will work closely with DL colleagues, along with a dynamic group of external partners to support our projects. If you enjoy paying close attention to detail, are professional, discreet and meticulous in your work and have a flair and interest in writing, editing and research, this could be the role for you.

The Editorial & Research Assistant will provide support to the team through:

• Writing and editing texts for reports, books, articles and web
• Conducting image research and securing rights
• Conducting desktop research in support of publication development
• Proofreading documents
• Editing interview and event transcripts
• Participating in meetings with DL team / partners / clients, including note-taking
• Various administrative and logistical tasks as the need arises.

This is a 90% virtual role; the successful candidate will work independently from Singapore using their own laptop.This job description covers the main responsibilities and conveys the spirit of the sort of tasks that are anticipated proactively from the Editorial & Research Assistant. Other tasks may be assigned as necessary according to emerging organisational needs and the Assistant’s individual talents.

Required Skills and Competencies

• Minimum two years of working experience after completing a university degree in a relevant subject (e.g. Liberal Arts, English, Journalism, Media, Creative Writing). Superb knowledge of and love for the English language, with outstanding written and spoken communication skills.
• Demonstrable track record in writing, editing and proofreading in professional, academic or voluntary (e.g. an independent publication) settings.
• Proficiency in desktop and bibliographic research and fact-checking.
• Demonstration of initiative, proactiveness and planning; able to anticipate needs.
• Strong problem solving, prioritization, organizational and time management skills.
• Comfort alternating between independent work with light-touch guidance, andsprints of close team working.
• Able to maintain professionalism, composure and confidentiality under conditionsof stress (e.g. short time lines, multi-stakeholder management).
• Strong proficiency with Word/Pages/Google Docs, Google Slides, Excel required;Adobe Creative Suite a welcome bonus.
• Working knowledge and interest in creative industries, culture and sustainability isdesirable.
• Experience working with digital-first outputs (e.g. websites) is a plus.

Further Information
Working hours: Part time, 24 hours per week, for an initial six month period, with a possibleextension, starting from end February or start of March 2025.

Remuneration: SGD1,920/monthApplicants must legally reside in Singapore and be either Singaporean Citizens or Permanent Residents.

This role involves leveraging computational tools and methodologies to analyze and interpret complex biological data, particularly in the context of lymphoma studies. The incumbent will be responsible for utilizing programming languages such as Python or R, to develop and implement bioinformatics pipelines that facilitate genomic and proteomic analysis. This role requires proficiency in bioinformatics tools and software, as well as familiarity with databases and data management systems relevant to biological data.

You will apply strong statistical analysis skills and data visualization techniques to translate findings into actionable insights, thereby supporting research objectives and enhancing our understanding of lymphoma. Critical thinking and problem-solving abilities are essential for addressing research challenges, while excellent verbal and written communication skills will enable effective collaboration with multidisciplinary teams. Additionally, experience with high-throughput sequencing data analysis and interpretation is crucial for the successful execution of the role, ensuring that the organization remains at the forefront of innovative research in the field.

Requirements:

- PhD in Bioinformatics or its equivalent.

- Proficiency in programming languages such as Python or R.

- Experience with bioinformatics tools and software for genomic and proteomic analysis.

- Familiarity with databases and data management systems relevant to biological data.

- Strong statistical analysis skills and experience with data visualization techniques.

- Ability to interpret complex biological data and translate findings into actionable insights.

- Strong critical thinking and problem-solving abilities to address research challenges in lymphoma studies.

- Excellent verbal and written communication skills to collaborate with multidisciplinary teams, including healthcare professionals and local/international research collaborators.

- Experience with high-throughput sequencing data analysis and interpretation.

- Proficient in Microsoft Office applications.

- Proficient in English.

- Meticulous, fast and accurate, independent and self-motivated with good time management skills.

- Experience working in a research lab would be an advantage.

The National Institute of Education invites suitable applications for the position of Research Fellow on a 6-month contract at the Natural Sciences and Science Education Academic Group Department.

Project Title: Sn-based alloy-carbon nanoassemblies for sodium-ion batteries using plasma-based sustainable technologies (RI 7/22 RSR )

Project Introduction: Sustainability of lithium-ion batteries in long run, as major energy storage system, is not possible due to limited resource of lithium and increasing cost. Hence, focus on sodium-ion batteries (SIBs) is increasing as sodium is abundantly available at much lower cost. The biggest challenge for SIBs is to find suitable anode material with appropriate sodium voltage storage, large reversible capacity, and high structural stability. Moreover, the synthesis process of anode material needs to be cost, time and energy efficient. It is hypothesized: (i) Carbon (GraphiticCarbon/Graphene/GrapheneQuantumDots = GC/G/GQD) encapsulated nanostructured-tin (ns-Sn), i.e. GC/G/GQD@ns-Sn, as anode in SIBs will accommodate volume change, prevent formation of excessively thick SEI layer, and avoid pulverization leading to enhanced capacity, capacity retention and stability. (ii) Plasma based strategy, as against wet chemical approach, can provide sustainable environmentally friendly synthesis of GC/G/GQD@ns-Sn with better energy-, time- and cost- efficiency. Specific aims are: (i) to develop and optimize the plasma based sustainable synthesis of integrated hybrid 3D GC/G/GQD@ns-Sn anode in core-shell configuration, and (ii) to develop and test industry relevant SIB prototype using the most optimized carbon-Sn combination and bench mark its capacity, efficiency, cycling and stability. Synthesis of ns-Sn onto suitable 3D foam substrate using plasmas will be achieved first. Afterwards, GC/G/GQD will be encapsulated onto ns-Sn using plasma strategy to form GC/G/GQD@ns-Sn. Structural, compositional, morphological properties of electrode material along with their detailed electrochemical characterization and performance analysis will be conducted to achieve best battery performance.

The Research Fellow hired for this project at NIE will work on synthesis and optimization of GC/G/GQDs@ns-Sn as anode electrode material using plasma based dry process. He/she will also be responsible for the characterization (SEM, EDX, XRD, RAMAN, TEM, XPS etc) and performance evaluation (using battery tester and electrochemical workstation) of the anode electrode material.

Requirements:

Essential

• A PhD in Physics or Engineering with a strong background in low-temperature processing and synthesis of materials.
• Strong experience in development, operation and optimization of various plasma devices and associated diagnostics.
• Strong experience on energy storage materials for sodium ion batteries.
• Expert on using various material characterization facilities SEM, EDX, XRD, RAMAN, TEM, XPS etc
• Expert on using electrochemical workstation and battery tester with experience on electrochemical performance analysis of batteries.
• Good written and verbal communication skills with evidence of proven writing skills from research papers and research reports.
• At least 5-year of experience on plasma devices and material characterization tools.

Preferred

• Good knowledge of lab safety issues
• Good organizational skills
• Able to work within given deadlines with an eye for details
• Able to work independently with minimum supervision
• Able to supervise Ph.D. candidates

Responsibilities

• Operationalize and optimize low-temperature radiofrequency PECVD system for processing and synthesis of battery electrode material.
• Perform relevant plasma diagnostics such optical emission spectroscopy to estimate plasma parameters.
• Perform various material characterizations using SEM, EDX, XRD, RAMAN, TEM, XPS etc
• Perform electrochemical performance testing and analysis and battery tester with experience on electrochemical performance analysis of batteries.
• Write research reports and papers.
• Other related duties as assigned by the Principal Investigator

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Req ID: R00019322 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--Natural-Sciences-and-Science-Education-Department--NIE-_R00019322)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

• Conduct literature reviews

• Request or acquire equipment or supplies necessary for the project

• Manage and respond to project-related email

• Track research progress over time

• Prepare, maintain and update research shared drive

• Attend project meetings and other meetings as necessary to represent the project team

• Summarize project results

• Prepare progress reports

• Prepare other articles, reports and presentations

• Monitor the project budget

• Assist in preparing instruments and protocols for data collection

• Assist in recruiting subjects and liaising with both internal and external departments

• Develop or assist in the development of quantitative survey instruments and to coordinate the logistics of implementing and collating the data.

• Travel to field sites to collect and record data and/or samples as appropriate to the specific objectives of the study

• Review and clean data to ensure completeness and accuracy of information; follow up with subjects to resolve problems or clarify data collected

• Maintain accurate records of survey, safeguarding the confidentiality of subjects, as necessary

• Maintain accurate records of interviews, safeguarding the confidentiality of subjects, as necessary

• Provide ready access to all project related data for the faculty researcher and the project team

• As appropriate to the specified position, code and verify data in accordance with specified research protocol and coding procedures and enter data into a computer database and/or spreadsheet application for subsequent analysis

• May lead or guide the work of part-time employees

• Perform miscellaneous job-related duties as assigned

• Assist in preparing findings for publication

• Assist in writing and contributing to publications

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON,

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified.

Linda LIM
Registration Number: R1221302
EA Licence No: 06C2859 (MCI Career Services Pte Ltd)

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

The Research Assistant 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

Only shortlisted candidates will be notified.

Qualifications

• 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 job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Qualifications

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

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• 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

Job Description

• Industry/ Organization Type: Chemical Manufacturing
• Position Title: Research Officer (R&D)
• Working Location: Central
• Working Hours: Monday to Friday (8.45 AM – 5.30 PM)
• Salary Package: Basic Salary up to $3,800 + AWS + Bonus + Transport Allowance + Flexible Benefits
• Duration: Contract (3 years – Renewable)

Key Responsibilities

• Develop new technologies for molecular and immunological assays.
• Integrate assays into prototype medical devices.
• Handle ordering and payment using the SAP system.
• Ensure that all assays and processes meet stringent quality standards and regulatory requirements.
• Analyze experimental data to draw meaningful conclusions and make recommendations for further research.
• Work closely with cross-functional teams, including R&D, production, and quality assurance, to ensure seamless integration of new technologies.
• Adhere to all safety protocols and guidelines to maintain a safe and compliant work environment.
• Identify areas for process improvement and implement changes to enhance efficiency and effectiveness.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Bachelor’s Degree in Life Sciences, Microbiology, Molecular Biology or relevant discipline
• At least 1 year of relevant research or laboratory R&D experience
• Experience in assay development is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #68611 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

1. Responsible for performing all monitoring aspects of clinical trials and assist to set up, review and maintain project files to ensure compliance as stated in ICH E6 GCP to assure all trials are conducted in strict adherence to good clinical practices, regulatory obligations, investigator integrity and compliance with project specific requirements

2. Responsible for preparing, organizing, managing feasibility, site selection and investigator identification, initiation, monitoring and close-out visits in accordance with sponsor's and/or company's standard operating procedures (SOPs) and study requirements with the highest standards

3. Planning, develop, compile and/or review all study-related regulatory and administrative documents from investigational sites, monitoring visit reports, work progression reports and other study-required documents

4. Develop, compile and/or submit dossiers include initial/amendment/interim report/safety reporting to regulatory and/or ethics committee for review and follow up until approval, as required

5. Management in planning, coordinating, organizing and attending all study-related meetings and activities for sites as required

6. Manage/support project(s) in the capacity of lead CRA role and/or other designated project roles to undertake all or partial responsibilities and tasks as required, whenever designated by the Company

7. Support/Assist in Site and CRO audit or inspection as required

8. Support business development activities (e.g. search new project related information) as required

9. Proactively identify and facilitate resolution of complex study problems and issues.

10 Actively work towards achieving good personal relationships with the project Team members

We are looking for CRAs to work for either our Singapore or Malaysia Team.

Job Responsibilities:

• Assist in the execution phase of grant and industry projects, including monitoring project milestones, risks, costs, and schedules.
• Collaborate with various functions within the organization to resolve roadblocks and ensure the programme and projects deliver key outcomes within the allocated time and budget.
• Update and maintain the internal research project database, and external engagement tracking.
• Support the Quantum Programme Office (QPO) in managing and ensuring proper and updated records of project variations, grant proposals, publications, patents, and technology disclosures.
• Administer overseas travel arrangements, including checking travel plans, budgets, and ensuring proper documentation and approval in compliance with existing policies.
• Assist the team in organizing technology road-mapping and scientific workshops/symposiums.
• Assist the QPO team in day-to-day operations and administrative duties.

Job Requirements:

• Degree in Science, Technology, or Engineering.
• Proficiency in relevant software and tools such as MS Excel, MS Project, and PowerBI preferred.
• Strong attention to detail.
• Ability to manage multiple tasks and projects simultaneously.
• Excellent problem-solving, analytical, and systems thinking abilities.
• Resourceful and independent.
• Ability to work collaboratively with internal and external stakeholders.
• Strong written and verbal communication skills.
• Familiarity with quantum technologies and their applications is advantageous.
• Minimum of 5 years of experience working in the public R&D sector

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.

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow.

The Research Fellow will join a new research group at NTU developing miniaturized medical imaging technology.

Key Responsibilities:

• Lead the engineering of new optical technologies and approaches for translational medicine and biology
• Initiate new multidisciplinary collaborations with scientists, engineers and clinicians
• Supervise junior researchers and interns in the laboratory
• Propose new research directions and seek funding opportunities through grant proposals

Job Requirements:

• PhD in Electrical/Optical/Mechanical/Biomedical Engineering or relevant specialty
• Experience (3+ years) in optical instrumentation involving microscopy/imaging or light sources
• Strong record of first-authored research work (manuscript in review is acceptable)
• Experience with student supervision is a plus but not required

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 Fellow 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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 Fellow will be responsible for working closely with the Principal Investigator on one or more projects.

Description

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• Ph.D. in Computer Science, Cybersecurity, or a related field: A terminal degree in a relevant field is essential to demonstrate the depth of knowledge and expertise required for conducting advanced research in AI and cybersecurity.
• Research Experience in Fuzzing and AI: Proven track record of conducting research in fuzzing techniques and artificial intelligence, with a focus on deep learning, natural language processing, or reinforcement learning. Experience in applying AI methods to cybersecurity problems is highly desirable.
• Publication Record: Demonstrated ability to publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering. Strong publication record in top-tier venues indicates the ability to contribute novel insights to the field.
• Programming and Software Development Skills: Proficiency in programming languages such as Python, C/C++, or Java is necessary for developing and implementing AI algorithms and fuzzing tools. Experience with software development methodologies and version control systems is advantageous.
• Analytical and Problem-Solving Skills: Strong analytical skills and problem-solving abilities are essential for designing experiments, analyzing data, and deriving actionable insights from research findings. Experience with experimental design and statistical analysis techniques is beneficial.
• Communication and Collaboration Skills: Excellent written and verbal communication skills are required to convey complex ideas and technical concepts to both technical and non-technical audiences. Ability to collaborate effectively with interdisciplinary teams and communicate research findings clearly is crucial.
• Self-Motivation and Initiative: Demonstrated ability to work independently and take initiative in driving research projects forward. Proven track record of self-motivated learning and exploration of new methodologies and technologies in the field of AI and cybersecurity.
• Candidates who meet these qualifications and possess a strong passion for advancing the state-of-the-art in AI-aided cybersecurity, particularly in the domain of fuzzing, are encouraged to apply.

Only shortlisted candidates will be notified.

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

A Research Fellow position is currently available in the School of Physical and Mathematical Sciences (SPMS), working on topological exciton polariton experiments.

Key Responsibilities:

• Fabrication of topological exciton polariton lattices based on novel seminconductors
• Use electron beam lithographic techniques to etch novel lattice patterns
• Perform optical characterizations of structures using various optical spectroscopy
• Collaborate with theoretical researchers in the design and optimization for new fundamental effects and the creation of polaritonic topological lattices
• Perform nonlinear optical measurements, using interferometric, angle-resolved, and correlation type techniques
• Record, manage, and store collected data in line with NTUs data management policies
• Disseminate results in the form of peer-reviewed publications and presentations at international conferences

Job Requirements:

• PhD in Physics, Optics, Material sciences, Engineering from a reputable University
• Track record of peer-reviewed papers in international journals
• The ideal candidate would have experience in the heterostructure and device fabrications

The College of Science 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.

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

Responsibilities

• Prepare comprehensive reports and presentations on current and prospective investments, including valuation assessments and performance analysis.
• Oversee the preparation of Management Accounts and Financial Statements, ensuring compliance with statutory requirements both locally and globally.
• Provide support for investment activities, focusing on financial products such as public equities and real estate investments.
• Act as the main liaison with tax service providers to ensure compliance with jurisdiction-specific tax regulations, primarily in Singapore and the United States.
• Facilitate trade executions and maintain relationships with private and retail bankers for investment activities in key markets.
• Stay informed about financial markets and trends, with a strong understanding of private and public market dynamics.
• Undertake ad-hoc project management responsibilities to support the team’s operational and strategic goals.
• Collaborate with cross-functional teams to enhance analytical insights, improve reporting capabilities, and support decision-making processes.

Requirements:

• A minimum of 2 years of professional experience within the finance or investment industry, preferably in asset and wealth management.
• Hands-on experience with the U.S. stock and property markets, demonstrating strong market understanding.
• Advanced proficiency in Microsoft Office, particularly Excel and Word, for analytical and reporting purposes.
• Strong analytical acumen with excellent organizational, teamwork, and communication skills, alongside full fluency in English.

Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.

Email resume to [email protected]

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724

http://www.peopleprofilers.com
EA License Number: 02C4944
Registration Number: R1872398

Posting Personnel: Ng Jwee Ken

Ref: QWVWX9R9

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

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 Research Engineer to join our research team to work on related Soft Robotics.

Key Responsibilities:

To design, build and test whole hybrid robot systems for specific scenarios.

Qualifications

• Possess a bachelor’s degree in biomedical engineering or related field.
• Have relevant experience with hybrid robot system development and evaluation.
• Have good knowledge of soft robot actuator/sensor/integration fabrication.
• Good written and spoken communication skills and the ability to collaborate effectively in a team environment.
• 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

The National University of Singapore invites applications for Research Assistant in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointment will be made on one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Assistant will be responsible to, and work closely with, the admin managers to ensure the successful completion of projects on time. The RA’s principal role will be to work in research administration for the programme.

Main Duties and Responsibilities

Key responsibilities include:

• Provide administrative support to the research programme and research projects, such as in end-to-end management of procurement and payments.
• Maintain list of expenditures and payments of grants.
• Manage good inventories of consumables and equipment to the research programme and research projects.
• Manage onboarding and offboarding including setup of workspace and systems access.
• Manage calibration and preventive maintenance on equipment and systems.
• Support development and maintenance of SOPs, policies to enhance operations of the programme.
• Assist with other duties of similar nature that are delegated by the PI.

Qualifications

Qualifications and requirements of the role are as follows:

1. Recognised Bachelor’s degree, with at least 1 - 2 years of relevant experience in a research/academic organisation. Degree in life sciences, sports sciences, or related disciplines will be an added advantage.
2. Adaptable and able to multitask with clear flow-through.
3. Demonstrated ability to work independently as well in a team, and thrive in a fast-paced environment
4. Detail-oriented, self-driven with high degree of professional integrity and resourceful.
5. Good written and verbal communication.
6. Proficient in MS Office Application and good IT literacy.

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

Only shortlisted candidates will be notified.

Please apply online via NUS career portal and any related queries may direct to Ms H’ng at [email protected].

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 Research Engineer to join our research team to work on related Soft Robotics.

Key Responsibilities:
To design, build and test whole hybrid robot systems for specific scenarios.

Qualifications

• Possess a bachelor’s degree in biomedical engineering or related field.
• Have relevant experience with hybrid robot system development and evaluation.
• Have good knowledge of soft robot actuator/sensor/integration fabrication.
• Good written and spoken communication skills and the ability to collaborate effectively in a team environment.
• Open to fixed-term contract.

Under the Air Traffic Management Research Institute (ATMRI) (http://atmri.ntu.edu.sg/), Nanyang Technological University, you will be part of a research team to study the use of Artificial Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system, including traffic prediction, optimization, and safety enhancements.

Key Responsibilities:

• Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection.
• Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems.
• Work with real-time and historical air traffic data (e.g., ADS-B) to build predictive models for air traffic demand and capacity.
• Collaborate with a team of researchers and engineers to integrate machine learning models into ATM decision support systems.
• Analyze the performance of machine learning models and optimize their scalability for real-world airspace management applications.
• Participate in project meetings, prepare research reports, and contribute to publications in top-tier academic conferences and journals.
• Assist in the preparation of project proposals and technical documentation.

Job Requirements:

• Master's degree in Artificial Intelligence.
• Evidence of developing Machine Learning and Optimization models for ATM system.
• Strong programming skills in Python.
• Good English writing and communication skills - for research purposes
• Independent and team player.

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 a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Fellow (RF) will plan and execute research studies to better understand the impact of environmental heat stress on various populations. The successful candidate will be responsible to, and work with, the Principal Investigator (PI) to ensure the successful and timely completion of the project.

Main Duties and Responsibilities

The duties and responsibilities of the successful candidate include but are not limited to:

1. Working closely with the PI to develop new research ideas, write up and present project proposals;
2. Designing research protocols and planning data collection strategies, guided by literature reviews and best practices;
3. Leading and training teams comprising Research Assistant(s), Students etc in the conduct of laboratory- and field-based research;
4. Establishing and managing databases;
5. Rigorous data analyses and interpretation of data;
6. Generating reports and high-quality publications for presentation to stakeholders and submission to top tier journals, respectively;
7. Leading a team comprising Research Assistant(s) and Students in the conduct of laboratory- and field-based research studies;
8. Working at different study sites, depending on the needs;
9. Working beyond routine work hours due to the nature of research;
10. Maintaining the highest standard of professional conduct and record-keeping in accordance with policies and procedures;
11. Maintaining regular communication with other members of the research team; and
12. Assisting with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a Doctorate, preferably in sport science, life sciences or related disciplines;
2. Have an interest and experience leading and conducting laboratory and field research with human participants;
3. Be proficient in statistics, data analyses and data visualisation for both quantitative and qualitative data;
4. Have excellent written and verbal communication skills;
5. Be adaptable and able to multi-task well;
6. Be able to work independently and in a team;
7. Have an investigative nature and be detail-oriented;
8. Have knowledge of computer applications, e.g. SPSS, MS Office.

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

Only shortlisted candidates will be notified. Review of applications will commence from November 2024 on a rolling basis. Applications will be considered until the post is filled.