Total 309 Junior Executive level Science / R&D / Research job vacancies

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for research assistants to conduct research in the areas of safety-critical control theory and machine learning. The role will focus on combining new theory or method in nonlinear system control and state-of-the-art machine learning systems, with applications to various robotic systems.

Key Responsibilities:

• Conduct research in the area of control theory and machine learning

• Conduct experiments on different robotic platforms

• International collaborations in the above areas

• Publish papers in related top journals and conferences

Job Requirements:

• Bachelor’s degree in control theory, machine learning, robotics, or related field

• Familiarity with nonlinear systems and control theory/state-of-the-art machine learning systems (diffusion, transformers, etc.)/robotics.

• Good written and oral communication skills

• Proficiency in programing (e.g., Python) and machine learning tools (e.g., PyTorch)

• Entry level candidates are welcome to apply

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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 16-month contract at the Physical Education and Sport Science department.

Project Introduction: Problem gambling rates in Singapore has remained stable amidst a rise in online betting, highlighting the need for more effective public health messaging. One prevalent form of betting in Singapore is that of sport betting, which has been shown to be linked to more addiction related tendencies as compared to other forms of the activity. The aim of this research proposal is to investigate differential effectiveness of marketing messages on the public.

Requirements:

Essential

• Bachelor's Degree in Psychology, Sport Science/Management, Marketing/Consumer Behaviour, or a related social science discipline. Candidates with a Master's Degree may be considered for a Research Associate position.

• Experience in quantitative research methods, specifically in setting up and administering multi-factor, between-subjects experimental designs and surveys.

• Proficiency in statistical analysis software (such as SPSS, R, or equivalent) to analyse experimental and survey data.

• Strong literature review and academic writing skills, with the ability to contribute to systematic review papers and research reports.

• Excellent written and oral communication skills to coordinate with local participants and international institutional collaborators.

• Ability to work independently and manage data collection milestones efficiently within the designated timelines.

Preferred

• Experience with eye-tracking technology, including calibrating eye-trackers and processing physiological visual/gaze data.
  

Responsibilities:

• Conduct comprehensive literature reviews and actively assist in the preparation and submission of a systematic review paper.

• Coordinate and execute laboratory data collection, involving the usage of an eye tracking device.

• Manage and maintain ethical safeguarding protocols, ensuring proper informed consent, participant risk screening, and thorough post-task debriefings.

• Perform statistical analysis of results of existing datasets

• Contribute to writing up findings, academic research reports, and preparing materials for potential research publications or conferences.

• Handle administrative duties related to the daily operations of projects under the supervision of the Principal Investigator
  

Note: This is a primarily in-person role based on-site at the National Institute of Education (NIE) campus in Singapore to facilitate laboratory-based experiments and day to day operations.

Application

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

Workday Job Requisition ID: R00024860

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Physical-Education-and-Sport-Science---NIE-_R00024860)

Closing Date

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

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Urban-Intelligence-&-Policy-Analyst%29/33289-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Cities is a university-wide, interdisciplinary entity hosted within the College of Design and Engineering, serving as an open and inclusive collaborative platform spanning Education, Research, and Advisory Services.

This role focuses primarily on the urban planning, qualitative research, and policy translation components of NUS Cities' ongoing projects, helping ensure that research outputs are grounded in real-world planning contexts and communicated effectively to planning practitioners and policymakers. The Research Analyst will also contribute to academic publications, helping advance and disseminate knowledge to the broader research community.

Key Responsibilities

• Support the integration of technical outputs with urban planning and policy context, ensuring insights align with real-world governance needs and planning workflows.
• Support the policy translation process — helping operationalise research outputs into formats suitable for decision-makers (e.g., slides, briefs, memos, workshop materials, and presentation narratives).
• Contribute to documentation, visualisations, and the writing of reports and publications, with a strong focus on clarity, structure, and readability for both policymakers and academic audiences.
• Support other NUS Cities research and analysis activities, including contributing to engagements, knowledge products, and deliverables that connect research insights with practitioner and policy audiences.
• Support qualitative research activities, such as synthesising practitioner needs, summarising stakeholder feedback, drafting case studies, and translating technical outputs into clear planning narratives.
• Assist in designing and validating use cases for the technical framework (e.g., built environment and residents' well-being analysis; estate management and operational efficiency), with emphasis on framing, interpretation, and real-world relevance.

Qualifications

• Bachelor's or Master's degree in Urban Planning, Public Policy, Social Sciences, Geography, Urban Studies, or a closely related field.
• Strong organisation and project coordination skills, with the ability to manage multiple workstreams, timelines, and stakeholder touchpoints.
• Excellent writing and presentation skills, including the ability to produce clear, well-structured slides, briefs, summaries, and stakeholder-facing materials.
• Resourceful and analytical, with good communication skills; able to work independently while collaborating effectively with interdisciplinary teams of planners, social scientists, and technical researchers.
• Keen interest in working with AI tools and prompt engineering to support research, synthesis, and knowledge production workflows.

Preferred
• Familiarity with Singapore's urban governance landscape (e.g., URA, HDB, BCA, LTA, MND) is a strong advantage.
• Demonstrated experience in qualitative research and synthesis (e.g., interviews, thematic analysis, sensemaking, narrative development, stakeholder needs analysis).
• Familiarity with geospatial tools (e.g., QGIS/ArcGIS/GeoPandas) and/or data analysis in Python.

Application Procedure

Interested applicants should submit a dossier consisting of the following to the NUS career portal:

• A cover letter (maximum 3 pages)
• Up-to-date CV
• A statement describing their research trajectory, interests and career ambitions
• Contact details for three referees. Only short-listed applicants will be invited to submit reference letters.

We will begin evaluating candidates immediately, but the position will remain open until a suitable candidate is found. Further enquiries should be sent to mzyeric@nus.edu.sg (please indicate “Research Assistant (Urban Intelligence & Policy Analyst) Application” as the subject heading).

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Multifunctional-Metamaterials%29/33292-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Sustainable and Multifunctional Metamaterials for Industrial Technologies (SUMMIT) Research Group (led by Dr. James Utama Surjadi) is seeking a highly motivated Research Assistant to assist projects in the development of next-generation mechanical metamaterials. Our group sits at the intersection of mechanics, materials science, and advanced manufacturing. We aim to create multifunctional systems that maintain high performance under extreme conditions, utilizing an innovation pipeline that spans AI-driven design to multiscale characterization.

Key Responsibilities:

• Research Execution: Assist research in one or more of our core areas: multifunctional metamaterials, adaptive/tough metamaterials, sustainable nanomanufacturing, or AI-driven materials optimization.
• Computational Modeling: Utilize Finite Element Modeling (FEM), molecular dynamics, density functional theory, and AI/Machine Learning frameworks to predict and optimize the behavior of complex metamaterial architectures.
• Fabrication & Characterization: Fabricate samples and perform multiscale mechanical testing under coupled thermal and electrical environments.
• Dissemination: Prepare high-impact manuscripts for peer-reviewed journals, patents, and present research at international conferences.

Qualifications

• Bachelors or Masters in Mechanical Engineering, Materials Science, Robotics, Electrical and Electronic Engineering, Chemistry, Applied Physics, or related fields

• Interest or experience in mechanical metamaterials, multiscale and multiphysics simulation, mechanics of materials, additive manufacturing, micro/nanofabrication, finite element modeling, AI-driven design, material synthesis, nanomechanics, or experimental characterization

• Highly motivated, collaborative, and able to work in an interdisciplinary research environment

• Good communication skills in English (spoken and written) – for the purpose of presenting research findings in meetings and preparing research progress reports.

The School of Art, Design and Media (ADM) at NTU invites applications for a Part-Time Research Assistant to support the CoHASS Research Support Grant project AI and Quantum Visualization: Artistic Dissemination for Public Engagement. Led by A/P Ina Conradi Chavez, the project disseminates interdisciplinary art–science research through international exhibitions, digital platforms, and publications. Works have been presented at Ars Electronica, MEET Milan, and Quantum Perspective at The Arts House, Singapore. This is a hands-on creative dissemination role for a self-driven Visual Communication professional passionate about art–science communication and digital storytelling.

Key Responsibilities:

• Create and manage social media content including reels, graphics, and short-form video across Instagram, LinkedIn, and related platforms

• Develop and maintain the project's visual identity and branding across digital and print touchpoints

• Design exhibition collaterals: posters, brochures, postcards, and catalogue layouts

• Support exhibition curation, installation flow, and event coordination for local and international venues

• Document research outputs and compile archival materials for publication and grant reporting

• Assist with grant workflow administration and preparation of dissemination materials

Job Requirements:

• Bachelor’s in Visual Communication, Graphic Design, Interactive Media, or related field

• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign) or equivalent design tools

• Demonstrated experience in social media content creation and short-form video/reels editing

• Strong visual design sense across digital and print media

• Interest in media art, art–science, or research communication

• Portfolio of design and/or social media work required

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

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-AssistantAssociate-%28QC-Analytical-Chemist%29/28267-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant/ Research Associate (QC Analytical Chemist) in the Department of Clinical Imaging Research Centre (CIRC) Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension.

Purpose of the post

The QC Analytical Chemist will be responsible to, and work closely with Head of QC, to ensure the successful and safe release of radiopharmaceuticals manufactured at CIRC. The QC Analytical Chemist’s principal role will be to perform all quality control tests required by pharmacopeia. Alongside with maintaining the inventory of raw materials, maintenance of equipment and all the necessary documentation required for the QC laboratory in compliance to PIC/S GMP.

Main Duties and Responsibilities

The QC Analytical Chemist will be responsible for:

• Performing routine QC release testing (HPLC, GC, radioTLC etc) on radiopharmaceutical to ensure quality and safe for clinical use in compliance with PIC/S GMP requirements.
• Support routine QC operations such as daily equipment checks, monthly standard calibration, documentation activities.
• Conducting routine microbial testing activities such as microbial plate incubation, sterility testing, bioburden testing, etc and liaising with third party contractors if required.
• Managing raw materials, including inventory control, purchasing, receipt and status tracking of raw materials.
• Developing and validating QC test methods for the radiopharmaceutical QC release testing.
• Assisting in preparation and maintenance of Standard Operating Procedures (SOPs), Work Instructions (WIN), Recordsheets (REC), etc and fill in Batch Manufacturing Records (BMR).
• Supporting in the managing of equipment in the QC and Metabolite laboratories, including qualification, operation, maintenance, cleaning, calibration and re-qualification activities.
• Supporting Production in Research & Development activities when required.
• Maintaining cleanliness and housekeeping within QC laboratories, raw material storage areas, and the cyclotron facility.
• Handling chemical and biohazard waste disposal activities for QC department in accordance with safety and regulatory requirements.
• Adhering to the university’s safety and health policies and guidelines.
• Performing environmental monitoring activities in cleanroom facilities, including environmental and airborne particle sampling, when required
• Undergoing cross-training to support routine radiopharmaceutical manufacturing activities in Production, where necessary.
• Any adhoc duties assigned in support of departmental and operational needs

Physical Demands and Work Environment

Personnel should be comfortable with:

• exposure to radiation when handling radioactive samples.
• handling of chemicals for QC testing (flammables, acids, and bases).
• Handling chemical and biohazard waste
• Occasion lifting heavy objects such as lead shield containment (lead pots)
• Comfortable with routine and repetitive work
• Standard working hours with occasional overtime

Qualifications

The applicant should:

(a) Have a minimum of BSc degree in Chemistry, Biochemistry, pharmacy or a related field;

(b) Good knowledge and experience on GMP (Good Manufacturing Practice) or GLP (Good Laboratory Practice);

(c) Preferably hands-on experience with operating and maintaining analytical instruments such as HPLC, GC, and also aseptic isolator for sterility testing.

(d) Have good analytical processing skills, as well as,

(e) Have good critical thinking and proactiveness at work

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

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

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Assist in conducting research on cybercrime and AI-enabled threats using large language models (LLMs), artificial intelligence techniques, and empirical security analysis methods.

• Support the design and implementation of research prototypes and tools for AI-driven cyber threat analysis, malicious activity detection, and cybercrime measurement.

• Collaborate with academic and industry partners by assisting in project-related research tasks, experiments, documentation, and technical discussions in cybercrime and AI security research.

• Support the preparation of research outputs, including literature reviews, experiment summaries, technical reports, figures, tables, and manuscript drafts for academic publication.

• Assist in proposal preparation and grant-related documentation in areas such as cybercrime, AI-driven cybercrime measurement, and AI security.

• Assist in building and maintaining experimental platforms, benchmarks, and datasets for cybercrime measurement, threat analysis, and LLM security.

Job Requirements:

• A Bachelor degree in Computer Science, Cyber Security, or a related discipline.

• Research or applied experience in cybercrime measurement, AI-enabled cybercrime analysis, or LLM security through coursework, projects, internships, or research activities.

• Knowledge of cybercrime concepts and LLM prompt techniques.

• Proficiency in programming languages such as Python, C/C++, and Java.

• Familiarity with vulnerability analysis, network analysis, and cybercrime comprehension techniques through coursework, projects, or hands-on practice.

• Ability to support academic writing and research outputs, including literature reviews, technical reports, experiment summaries, and manuscript preparation for international conferences.

We regret that only shortlisted candidates will be notified.

The School of Electrical and Electronic Engineering (EEE) at NTU is one of the world’s largest engineering schools and ranks 4th globally for Electrical & Electronic Engineering (2025 QS World University Rankings by Subject). Sia Laboratories, led by Asst Prof Brian Sia, is affiliated with the National Centre for Advanced Integrated Photonics (NCAIP) and a DSO Quantum Sensing Centre, and works across heterogeneously-integrated photonics, hybrid III–V/Si and III–V/TFLN lasers, optical frequency combs, RF photonics, FMCW LiDAR, and quantum photonic sensing. We are seeking a Research Fellow, Integrated Photonics, to advance the design, fabrication, and characterisation of next-generation hybrid photonic devices and to lead system demonstrations relevant to RF channelisation, coherent LiDAR, and rubidium-based atom interferometry.

We are looking for a Research Assistant, Integrated Photonics to advance the design, fabrication, and characterisation of next-generation heterogeneously-integrated photonic devices for laser, RF photonic, LiDAR, and quantum-sensing applications. The role will focus on hybrid III–V on silicon and III–V on thin-film lithium niobate (TFLN) integration, semiconductor laser physics (E-DBR Pockels FM lasers, Vernier external-cavity lasers, optical frequency combs), and end-to-end system demonstrations in coherent FMCW LiDAR, photonic RF channelisation, and rubidium-based quantum sensing.

Key Responsibilities:

• Design, simulate, and tape-out integrated photonic devices on silicon, thin-film lithium niobate (TFLN/TFLT), Si₃N₄, and III–V/Si heterogeneous platforms using FDTD, EME, and photonic-circuit simulators (e.g., Lumerical, Tidy3D, INTERCONNECT).

• Develop, fabricate, and characterise hybrid III–V/TFLN and III–V/Si₃N₄ semiconductor lasers — including E-DBR Pockels FM lasers, Vernier external-cavity lasers, and optical frequency-comb sources — and lead device runs from layout (GDSII) through foundry submission, post-fab assembly, and packaging.

• Build and operate optical and RF measurement setups for laser linewidth, frequency-noise, RIN, optical-spectrum, electro-optic S-parameter, and FMCW-LiDAR ranging characterisation.

• Publish first-author papers in leading journals (e.g., Nature Photonics, Optica, Light: Science & Applications, JLT, JSTQE, APL Photonics) and present at flagship conferences (CLEO, OFC, ECOC, IPC, Photonics West).

Job Requirements:

• Bachelor in Electrical and Electronic Engineering or related field

• At least 2 years of relevant experiences in integrated photonics research

• Familiarity with photonic design tools (Lumerical FDTD/EME/INTERCONNECT, Ansys, Synopsys RSoft, or Tidy3D) and GDSII layout in KLayout, gdsfactory, IPKISS, or PHIDL

• Good written and oral communication skills evidenced by first-author publications in leading photonics journals and presentations at flagship conferences (CLEO, OFC, ECOC, IPC, Photonics West)

• Proficiency in practical optical and microwave measurement (tunable lasers, OSAs, ESAs, VNAs, lock-in detection, RF probing); familiarity with phase-noise / linewidth / RIN measurement and coherent detection is a strong advantage

• Competent in scripting and data analysis in Python or MATLAB, with comfort using version control (Git) and reproducible scientific workflows

• Strong interpersonal skills, with the ability to work independently and deliver against tight project milestones, meticulous attention to detail, and excellent organisational, documentation, and time-management habits

• Preferred: prior experience with one or more of — photonic packaging and butt-coupling, flip-chip / wire-bond assembly, electro-optic modulator design, FMCW LiDAR system architecture, or atom-interferometry-grade laser systems

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

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Point-of-Care-Diagnostics%2C-iHealthTech%29/33268-en_GB/

We regret that only shortlisted candidates will be notified.

About iHealthTech

At iHealthtech, we envision advancing health through innovation, integration of smart technology and on-demand health solution. Our organisation consists of an interdisciplinary team of scientists, engineers, and clinicians who work with our industrial partners to push the frontier of science to meet patients' needs. 

Job Description

We are seeking highly motivated Research Assistants to join a multidisciplinary team developing next-generation point-of-care (POC) diagnostic technologies for cardiovascular and other diseases.

Successful candidates will contribute to one or more of the following research areas:
•    Electrochemical biosensors for disease biomarker detection
•    Passive microfluidic plasma separation devices for finger-prick blood sampling
•    Portable wireless electrochemical reader systems, embedded electronics, and AI-enabled diagnostics

These positions offer hands-on experience at the intersection of biomedical engineering, microfluidics, biosensors, electronics, software development, and translational healthcare technologies.

Key Responsibilities

• Design, prototype, and test microfluidic devices, electrochemical sensors, and portable diagnostic systems.
• Support fabrication processes including micro/nanofabrication, surface modification, and device integration.
• Conduct experimental evaluation of device performance using biological samples and laboratory models.
• Assist in the development of embedded systems, data acquisition hardware, wireless communication modules, and user-interface software.
• Support signal processing, data analysis, and integration of AI-based analytical tools for automated interpretation of diagnostic results.
• Collect, organize, and analyze experimental data using appropriate software tools.
• Work closely with postdoctoral fellows, clinicians, engineers, and interdisciplinary collaborators.
• Maintain laboratory records, prepare technical reports, and contribute to publications and presentations.
• Ensure compliance with laboratory safety procedures and good research practices.

Qualifications

• Bachelor’s or Master’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Mechanical Engineering, Materials Science, Chemical Engineering, Biotechnology, Computer Science, Chemistry, or a related discipline.
• Hands-on experience through coursework, research projects, internships, or laboratory work in one or more of the following areas:Biosensors and electrochemistryMicrofluidics and lab-on-chip systemsBiomedical device developmentEmbedded systems and electronicsSoftware development and data analysis
• Strong analytical, organizational, and problem-solving skills.
• Ability to work effectively in a multidisciplinary research environment.

Preferred Skills

Experience in one or more of the following areas will be advantageous:

• Electrochemical sensing and techniques such as CV, DPV, SWV, EIS
• Microfluidic device design, fabrication, and plasma separation technologies
• Microcontrollers, embedded firmware, wireless communication systems, and hardware prototyping
• Surface chemistry, biomolecular functionalization, and bioassay development
• CAD design, 3D printing, laser cutting, or soft lithography
• Data analysis, signal processing, AI/ML, Python, MATLAB, or related tools
• User-interface development and scientific data visualization
• Strong interest in translational diagnostics, point-of-care technologies, and biomedical innovation

Application

To apply, please send the following to the NUS Career portal:

• Curriculum Vitae (CV)
• Names and contact details of three referees (name, institution, and email)

We regret to inform you that only shortlisted candidates will be contacted.  

· Updates management on sub-contractor's claims status (i.e. work performed, penalties, back-charges, advances imposed on sub-contractors);

· Prepares debit notes on back-charges and/or penalties imposed on sub-contractors; follows up to ensure that such debit notes are contra against claims raised by sub-contractors;

· Assists in identifying and resolving discrepancies/errors between records of sub-contractor work completed against sub-contractor claims;

· Verifies and ensures that payment certifications issued to sub-contractors are in accordance with approved sub-contractors’ interim payment recommendations;

· Reconciliation of sub-contractors’ invoices against payment certification issued;

· Prepares accrual listing reporting on a quarterly basis (i.e. work done by sub-contractors yet to be billed);

· Works closely with external suppliers to ensure the accuracy in price and quantity for materials ordered & delivered;

· Reconciliation of delivery orders against approved purchase orders and suppliers invoices;

· Liaises and rectifies discrepancies/disputes with external supplies;

· Liaises with QS of any discrepancy in certification amount;

· Liaises with finance for payment that requires immediate attention due to site work schedule;

Performs any other duties as may be assigned.

1. Manage company vehicle matters, including but not limited to taxes, registrations and fines
2. Support finance executive on daily operations
3. Prepare cheque and manage petty cash
4. Manage company insurance matters
5. Bank deposits and visits as required
6. Monitor and review of outstanding invoices with prompt resolution of queries.
7. Ensuring all supplier invoices are filed accurately and timely.
8. Reconciliation of supplier statements. Handling communications with suppliers via phone,email, and in-person and resolving queries.
9. Processing transactions, issue cheques, and updating ledgers, budgets, filling etc.
10. Prepare and submit monthly bank reconciliation statement.
11. Assist in audit requirement and confirmation request.
12. Any other duties assigned by superior

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. We are looking for a Project Officer to develop intelligent detection and picking methods of extracting weak yet coherent signals from 2D acoustic or seismic recordings.

Key Responsibilities:

• Develop and apply innovative 2D seismic phase picking methods

• Extract seismic phases for enhancing practical findings

• Publish high-impact research articles in leading international journals

• Assist in the preparation and development of competitive research proposals

• Support the supervision and mentoring of undergraduate students

Job Requirements

• Bachelor’s degree in exploration seismology, applied geophysics, or related field

• At least 2 years of relevant experience in geophysical signal processing

• Familiarity with related literature and software

• Good written and oral communication skills

• Entry level candidates are welcome to apply

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

About the Project

New Hope Community Services is undertaking Singapore's first Housing Sustainability Research Study under the Integrated Housing Reintegration Programme (IHRP). The Research Assistant will support participant recruitment, data collection, programme monitoring, database management and research administration.

Duration

• 10-Month Contract (July 2026 – April 2027)
• Extendable subject to project needs and funding.

Reporting To

• Head, Social Housing / Principal Investigator

Key Responsibilities

Research Coordination

• Support implementation of the IHRP Housing Sustainability Study across SRSF and JSS-OR sites.
• Coordinate participant recruitment, onboarding and assessment scheduling.
• Maintain participant tracking logs and follow-up schedules.
• Support participant incentive disbursement and documentation.

Data Collection & Assessment Administration

• Administer Housing Sustainability Risk Assessments and Quality of Life surveys.
• Conduct baseline and follow-up assessments according to study protocol.
• Ensure completeness and accuracy of assessment forms.
• Liaise with staff to coordinate assessment appointments.

Database & Data Management

• Maintain research databases and participant records.
• Perform data entry, verification and cleaning.
• Conduct routine quality assurance checks.
• Ensure compliance with confidentiality and governance requirements.

Programme Monitoring & Research Support

• Track programme enrolment and participation.
• Monitor intervention attendance and completion rates.
• Support literature reviews, descriptive statistics and data summaries.
• Assist with interim reports, presentations, and publications.

Administrative Support

• Coordinate meetings and stakeholder engagements.
• Maintain study documentation and filing systems.
• Support project logistics and procurement.
• Perform other project-related duties assigned.

Requirements

• Diploma or Degree in Social Work, Psychology, Sociology, Public Health, Statistics or related disciplines.
• Experience in research, programme evaluation or data management preferred.
• Strong organisational, communication and analytical skills.
• Proficient in Microsoft Office; SPSS/R/NVivo familiarity advantageous.

Expected Deliverables

• Recruit approximately 70 study participants.
• Administer baseline and follow-up assessments.
• Maintain accurate research database and participant tracking system.
• Support incentive administration and follow-up.
• Produce cleaned datasets and support statistical analysis.
• Support interim and final evaluation reports.

The intent of this job description is to provide a representative summary of the major duties and responsibilities of the position. You may be required to perform job-related task other than those specifically presented in this description. This job description does not constitute a contract of employment.

· Assist to screen candidates and coordinate interviews

· Assist to arrange and coordinate interviews

· Advertise, search and schedule candidates for interview

· Manage end-to-end process of onboarding and off boarding of employees

· Handle EP, work pass application, renewal, and cancellation

· Support daily administration/operations matters

· Other admin duties assigned by the Superior

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• To conduct independent research in quantum algorithm design.

• To seek and demonstrate practical utility of using AI for automating quantum algorithm design.

• To analyze complex wave-based physical systems and their high-dimensional parameter spaces in the context of quantum algorithm design.

• To produce publications in top conferences and journals.

• To offer guidance and assistance to any students involved in the project.

• To collaborate with industrial and academic partners.

• To collaborate with interdisciplinary teams, including experts in physics, chemistry, and those who work on quantum computing hardware.

• To perform any other duties related to the research program.

Job Requirements:

• Preferably Bachelor’s degree in Physics, Computer Science, Engineering, Mathematics, Machine Learning or relevant fields.

• Experience in interdisciplinary research involving physics, deep learning, and mathematics is preferred.

• Strong theoretical background in physics, quantum many-body physics, quantum algorithms, or closely related areas in complex physical systems (e.g., optics, photonics, or wave-based systems).

• Good programming skills in Python. Familiarity with scientific computing frameworks (e.g., PyTorch, TensorFlow, or quantum computing toolkits such as Qiskit or PennyLane) will be an advantage.

• Experience in quantitative modelling, optimization methods, or the analysis of complex physical systems is preferred.

• Capable of handling multiple tasks across projects and research activities.

• Show excellent communication skills, and willingness to learn.

• Able to excel as an effective team member.

We regret that only shortlisted candidates will be notified.