Total 1,123 research assistant job vacancies in Education / Training category in Singapore

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/33378-en_GB/?st=D69A109800B45D05A9B168D1AA363BC6A2D3EC43

We regret that only shortlisted candidates will be notified.

Job Description

The job holder will assist with provide data management, analytical and reporting support for research project.

Duties & Responsibilities 

• Clean and document survey datasets to ensure data accuracy, consistency and readiness for analysis
• Conduct predictive analysis using statistical and analytical methods to identify patterns, trends and insights from survey data
• Develop data visualisations, reporting outputs to communicate survey findings
• Prepare technical documentation and analytical reports and provide support in the interpretation and presentation of survey results for research purpose.
• Any other duties as assigned

Qualifications

• Degree in Data Science and Economics , Computer Science or a related discipline
• Experience in survey data management
• Proficient in statistical and analytical software
• Experience in development of data visualisation and analytical reports using relevant tools
• Strong analytical, problem solving and communication skills with ability to present findings clearly in both technical/non-technical way
• Ability to work independently, manage multiple tasks and meet project datelines in a research environment

COMPANY DESCRIPTION

THKMC was incorporated on 13 October 2011 as a charity to provide multiple social and welfare services to the community at large, and achieved an Institute of Public Character (IPC) status on 18 November 2011. THKMC is the charitable arm of Thye Hua Kwan Moral Society, which lives by the mission - To Serve Mankind - to help anyone who needs help regardless of their race, religion, colour, language, creed and culture. THKMC today serves more than 70,000 beneficiaries through more than 70 programmes across five Services, which include Disability, Early Intervention for Children, Family, Seniors' Community, and Therapy.

RESPONSIBILITIES

• Quantitative / qualitative research
• Interview participants
• NVIVO, R, SPSS, JANOVI experience will be a bonus

• Degree/Diploma in Social Work or Psychology
• Strong admin skills
• Strong excel skills.

• Interest in working with substance use population.

The School of Mechanical & Aerospace Engineering conducts research to enhance knowledge and drive innovation in urban mobility and to pave the way for Singapore's future land transport system. We are seeking to hire a Research Assistant / Associate to help in investigating the relationship between autonomous vehicles and path users on public paths. The role focuses on the design, development, and operation of experimental test rigs, including laboratory setups and field experiments.

Key Responsibilities:

• Experiment setup and testing

• Component assembly

• Sensors and hardware integration

• Data acquisition and analysis

Job Requirements:

• Education qualifications: B.Eng or M.Eng in Mechanical Engineering, Mechatronics, or related field.

• Good verbal and written communication skills, ability to work independently and in a team

• Proficient in mechanical experiment setup and testing, mechatronic systems integration involving sensors/actuators. Working knowledge of data acquisition and analysis, microcontrollers, and CAD tools is desirable.  

• Prior industrial or research experience in building experimental test rigs and mechatronics systems.

• Strong problem-solving ability, attention to details, and commitment to delivering high-quality research outputs.

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-Assistant-%28Physics%29/33339-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Associate Professor Utkur Mirsaidov on exciting research nanoscience projects using cutting-edge in-situ high-resolution transmission electron microscopic techniques (TEM).

Main responsibilities:

• Responsible for micro- and nanofabrication, process improvements, and developing designs for new devices.
• Since the candidate will be working in an international and multicultural environment, fluency in English and good people skills are essential.
• We are a group of dynamic and creative researchers who love science, looking for like-minded candidates who are willing to head on challenges and go extra miles.

The successful candidate is also privileged to be trained on advanced microscopic techniques that bring you to the next level in the research world.

Training provided:

• Transmission electron microscope (TEM)
• Scanning electron microscope-focus ion beam (SEM-FIB)
• 2D material transfer and fabrication

Qualifications

Bachelor Degree or higher in one of the following disciplines: Physics, Engineering, Mathematics.

Skills:
•    Main: Solid programming skills with experience in Python/Matlab/
•    Bonus: Imaging process, visualization, scientific image analysis experience, cleanroom (microfabrication) experience.
•    Possess great interpersonal and communication skills, hard-working, and not afraid of challenges

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-%28Microbiology-&-Immunology%29/20750-en_GB/?st=BBE292BB043DB988997818261DB218F6EFE0D99F

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for “Singapore Integrated Network for Genomic and Epidemiological Tick-borne Pathogen Investigation and Connectivity” in the Department of Microbiology & Immunology, Yong Loo Lin School of Medicine. The Department of Microbiology and Immunology (https://medicine.nus.edu.sg/mbio/) at NUS is dedicated to advancing research, teaching, and training in infectious diseases, immunity, and host-pathogen interactions. It is well known for strengths in immunology, virology, bacteriology, parasitology, and molecular biotechnology, supported by strong core research facilities and graduate training opportunities. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will work closely with the Principal Investigator (PI) and study team members to support the successful completion of a tick and tick-borne diseases biosurveillance project in Singapore. The RA’s principal role will be to support field sampling and surveillance activities, manage and process study data for analysis and reporting, and contribute to accurate record-keeping and documentation to ensure project milestones are met on time.

Main duties and responsibilities

1. The Research Assistant will liaise with relevant personnel to facilitate the smooth running of fieldwork and related data workflows and will be accountable to the Principal Investigator (PI). The RA will be able to:
2. Provide administrative support to the project, such as organising regular meetings, maintaining communication with research team members and collaborators, and supporting scheduling and tracking of project tasks.
3. Support the day-to-day coordination of project activities, including planning and logistics for biosurveillance fieldwork across multiple sites in Singapore.
4. Provide administrative support to the project, such as organising regular meetings, maintaining communication with research team members and collaborators, and supporting scheduling and tracking of project tasks.
5. Assist with fieldwork operations at study sites, including supporting systematic collection activities and maintaining clear, consistent field records in line with project protocols.
6. Manage, clean, and process field and project data for analysis and reporting, maintaining well-organised datasets and contributing to the upkeep of project databases.
7. Support basic data analysis, visualisation, and reporting using relevant tools (e.g., MS Office, R Studio; ArcGIS where spatial outputs are needed), and assist with preparing progress updates and final reports.
8. Maintain high standards of professional conduct, data integrity, and record-keeping in accordance with project policies and procedures.
9. Assist with any other duties of a similar nature as delegated by the PI.

Qualifications

The applicant should:

1. Demonstrate competence in GIS-based mapping and spatial analysis (e.g., using ArcGIS), with the ability to support vector and tick-borne disease biosurveillance mapping and the integration of environmental and climate-related spatial data (e.g., satellite-derived indices, land cover, and other relevant layers) for analysis and reporting.
2. Have experience with field-based sampling and surveys, including working across varied habitats and maintaining accurate field notes, metadata, and sample documentation in accordance with project protocols.
3. Have a background in species identification and specimen handling, including experience with morphological documentation and/or contributing to species or ecological databases, with strong attention to detail in recording and data quality.
4. Have familiarity with molecular biology laboratory workflows relevant to biosurveillance (e.g., DNA extraction and PCR), and be able to follow laboratory protocols, maintain clear lab records, and support downstream identification workflows as required.
5. Be comfortable managing and organising datasets for analysis and reporting, and be proficient with standard productivity and data tools (e.g., MS Office), with added advantage of experience in analytical software (e.g., R).
6. Be able to work independently and collaboratively, with strong organisational and communication skills, and a professional approach to safety, confidentiality, and research integrity.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Benoit Malleret at benoit_malleret@nus.edu.sg.

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

We regret 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-%28Chemistry%29/33296-en_GB/?st=A995DE39F8DA5ECF6CD7640B102DE677C18D0B87

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst. Prof. Liviu Ungur on development of the sampling methodology of machine learning potentials under a project on "Achieving Transferability in MLFFs via Targeted Sub-Configuration Space Curation and Sampling".

The main responsibilities of the position include:
•    Generation of the training data for machine learning potentials
•    Study of the configuration space map, clustering of configurations
•    Contribution to the MLFF training software

Qualifications / Discipline:
•    BSc in Chemistry or Physics 

Skills:
•    Working skills with machine learning tools, such as TensorFlow, PyTorch, pyhton coding and bash scripting, etc.
•    Experience with solid-state softwares, such as VASP or Quantum Esspresso. 
•    Experience with molecular dynamics simulations with Lammps / Gromacs.

Experience:  
•    Working experience with high-performance computing clusters, such as NSCC or HPC @NUS.
•    Several years of research experience in the field of computational material science, computational chemistry, computational phy

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-%28Laboratory-Coordinator%29/33309-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Location: Lung Diseases Research Laboratory in the Department of Physiology, National University of Singapore

Email interest with CV and list of at 2 referee letters to NUS Career Portal

Research Assistant (Laboratory Coordinator)

The Research Assistant (Laboratory Coordinator) will support the administrative and operational functions of the laboratory, ensuring efficient coordination of research activities and compliance with institutional policies. The role also includes providing experimental support to Research Fellows/Associates and students where required.

Key Responsibilities

• Coordinate project administration, including procurement, purchase orders, and invoice processing
• Maintain accurate laboratory records, documentation, and filing systems (electronic and hardcopy)
• Support day-to-day laboratory operations, logistics, and inventory tracking
• Provide technical and experimental support to Research Fellows/Associates and students, where applicable, hands-on experience in animal work is preferred
• Assist with basic laboratory procedures and ensure proper use of equipment and resources, including safety-related documentation and procedures
• Liaise with internal departments (e.g., finance, procurement, safety) and external vendors
• Ensure compliance with institutional guidelines and standard operating procedures

Qualifications

• Bachelor’s degree in Biological Sciences or a related discipline
• Proven experience in project coordination or administrative roles
• Strong organizational skills with high attention to detail
• Prior laboratory experience with animal handling is advantageous

Skills & Competencies

• Ability to work independently and manage multiple priorities
• Strong interpersonal and communication skills
• Ability to support experimental work in a collaborative research environment

Application Instructions

Interested applicants should submit a CV, a cover letter, and three reference letters.

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 a Research Assistant to work on world model. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in world model, Multimodal Large Language Models and Video Diffusion Models.

Key Responsibilities:

The research assistant will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Providing general support for the lab

Job Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in world model, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Demonstrates initiative and a strong drive to achieve objectives.

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

COALITIONGREENWICH: 

Coalition Greenwich is a leading analytics and business intelligence provider to the financial services industry. Our clients include Corporate and Investment Banks, Asset Managers, and Fintechs. We specialize in providing unique, high-value, actionable information to help our clients improve their business performance. Our suite of analytics and insights encompass all key performance metrics and drivers: market share, revenue performance, client relationship share and quality, operational excellence, return on equity, brand perception, behavioural drivers, and industry evolution. We are a division of CRISIL, an S&P Global Company.

THE ROLE:

The ideal candidate is passionate about developing relationships and uncovering insights in the finance industry with respect to Corporates and Financial Institutions

You will be responsible for cultivating relationships with senior buy-side professionals and obtaining valuable insights that give Coalition Greenwich its competitive advantage in the global consulting market.

In addition, you will help execute marketing strategies and conduct face to face and phone interviews directly with decision makers at some of the highest levels of global organizations. Individuals in this position will work closely VP of Asia Fielding as well as our consultants who run the study and provide the subject matter context to inform your interviews. Strong verbal and written communication skills, as well as the ability to be persuasive with buy-side clients are critical to the success of this role; financial markets knowledge is essential.

You will be expected to:

• Arrange and conduct interviews with financial executives at selected Corporates and Financial institutions
• Represent Coalition Greenwich to top executives, demonstrating high levels of ability, knowledge and integrity
• Build and nurture relationships through in-person and telephone interviews
• Collect data through conversations and questionnaires. Input data into Coalition Greenwich platform
• Contribute to Coalition Greenwich research and insights through the data gathering and relationship building process
• Manage team of freelancers in similar capacity
• Nourish freelancers with product knowledge

YOUR EXPERTISE:

Our ideal candidate is seeking to make a substantial difference to the quality of data in Singapore. Being a good relationship builder, professional manner and self-starter are essential. Candidates must also have experience in the Singapore market. Furthermore, the ideal candidate should possess the following essential (and desired) requirements:

• Experience in wholesale banking or finance sector
• Demonstrates solid business judgment and the ability to think and act independently
• Able to manage a portfolio and return the desired results within the allotted timeframe
• Excellent written and verbal communication skills
• Technically capable in Excel
• Outstanding organizational, persuasive, and time-management skills
• Tenacity and perseverance toward study results
• Solution driven and creative thinker
• Excellent phone manners

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.

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.

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more details, please view https://earthobservatory.sg/

We are looking for an ambitious and highly motivated Research Assistant to work under the supervision of a Project Manager. The role will focus to support the communication and translation of various research outcomes to various stakeholder groups, including but not limited to the public, government agencies, and NGOs through clear, engaging and evidence-based content and outreach activities. As ASE and EOS together form an interdisciplinary research and education ecosystem, the incumbent may also be required to support with content development and communications activities related to Asian School of the Environment (ASE). The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school that aims to be a world leader in environmental research focused on Asian environmental challenges.

Key Responsibilities:

• Generate social media and digital content on topics related to geohazards, environment, and the funded research projects.

• Research and evaluate effective science communication strategies, including the potential role of Generative AI in facilitating science communication of research topics to diverse audiences.

• Support the research group in science communication and outreach activities.

• Assist with stakeholder engagement activities related to earthquake hazards, disaster response, and sea-level rise.

Job Requirements:

• Bachelor’s degree in Communications or a related discipline.

• Background in art, design or digital media, with familiarity or interest in environmental science.

• Strong design and copywriting skills, with a deep understanding of digital culture and social media trends and the ability to create engaging content for student and young adult audiences.

• Ability to work methodically and collaboratively, with strong problem-solving skills and the ability to meet deadlines.

• Proactive and detail-oriented, with a growth mindset and eagerness to learn.

• Proficiency in Adobe Photoshop, Canva, CapCut, DaVinci Resolve, and other relevant video editing tools.

• Proficiency in photography, photo editing, and videography using mirrorless and DSLR cameras.

• Existing networks or connection with nature, climate action, or environmental communities in Singapore and/or Southeast Asia.

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

We regret to inform 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.

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.

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%2C-School-of-Computing/33375-en_GB/

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 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.

Our research will focus on the design and implementation of next-generation AI accelerators, including the development of new architecture designs (dataflow designs), reuse patterns, caching and the development of the infrastructure of the system needed to support the acceleration of AI platforms.

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
• Hardware Design, Circuits and Systems
• Algorithms
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Job Requirements

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