Total 315 Junior Executive level Science / R&D / Research job vacancies

Job Description:

• Load, transport, and deliver items safely and within designated timeframes.
• Conduct pickups and deliveries for assigned areas as per company requirements
• Prioritize and ensure timely delivery of urgent or high-priority goods
• Verify orders before and after delivery to confirm accuracy and customer satisfaction.
• Maintain the vehicle in proper working condition and report any issues promptly.
• Follow assigned routes and adhere to scheduled delivery times.
• Handling store activities, loading, unloading including housekeeping
• Maintain tidiness and care of warehouse equipment to support a safe working environment
• Professionally represent the company with a good attitude and politeness
• Other ad-hoc duties

Requirements:

• Possesses Class 3 Driving License
• Having a Forklift License will be an advantage
• At Least 5 year of driving experience
• Ability to handle manual loading/unloading of heavy materials using proper techniques safely
• Ability to work independently and collaboratively within a team
• Responsible and safety-conscious work attitude

Working Hours:
Monday to Friday 730am - 8pm
Saturday 730am - 3pm

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-%28Dept-of-Pharmacology%29/32332-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

STATEMENT OF PURPOSE

To conduct neuropsychological assessments, and to assist in research procedures. Candidates will gain training and exposure to research skills (running study, data collection, data analysis and communication skill). 

DUTIES AND RESPONSIBILITIES 

(A) SPECIFIC (80%)

1. Conduct neuropsychological assessments, clinical interviews, deliver interventions and follow-up of patients and subjects for research purposes 

2. Assist in project planning and study material preparation of research projects 

3. Involved in project coordination of research projects 

4. Assist in data entry and data analysis of research projects 

5. Obtaining additional or confirmatory clinical data by interviews with caregivers 

(B) GENERAL (20%)

1. The Research Assistant will carry out other duties as specified by their Reporting Officer.

Qualifications

• JOB REQUIREMENTS 

(A) EDUCATION, TRAINING AND EXPERIENCE

1. BSc, BA, BA (Psych) or relevant Background. Final year students are welcome to apply. 

(B) LANGUAGE

1. Able to speak English, Mandarin and/or Chinese dialects as you may required to liaise with elderly participants who only speak their mother tongue 

2. Fluency in Malay or Tamil are added advantage as you may required to liaise with elderly participants who only speak their mother tongue 

Job Summary

Perform accounting functions including accounts payable and receivable, prepare and send invoices and statements, manage purchase orders and records, and resolve billing queries to support accurate financial operations.

Job Description

• Perform accounts payable and accounts receivable functions to ensure accurate financial processing
• Prepare, check, and deliver invoices and statements of accounts to customers via mail, email, WhatsApp, and other channels
• Send payment reminders and follow up with customers to secure timely payments
• Process supplier purchase orders and invoices to maintain accurate records
• Maintain up-to-date and accurate system records, including general ledger entries, to support financial reporting
• Organize and maintain a proper filing system for all documentation and records
• Respond to and resolve customer billing queries to ensure customer satisfaction
• Complete any other ad hoc duties as assigned

Job Requirement

• Possess a certificate in accounting, LCCI bookkeeping, or an equivalent qualification
• Proficient in Microsoft Office applications including Excel, Word, and Outlook
• Able to work independently with strong time management skills and the ability to prioritize tasks
• Able to communicate effectively in English and Mandarin with clients
• Knowledge of Auto Count software is an advantage; training will be provided
• Ability to multitask effectively and collaborate well as a team player
• Entry-level candidates are welcome to apply

Other Information

Working Hours:

• Monday to Friday 08: 30am to 5:30pm
• Saturday 08: 30am to 1:00pm

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-%28DISA%29/32357-en_GB/?st=41085BF5874C402EC4DA49352CBB9F7BD4C5EDB7

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 Information Systems and Analytics (DISA), 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 Information Systems and Analytics.

The successful candidates 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

Qualifications

• Bachelors or fresh Master’s degree in a relevant area
• Experience in research
• Comfort in reviewing and summarizing research papers
• Comfort in handling and analyzing large data sets
• Prior research experience preferred
• Strong command of English (written and spoken)

CONTRACT POSITION!!!

SCIENCE LABORATORY ASSISTANTS

SINGAPOREANS/ PRs ONLY

($2,100-$2, 300)

LOCATION

CENTRAL/NORTH-EAST

JOB DESCRIPTION

The Services required are set out as follows:                                                 

• To support inquiry-based learning for Science.
• To support the smooth operations of two science laboratories with a focus on enabling hands-on learning for science learning.
• To assist teachers in the preparation of materials and apparatus for science practical lessons and assessments.
• To manage, operate, care and maintain the science laboratories and science learning environment (eg. school garden and science corners)
• To source and procure equipment and materials and maintain an inventory list of consumables and keep track of inventory.
• To take responsibility for laboratory safety and may be required to serve as a certified first aider.
• To assist in classes, workshops and other events in logistic support and supervision of safe use of laboratory tools.
• Provide administrative support as deployed by the school.

JOBREQUIREMENTS

• NITEC Diploma or GCE ‘O’ Level Certificate
• Have at least 2 years of similar experience as a lab technician in a primary school
• Good communication and interpersonal skills
• Preferably proficient in MS Office such as Word, Excel and PowerPoint.
• Able to handle live specimens, such as insects and chemicals

WORKING HOURS

• Mondays to Fridays: 7.00 am to 4.30 pm, inclusive of 1hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

SERVICE CONNECTIONS HR CONSULTANCY PTELTD

Email resume to - servcon@singnet.com.sg/ / recruit@serviceconnections.com.sg

OR

Call for more details please call at 6333 0052
Mondays to Fridays
9.00am - 5.00pm

111 North Bridge Road
#07-30 Peninsula Plaza
Singapore 179098
www.serviceconnections.com.sg
License no: 09C4937 / R11022931

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 seeking a Research Assistant (PhD student) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large language models (LLMs), vision-language models (VLMs), and vision-language-action models (VLAs), across a range of model scales and application scenarios. The Research Assistant will advance efficient AI techniques that enable scalable deployment on cloud, edge, and robotic platforms. The Research Assistant will contribute to the University’s mission by conducting high-impact research, developing innovative efficiency-oriented methods, and disseminating research outcomes through publications, collaborations, and open-source contributions.

Key Responsibilities:

• Develop accelerated AI/ML and robotics algorithms that significantly reduce computation cost, memory footprint, and power consumption.

• Design and optimize efficient training and inference pipelines for foundation models (LLM, VLM, VLA) across different model sizes and deployment settings.

• Apply and advance model compression techniques, including quantization, pruning, knowledge distillation, low-rank adaptation, and related methods.

• Conduct algorithm-hardware co-design to enable efficient and accurate deployment of AI algorithms on robotic, edge, and heterogeneous computing platforms.

• Develop methods for efficient deployment of AI models on cloud and edge devices, considering latency, throughput, and energy constraints.

• Implement, evaluate, and benchmark accelerated models using rigorous experimental protocols.

• Contribute to research publications in top-tier AI, ML, and robotics conferences and journals.

• Collaborate with interdisciplinary teams spanning AI, systems, and robotics.

• Contribute to open-source codebases and reproducible research practices.

Job Requirements:

• A Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a closely related field.

• Strong research background in AI and machine learning, with a focus on efficient or accelerated models.

• Proven experience with model compression techniques, such as quantization, pruning, distillation, and low-rank adaptation.

• Demonstrated experience working with foundation models, particularly vision-language models (VLMs); experience with LLMs or VLAs is a strong advantage.

• Solid understanding of algorithm-hardware co-design, especially for robotics or edge AI deployment.

• Strong programming skills in C, C++, and Python, with experience in deep learning frameworks such as PyTorch or TensorFlow.

• Familiarity with deployment constraints on cloud, edge, or embedded systems.

• Experience in robotics, embodied AI, or autonomous systems is an advantage.

• Strong publication record or clear potential to publish in leading international venues.

• Ability to work independently, manage complex research tasks, and collaborate effectively in interdisciplinary teams.

• Good written and oral communication skills.

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

Key Responsibilities:

• Plan and execute experiments towards the research objectives of the team

• Document and maintain accurate and timely records of all work conducted

• Data analysis and reporting

• Contribute to formulating hypothesis, grant writing, publications in peer-reviewed journals and present research findings at conferences, seminars, and meetings

• Participate in weekly lab meetings

• Provide research support to other team members as required

• Contribute to laboratory maintenance, purchasing, and safety duties

• Contribute mentoring to more junior members of the team where required

• Contribute to an open, transparent and collegial team culture, collaborate both within the team as well as with external collaborators

Job Requirements:

• Diploma or Bachelor’s or Master’s degree in biological/biomedical sciences or related field (including veterinary sciences)

• At least one year research experience in a wet-lab environment

• Good written and oral communication skills

• Good interpersonal skills, ability to work independently as well as in a team

• Meticulous, with attention to details

• Excellent organizational and time management skills

• Ability to work collaboratively in a fast-paced environment

Desirable:

• Prior research experience in neuroscience preferred

• RCULA certification preferred

• Prior research experience with bioinformatics is advantageous

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-%28Healthy-Longevity-TRP%29/29706-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) invites applications for a Research Assistant position in Dr Mohammad ALFATAH’s lab, part of Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab is dedicated to understanding the biology of aging and identifying geroprotective interventions to promote healthy longevity. Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will work closely with Principal Investigator (PI) to support ongoing research projects focused on chemical (e.g., drugs, natural products, metabolites) and genetic interventions for neurodegenerative diseases, including Alzheimer’s disease. The role includes evaluating the efficacy of candidate interventions using cellular and disease models.

Main duties and responsibilities

1. Conduct cell culture, high-throughput chemical/genetic screening, and molecular biology experiments involving DNA, RNA, protein work, and multi-omics analyses.
2. Perform literature reviews, design experimental plans, and analyze data independently and reliably.
3. Manage general laboratory operations, including maintaining chemical and cell line inventories, tracking equipment, and supporting project-related administration.
4. Undertake any other related duties as assigned by the PI.

Qualifications

1. Bachelor’s degree and/or Master’s degree in Life Sciences, Biomedical Science, Molecular Biology, or a related discipline.
2. Prior laboratory experience, especially in cell culture and molecular biology techniques, is required.
3. Strong ability to work both independently and collaboratively, with a self-driven and proactive attitude and willingness to learn new skills.
4. Experience in bioinformatics, particularly with Python or R programming, is a plus.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Clarinda Lim at clarinda_lim@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 this job 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-%28Department-of-Computer-Science%29/32322-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Natural Language Processing Group at the National University of Singapore invites applications for Research Assistants in the Department of Computer Science, School of Computing (SoC), in the research area of propaganda detection, which concerns automated detection of targeted and coordinated disinformation campaigns. The appointment is for a period of one (1) year.

Qualifications

The candidate should possess a Bachelor's or Master’s degree in computer science or a related discipline, with outstanding academic record. Strong programming skills (Python and PyTorch) and good command of English (both spoken and written) are also required. Candidates interested in pursuing a PhD degree in computer science are especially welcome to apply.

Interested candidates should apply with a cover letter, CV, degree certificates, academic transcripts, names and email addresses of three (3) referees.

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-%28Psychology%29/32323-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Support a project on closed-loop prediction of voluntary action and pain withdrawal by programming and debugging BCI pipelines, integrating EEG/EMG/thermal stimulation systems, running experiments, analysing data, and preparing technical reports, presentations, and manuscripts.

Qualifications

Bachelor’s degree in computer science, engineering, neuroscience, psychology, or a related field. Strong programming skills required; ability to program in Python and C/C++ is a major advantage. Prior experience with EEG, brain-computer interfaces, signal processing, or real-time classification pipelines is highly desirable. Familiarity with advanced statistical analysis and the ability to translate analysis into clear presentations and written reports is required. Experience with tools such as OpenViBE, MNE, PyRiemann, MATLAB, or related frameworks would be advantageous. Strong debugging skills, attention to detail, and the ability to work independently in an interdisciplinary research environment are essential.

Job Summary

Support inquiry-based science learning by managing and maintaining science laboratories and learning environments, assisting teachers with practical lesson preparation, ensuring laboratory safety, and providing administrative and logistical support in a primary school setting.

Responsibilities

• Support inquiry-based learning by preparing materials and apparatus for science practical lessons and assessments
• Manage, operate, and maintain two science laboratories and related science learning environments such as the school garden and science corners
• Source, procure, and maintain an inventory of laboratory equipment and consumables
• Ensure laboratory safety by monitoring safe use of tools and potentially serving as a certified first aider
• Assist in classes, workshops, and events by providing logistical support and supervising safe laboratory practices
• Provide administrative support as assigned by the school
• Handle live specimens, including insects and chemicals, safely and responsibly

Required competencies and certifications

• NITEC Diploma or GCE ‘O’ Level Certificate
• At least 2 years of experience as a lab technician in a primary school

Preferred competencies and qualifications

• Proficiency in MS Office applications such as Word, Excel, and PowerPoint
• Good communication and interpersonal skills
  
  Working Hours:
• Mondays to Fridays: 7.00 am to 4.30pm, inclusive of 1hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

We are looking for a Research Assistant to support an AI-enabled battery recycling research project that advances sustainable energy and circular economy goals. The role will focus on developing data-driven models and decision tools to improve the efficiency, yield, and cost effectiveness of battery recycling workflows, supporting experimental and simulation studies across the battery lifecycle, and implementing algorithms for process monitoring and optimization so that recycling operations can be more reliable, scalable, and environmentally responsible.

Key Responsibilities:

• Conduct literature review and problem scoping on battery recycling, including process routes such as hydrometallurgy, pyrometallurgy, and direct recycling.

• Build datasets from experiments, sensors, and public sources, and then perform data cleaning, labeling, and feature engineering for battery recycling tasks.

• Develop AI and machine learning models for recycling process prediction and decision support, such as forecasting metal recovery, impurity levels, energy use, and emissions.

• Develop optimization and control methods for recycling resource management, such as reagent usage, temperature profiles, scheduling, and throughput, under safety and quality constraints.

• Support experimental coordination and analysis, including interpretation of characterization and assay results (as applicable), and then translate findings into model inputs and evaluation.

• Prepare technical reports, documentation, and research manuscripts, and also contribute to project presentations and meeting updates.

• Collaborate with the PI and team members, and coordinate with external partners when needed, to ensure milestones and deliverables are met.

Job Requirements:

• Bachelor qualification degree in Computer Science, Electrical Engineering, or related disciplines

• Strong research experience with a good track record of publications.

• Familiarity with machine learning and optimization, such as supervised learning, reinforcement learning, or constrained optimization.

• Good written and oral communication skills for preparing technical reports, presentations, and draft manuscripts.

• Proficiency in hard skills, such as implementing and evaluating algorithms in Python, and maintaining reproducible experimentation.

• Competent in soft skills, such as problem scoping and analytical skills for experimental results interpretation.

• Interpersonal skill, such as good teamwork and collaboration skills to work closely with the PI, team members, and external partners.

• 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-AssistantResearch-Associate-%28Lymphoma-molecular-&-spatial-omics-profiling%29/32301-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Overview

The Department of Pathology at the National University of Singapore invites applications for a Research Assistant to join a multidisciplinary team studying haematolymphoid malignancies, with a focus on lymphoma. The lab integrates genomics, digital pathology, and advanced spatial platforms to advance biomarker discovery and pre-clinical testing of novel therapeutic agents. Your contributions will support improvements in diagnosis, prognosis, and therapeutic targeting for patients with lymphoma.

Key Responsibilities

• Perform experiments in cell culture and molecular biology to support translational research projects.
• Conduct protein and nucleic-acid workflows, including Western immunoblotting and DNA/RNA-based assays.
• Support genomics/epigenomics-related sample preparation and profiling workflows (e.g., DNA/RNA/methylome-related procedures) as required by project needs.
• Optimise protocols, troubleshoot experimental issues and maintain reproducible workflows.

Support role (administration and safety)

• Provide administrative support for research activities as needed.
• Support lab safety and compliance by maintaining records, following SOPs/biosafety requirements, and assisting with audits and safety training.

Qualifications

• Bachelor’s or Master degree in life sciences, biomedical sciences, biochemistry, or a closely related field from a well-recognised university.
• Hands-on experience with molecular biology workflows, preferably involving DNA/RNA extraction and QC, PCR/qPCR
• Strong organisational skills, attention to detail, and excellent written and oral communication.
• Ability to work independently and collaboratively in a diverse, interdisciplinary research environment.

Preferred (advantageous but not required)

• Familiarity with NGS and/or omics platforms (e.g., bulk RNA-seq, targeted sequencing panels, scRNA-seq, methylation or proteomics workflows)
• Willingness to learn bioinformatics and data analysis, with any prior exposure to R/Python, basic command-line, or analysis pipelines

What We Offer

• Training and mentorship in advanced spatial transcriptomics/proteomics, digital pathology pipelines, and reproducible research practices.
• Collaboration opportunities with pathologists, oncologists, and computational biologists.
• Opportunities for co-authorship on publications and conference presentations, commensurate with contribution.
• A supportive and inclusive lab culture focused on rigorous, patient-impactful science.

Representative Publications

• PMID: 38459052 (https://pubmed.ncbi.nlm.nih.gov/38459052)
• PMID: 35021606 (https://pubmed.ncbi.nlm.nih.gov/35021606)

Application Procedure:

• Curriculum vitae (including education, relevant experience, and a list of technical skills)
• Cover letter (briefly describe your fit, motivation, and earliest start date)
• Academic transcript(s) (unofficial copies accepted at application stage)
• Contact information for 3 referees

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

We are seeking a Research Assistant or Research Engineer I to support our research and testing initiatives in power electronics for medium-voltage grid-connected applications. These research efforts align closely with the university’s strategic goals toward building more sustainable societies.

Key Responsibilities:

• Design, implement, and tune digital control algorithms for power converters tailored for smart grid applications.
• Model and simulate control systems including stability analysis and optimization of control parameters for grid compliance and dynamic performance (e.g., under transient and fault conditions).
• Develop and implement firmware for embedded controllers to execute hard real-time control strategies for various power converters and grid interfaces.
• Develop test plans and conduct lab testing and real-time simulations (e.g., HIL) to verify control algorithms and validate system performance under various operating and fault conditions.
• Collaborate with senior engineers to integrate control systems into high-power high-voltage converter systems.
• Prepare comprehensive technical documentation, including design/test reports, control models, test results, and source code.
• Work closely with cross-functional teams including procurement, finance, and safety to support project delivery and compliance.
• Contribute to research proposals, research disseminations, and project deliverables.
• Support laboratory activities, including equipment maintenance, procurement, and administrative tasks.

Job Requirements:

• Bachelor or Master’s degree in Electrical Engineering, with a specialization in Power Electronics and its applications to renewable energy and power systems.
• Extensive experience in embedded C/C++ programming for hard real-time systems, including implementation of control algorithms on DSPs and FPGAs.
• 3–4 years of hands-on experience in VHDL/Verilog programming for FPGA-based control and signal processing applications.
• Strong understanding of digital control theory, loop tuning methods, and stability analysis for dynamic systems.
• Hands-on experience with HIL platforms such as OPAL-RT, RT Box, or Typhoon HIL for validating control systems under realistic operating conditions.
• Strong analytical, documentation, and communication skills, with the ability to work independently and collaboratively in adynamic, cross-functional teams, and fast-paced research environment.

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-CTIC/32272-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Trusted Internet and Community (CTIC) at the National University of Singapore (NUS) invites applications for the position of Research Assistant (RA) under the CATOS project. The successful candidate will work closely with the research team on developing solutions to mitigate online harm. Interested candidates should have relevant background in MLLM and AI agents. The RA will assist in research design, implementation, experiments, and publications, contributing to advancing the state of the art in AI.

Responsibilities

• Conduct literature reviews and contribute to development of persona-adaptive intervention technology.
• Develop and implement persona-adaptive system and experimental pipelines (Python/PyTorch/GitHub/Linux, etc.)
• Support data collection, preprocessing, and analysis
• Collaborate with Professors, Research fellows, PhD students, and other research partners
• Assist in preparing research manuscripts, technical reports, and presentations
• Participate in project meetings and contribute to team discussions

Qualifications

• A minimum of a Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields (Master’s degree preferred)
• Strong background in machine learning, natural language processing is an advantage
• Proficiency in programming (Python, PyTorch/TensorFlow, and related ML libraries)
• Research experience in relevant AI areas will be highly valued
• Strong problem-solving ability, analytical thinking, and ability to work independently as well as in a team
• Good communication skills (both written and verbal) in English

Terms and Conditions

• The appointment will be for minimum one year
• Remuneration will be commensurate with qualifications and experience, following NUS guidelines