Total 152 test engineer job vacancies in Education / Training category

We are looking for a Research Engineer to join our MOE AcRF Tier 1 funded research project at the Singapore Institute of Technology. You will be part of an interdisciplinary team spanning accounting and NLP/AI, working to design, build, and validate a pipeline that detects inconsistencies and contradictions between firms' written financial filings (10-K/10-Q) and spoken earnings call transcripts. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of inconsistency scores. 

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Job Responsibilities

• Drive the technical execution of the research project under the guidance of the PI and Co-PI, ensuring project deliverables and timelines are met.
• Design and implement the retrieval-augmented NLI pipeline for inconsistency and contradiction detection across corporate disclosures (earnings call transcripts and SEC filings).
• Perform large-scale text preprocessing, cleaning, segmentation, and indexing of earnings call transcripts and financial filing corpora.
• Implement claims extraction modules using LLM-based approaches to identify key assertions from corporate disclosures.
• Build semantic retrieval mechanisms (e.g., Sentence-BERT embedding similarity search) for matching claim-context pairs across disclosure channels.
• Implement and evaluate contradiction detection models using NLI frameworks and LLM prompting techniques.
• Aggregate model outputs into firm-quarter level scores and prepare structured datasets for empirical analysis.
• Support human-in-the-loop validation by coordinating with student annotators and preparing annotation guidelines.
• Maintain reproducible research workflows using version control (Git) and systematic documentation of processes, code, and findings.

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Job Requirements

• Bachelor’s degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field.
• Strong programming skills in Python, with experience in relevant libraries such as HuggingFace Transformers, PyTorch/TensorFlow, and scikit-learn.
• Prior experience or coursework in natural language processing, machine learning, or information retrieval.
• Familiarity with version control tools (e.g., Git/GitHub) and collaborative development practices.
• Experience with financial data or financial text analysis will be advantageous.
• Familiarity with LLM APIs, prompt engineering, and retrieval-augmented generation (RAG) workflows will be advantageous.
• Good communication skills and ability to work both independently and collaboratively.

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-Engineer-%28Wearable-Technology%29/32303-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are inviting applications for a Research Assistant/ Research Engineer position to join our dynamic and interdisciplinary team working on the development of haptics technologies for advanced human–machine interaction. The successful candidate will need to support research activities at the interface of micro/nanofabrication, tactile interface design, and wearable or immersive systems. This role offers hands-on training and experience in building and testing integrated haptic platforms capable of delivering precise, high-fidelity tactile feedback for applications in areas such as healthcare, robotics, and virtual/augmented reality.

The selected individual is required to:
•    Assist in experimental research related to haptic systems, including tactile feedback mechanisms and human–machine interaction studies.
•    Support micro/nanofabrication and materials processing for the development of haptic devices (e.g., flexible actuators, sensors, and interfaces).
•    Provide help with device assembly, integration, testing, and performance evaluation of haptic platforms for precision tactile feedback.
•    Conduct characterization of haptic responses (e.g., force, vibration, displacement) and assist in troubleshooting issues related to signal fidelity, latency, and user perception.
•    Collect, organize, and analyze experimental data using standard analytical tools and software.
•    Work closely with postdoctoral fellows and interdisciplinary collaborators including engineers, designers, and clinicians where applicable.
•    Contribute to laboratory documentation, technical reports, and preparation of figures for publications and presentations.
•    Maintain laboratory equipment, consumables, and ensure good laboratory practices are followed.

Qualifications

•    Possess at least a Bachelor’s or Master’s degree in Biomedical Engineering, Chemistry, Materials Science, Electrical Engineering, Biotechnology, or a related field.
•    Has prior hands-on laboratory experience in electrochemistry, biosensors, or bioassays (through coursework, projects, or research experience).
•    Has basic knowledge of surface chemistry, biomolecular functionalization, or analytical techniques is preferred.
•    Strong organizational skills and ability to follow experimental protocols carefully.
•    Good written and spoken communication skills.
•    Strong willingness to work in a multidisciplinary research environment.
•    Open to fixed-term contract. 

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-Engineer-%28Advanced-Materials-Synthesis-and-Characterization%29/32306-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:
•    Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
•    Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
•    Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
•    Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
•    Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

•    Master’s degree in Materials Science, Chemistry, Physics, or a related field.
•    Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
•    Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
•    Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a Research Engineer to work on the NLP project The role will focus on researching the LLM effectiveness.

Key Responsibilities:

• Research and develop novel ML-based methodologies and algorithms for multilingual and multimodal LLMs.

• Working closely with other Postdoc/RA/PhD students to discuss the ideas and implement the system.

• The research should lead to publications in top-tier international conferences and journals

Job Requirements:

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

• Prior experience in NLP, and state-of-the-art ML techniques would be a plus;

• Good interpersonal communication and oral presentation skills;

• Experienced in working in a team, with people of diverse skillsets and cultural background

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

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

ANGEL is looking for a motivated Research Engineer to support intensive research efforts and the delivery of projects.

Key Responsibilities:

• Review the literature related to UAV communications and networking

• Develop new AI algorithms for UAV networking and management

• Implement and test the algorithms under realistic scenarios

• Evaluate performance of the proposed algorithms and compare the algorithms with benchmarks

• Publish the results in top-tier journals and conferences

Job Requirements:

• Bachelor’s degree in electrical or computer engineering or computer science

• Good publication record with papers accepted/published in top-tier journals and conferences

• Good research experience in AI and machine learning as well as wireless networking

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• Entry level candidates are welcome to apply

We regret that only shortlisted candidates will be notified.

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.

The primary responsibility of this role is to deliver on an academic research project funded by MPA, where you will be part of the research team under the project titled: HarbourCraftSafe: Fire Resilinet Battery Room Design for Next-Gen Electric Habour. The project is in collaboration with two local industry collaborators.

Under this job title, you will develop a CFD modelling platform to evaluate the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal runaway in the battery room and beyond, considering the various common battery chemistries in eHC and atmospheric conditions. You will also need to experimentally characterise the heat release rate (HRR), flammable and toxic gases emissions of various types of batteries potentially deployed in eHC through reduced scale testing. Lastly, you will also need to evaluate the various gas monitoring sensors performance in detecting the battery gas releases for remote monitoring and early detection, and evaluate the potential fire suppression strategies on battery fires.

Job Responsibilities: 

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.

• Undertake these responsibilities in the project:
• Assists in co-supervision of final year projects (FYP) or capstone projects students under the Project PI.
• Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the deliverables.
• Assists the PI in drafting of reports, conference proceedings and journal articles based on the outcome of the projects.
• Prepares and shares fortnightly report of results from the computations with the PI.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements:

• Master or Ph.D (preferred) in Mechanical Engineering, Marine and Offshore Engineering or related fields.
• Strong knowledge and experience in battery fire simulation is high advantageous.
• Hands on experience on experimental studies
• Familiarity with CFD applications working on industrial related projects using high performance computing clusters would also be advantageous
• Strong foundation in Fluid Dynamics
• Strong prior experience in CFD – particularly in battery fire combustion and spread.
• Strong skills in turbulence modelling, CFD mesh generation in complex 3D geometries.
• Proficient in handling large data sets and the ability to analysis and interpret results.
• Experience in commercial CFD package such as ANSYS package and FDS is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT and FDS, Meshing tool and post-processing software.
• Able to work independently with strong data analytical skills, communication and interpersonal skills.

Key Competencies:

• Proficient in Ansys Fluent or FDS Simulation
• Strong foundation in Fluid Dynamics
• Able to work independently with strong data analytical skills, communication and interpersonal skills.
• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

ANGEL is looking for a motivated Research Engineer to support intensive research efforts and the delivery of projects.

Key Responsibilities:

• Review the literature related to UAV communications and networking

• Develop new AI algorithms for UAV networking and management

• Implement and test the algorithms under realistic scenarios

• Evaluate performance of the proposed algorithms and compare the algorithms with benchmarks

• Publish the results in top-tier journals and conferences

Job Requirements:

• Bachelor’s degree in electrical or computer engineering or computer science

• Good publication record with papers accepted/published in top-tier journals and conferences

• Good research experience in AI and machine learning as well as wireless networking

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

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-Engineer-%28Catalyst-Development%29/32289-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The staff would support at least one project under the supervision of the Principal Investigator (PI). The scope of the project is on catalyst development for fuel conversion. The staff will need to develop a well-justified approach to achieve a goal once a problem statement and/or a research scope are defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically. The staff will need to report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge. The staff will need to draft manuscripts and attend conferences to publicise the project findings. The staff will need to support other team members.

Qualifications

A well-qualified candidate should:

• Possess a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;
• Be passionate about research;
• Be an expert of catalyst development;
• Possess strong spoken and written communication skills at professional level;
• Be a good team player;
• Excellent publication record in related areas.

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-Engineer-%28Catalyst-Development%29/32288-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The staff would support at least one project under the supervision of the Principal Investigator (PI). The scope of the project is on catalyst development for fuel conversion. The staff will need to develop a well-justified approach to achieve a goal once a problem statement and/or a research scope are defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically. The staff will need to report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge. The staff will need to draft manuscripts and attend conferences to publicise the project findings. The staff will need to support other team members.

Qualifications

A well-qualified candidate should:

• Possess a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;
• Be passionate about research;
• Be an expert of catalyst development;
• Possess strong spoken and written communication skills at professional level;
• Be a good team player;
• Excellent publication record in related areas.

We are seeking a Research Engineer to design, implement, and integrate Visual-Language Models (VLMs) into autonomous mobile robots platform. The role focuses on enabling high-level semantic reasoning, perception–language grounding, and decision-making in robotic systems. The engineer will interface VLMs with navigation, mapping, and control pipelines to support end-to-end system experimentation. Responsibilities include building simulation environments, conducting experimental evaluations, and supporting rapid prototyping. The role contributes to translating simulation-validated methods toward real-world robotic deployment and bridges robotics simulation, multimodal AI, and autonomous navigation research.

Key Responsibilities:

• Design, implement, and integrate Visual-Language Models (VLMs) into simulation and robotic platforms to enable semantic reasoning, perception–language grounding, and decision-making.

• Interface VLM-based modules with robot navigation, mapping, localization, planning, and control systems to support end-to-end autonomous operation.

• Build and maintain simulation environments, multimodal datasets, and evaluation frameworks, handling data volumes from tens to hundreds of gigabytes.

• Conduct experimental studies using GPU-enabled computing resources for model training, inference, and simulation-based evaluation.

• Support rapid prototyping and iteration of research ideas, from concept to validated robotic systems and demonstrations.

• Collaborate with and provide technical support to research staff and students across multiple projects.

• Contribute to research outputs, including publications, technical disclosures, patents, and autonomous robot demonstrations.

• Apply and recommend engineering best practices that promote reproducibility, maintainability, and research productivity.

Job Requirements:

• Bachelor’s degree (BEng/BSc) in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related discipline; candidates with strong robotics and autonomous system experience from other disciplines may be considered.

• Proficiency in Python, with experience in ROS/ ROS2 and Linux-based development environments.

• Familiarity with robotic simulation platforms and 3D modelling tools.

• Hands-on experience in autonomous robotics projects; exposure to deep learning or reinforcement learning is a plus.

• Strong problem-solving ability, collaborative and independent work style, willingness to learn new tools.

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-Engineer-%28AI-Empowered-Reasoning-of-Granular-System%29/32291-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are hiring a Research Engineer (RE) to develop a novel knowledge-driven AI method for understanding the interaction between solid and fluid interaction. The selected RE is required to:

•    Developing a novel knowledge-driven AI framework for implementing CFDDEM simulation.
•    Validating the proposed framework and applying it to granular materials related engineering such as geotechnical, and chemical engineering.

Job Requirements

•    Possess at least a bachelor’s degree. 
•    Demonstrate relevant research or professional background, aligned with the development of the topic. 
•    Relevant experience in multiple areas is highly desirable.
•    Exhibit proficiency in coupled CFD DEM modelling (C++) and AI-related algorithms (python).
•    Display strong teamwork capabilities.
•    Excellent written and spoken communication skills.
•    Open to fixed-term contract.
•    Please note that only shortlisted candidates will be contacted.

As a University of Applied Learning, the Singapore Institute of Technology (SIT) collaborates actively with industry in our research work. We seek a motivated candidate who is keen on rigorous research, the practical applications of code exfiltration and reverse engineering as well as security penetration testing. 

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of a research team to investigate and determine potentially critical Commercial Off-The-Shelf (COTS) drone system vulnerabilities impacting confidentiality, integrity and availability.

Key Responsibilities

• Participate in the research project with Principal Investigator (PI), Co-PIs and research team members to ensure all project deliverables are met.
• Undertake or help guide work and demonstrations in the following tasks:

1. Code exfiltration and binary reverse engineering.
2. Study, understand and analyse mobile platform applications.
3. Android app reverse engineering (Drone apps)
4. Static and Dynamic analysis(experience in tools like Frida, Burp, Wireshark)
5. Develop AI-assisted agents for automated firmware analysis and exploration
6. Build a controlled firmware-replica environment for evaluating protocol security
7. Design, develop and test control augmentation techniques.
8. Adaptation of developed techniques for more generic use.

• Perform project documentation and crafting of research papers.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

 Job Requirements

• A good degree in Computer Science / Engineering or higher.
• Proficiency with code exfiltration and reverse engineering.
• Proficiency with penetration testing techniques and tools.
• Proficiency with software scripting and development work on desktop and / or mobile platforms.

Key Competencies

• Self-directed learner who believes in continuous learning and development.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.
• Proficient in technical writing and presentation.
• Able to build and maintain good working relationships with people within and external to the university.

Job Description

Be part of an exciting FAB Operations Team working on cutting-edge process technologies.

Job Responsibilities:

• Looking for reliable individual - Operate multiple type of semiconductor equipment in cleanroom environment.
• Ability to use computer-based programs and applications to perform daily work/duties.
• Operate equipment based on the required process specifications (e.g. procedures, change notifications, etc.).
• Participate actively and be responsible in assigned on-the-job assignments and other required trainings when requested. Provide machine operations coverage and backup supports when necessary.
• Adequate understanding of the Equipment in-charge, monitor performance, timely communication with Engineers-in-charge to perform equipment errors recovery promptly when necessary.
• Demonstrate excellent teamwork to promptly execute process sequences and data collections if required.
• Always follow safety protocols & rules in the Clean Room.
• Ensure 6S in the work environment and promptly report hazards/ suspicious/ abnormal activities or personnel if any identified.
• Address potential areas for improvements such as wafers processing cycle time, Equipment utilization, Safety/ Compliances, and cost savings.

Job Requirements:

• Diploma/Degree in MicroElectronics/Electrical/Mechanical/Chemical Engineering or equivalent.
• Understanding on semiconductor process - at least 1-3 years of experience in semiconductor processes (Photolithography, Dry/Wet Etch/Cleans, ThinFilms, Diffusions, Chemical mechanical Polishings, Metrology etc.)
• Must be a self-starter, dependable and highly motivated.
  
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  EA Personnel: Dianna @ dianna@gmprecruit.com
  Registration No: R1327268
  D-Rec-00083
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COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Bachelor degree in Information Systems / Computer Science/ Information Technology / Security / Informatics Engineering / Computer Engineer / Software Engineering.
• Publication of at least a paper in top AI or software engineering or cybersecurity conferences/journals (CORE A*).
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverable i.e., at least a first-authored paper in CORE A or better conference / journal in the field of AI or software engineering.

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