Total 268 computer security job vacancies in Education / Training category in Malaysia

Job Requirements:

• Candidates must have PhD / Master qualification in the respective subjects/disciplines – Application and System Development, Computer Vision, Computer Graphics, Data Mining, Big Data, Ethical Hacking, Network Security, Machine Learning, Computer Networking, Cryptography, Data Security, etc.
• Preferred area of study: Data Analytics, Artificial Intelligence, Cybersecurity, Application and System Development
• Candidates should have at least 1 or more years of teaching experience in the relevant disciplines
• Candidates should have a record of exceptional teaching, scholarship, and service, preferably with evidence of effective academic and administrative leadership
• A strong knowledge of the subject area combined with a broad subject background enabling contributions to teaching programmes
• Good interpersonal skills and demonstrated ability to work with students and staff from a diverse range of backgrounds
• Excellent command of spoken and written English
• Added advantage: strong written & spoken command in Mandarin.

Job Descriptions:

• Prepare teaching and learning materials in accordance with the course content and additional materials necessary for delivery and discussion.
• Perform relevant administrative tasks as and when required.
• Prepare and grade assessments as stipulated in each offered course.
• To counsel students pertaining to their academic and career.
• Conduct public seminars on contemporary issues when necessary.
• Take part in major public exhibitions, open days, and roadshows when required.
• To be actively involved in research.
• To perform any other duties as assigned by the faculty and management from time to time. 

Perks & Benefits

• Medical insurance
• Annual leave
• Trainind & development opportunities

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow.

Key Responsibilities:

• Develop new paradigms for intelligent human-computer interaction
• Design algorithms for dialogue systems
• Integrate commonsense knowledge representation and reasoning in the system

Job Requirements:

• Possess a PhD in Computer Science or related disciplines
• Strong proficiency in AI and machine learning algorithms
• Strong proficiency in writing scientific papers
• Good interpersonal skills
• Good teamwork awareness
• Good communication and writing in English
• Strong responsibility for research / work

We regret that only shortlisted candidates will be notified.

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow.

Key Responsibilities:

• Preprocess real brain imaging data for further analytical tasks;
• Perform literature review and background study on graph analytics for brain network analysis;
• Design novel and effective Data Mining & Machine Learning techniques (e.g., GNN-based models) for brain network analysis, develop/implement prototypes of the solutions, and validate their effectiveness empirically;
• Publish the research work in top-tier research venues.

Job Requirements:

• Possess PhD degree in Computer Science, or a related discipline with a focus on Machine Learning, Data Mining, or Statistics.
• Experiences in designing and developing graph analytics and/or brain network analysis technologies, in particular in GNN models.
• Good programming skills in e.g., Python, Matlab, C++, etc.
• Good interpersonal skills.
• Excellent teamwork awareness.
• Good communication and writing in English.
• Strong research experience will be a plus.

We regret that only shortlisted candidates will be notified.

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Assistant.

Key Responsibilities:

• Develop new paradigms for intelligent human-computer interaction
• Design algorithms for affective computing and sentiment analysis
• Integrate commonsense knowledge representation and reasoning in the system

Job Requirements:

• Possess a BEng in Computer Science or related disciplines
• Some proficiency in AI and machine learning algorithms
• Some proficiency in writing scientific papers
• Good interpersonal skills
• Good teamwork awareness
• Good communication and writing in English
• Strong responsibility for research / work

We regret that only shortlisted candidates will be notified.

The School of Computer Science and Engineering (SCSE) is seeking a dedicated Research Associate in Computer Science and Engineering with a focus on advancing the fields of diffusion models and machine generalization.

This role requires a passion for innovation, the ability to work effectively in a collaborative environment, and a commitment to contributing to groundbreaking discoveries in computer science and engineering.

Key Responsibilities:

• Collaborate closely with the Principal Investigator (PI) to design, implement, and analyze novel research projects.
• Conduct high-quality research, developing new algorithms and models, and publishing findings in top-tier conferences.
• Formulate the machine generalization problem in light of recent advancements in foundation models.
• Design algorithms that improve diffusion model generalizations.
• Collect or consolidate data to validate the designed algorithm.
• Communicate research outcomes through papers or presentations.

​

Job Requirements:

• Master's degree in computer science/engineering
• Experienced in PyTorch or Tensorflow
• Relevant publication regarding machine generalization or diffusion model is preferred.
• Proficient in programming languages and frameworks relevant to machine learning, specifically Python and PyTorch.
• Demonstrated publication record in top-tier conferences such as NeurIPS, ICML, CVPR, or similar.
• Proven experience in designing, implementing, and evaluating algorithms and models, particularly in diffusion models and machine generalization.
• Strong analytical and problem-solving skills, with a solid foundation in mathematics and statistics.
• Ability to work independently and collaboratively in a research environment, with excellent communication skills for presenting research findings.
• Strong background in machine learning, deep learning, or a related field, and exhibit a proven track record of research excellence and publication in reputable venues

We regret that only shortlisted candidates will be notified.

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow.

Key Responsibilities:

• Responsible for performing intelligent scent and multimedia processing
• Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research
• To perform the pioneer research in scent digitalization and computation.
• To further develop machine learning tasks for scent signal classification/fusion.
• Set up and analyze experiments under different conditions.
• To propose a methodology/framework in a software prototype to be developed in the project.
• To report research findings in a form of a report and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students.

Job Requirements:

• PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
• Have good technical reading, writing and programming skills.
• Have good track record for related R&D.
• High desire for technological exploration and achievement.
• Background knowledge in signal representation/processing, esp for scent signals.
• Prior research experience and track record in signal detection, machine learning and deep learning.
• Prior programming experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, Matlab…)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.

We regret that only shortlisted candidates will be notified.

The S-Lab for Advanced Intelligence is seeking a Research Fellow to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to "Towards Robust and Efficient Temporal Sentence Grounding in Videos."

Key Responsibilities:

• To independently undertake research in computer vision, NLP, and machine learning
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• A PhD in Computer Science/Engineering, AI or related areas.
• Strong background in machine learning and computer vision.
• Prior experience in multi-modality learning, multimedia retrieval is preferable.
• Strong publication records in top-tier machine learning or computer vision conferences/journals, such as TPAMI, CVPR, ICCV, ECCV, NeurIPS, ICML, ACL, and ICLR.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.
• Ability and willingness to work some flexible hours.
• Good command of English, both oral and written along with the ability to communicate effectively with a wide range of individual and professional groups.

We regret that only shortlisted candidates will be notified.

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow.

Key Responsibilities:

• To conduct independent research in deep learning.
• To produce publications in top conferences and journals.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

Job Requirements:

• A PhD in Computer Science or relevant fields.
• Strong background in deep learning and multi-modal learning.
• Strong publication record in top conferences/journals, such as CVPR, NeurIPS, AAAI, IJCAI, T-PAMI, IJCV, and etc.
• Experience in generative AI is preferred.
• Knowledge of programming skill with deep learning architectures, such as PyTorch, TensorFlow, etc.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects.

(“Research fellow” is similar to “post-doctoral researcher”, in the terminology of some other countries.) The appointee is expected to work closely with Associate Prof. YU Haifeng (http://www.comp.nus.edu.sg/~yuhf) on issues related to distributed systems security and distributed computing. A key goal of the research will be to produce high-impact academic publications in premier conferences (such as CCS and SP) and journals in the area. Please see http://www.comp.nus.edu.sg/~yuhf for some example prior publications from Associate Prof. YU Haifeng’s research group.

Qualifications

- At least a PhD degree from a good university

- Good publication record

- Fluent in written and spoken English

- Ability and dedication to do world-class research

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Associate.

Key Responsibilities:

• Research and develop novel ML-based methodologies and algorithms for multilingual and multimodal deep learning systems for NLP.
• 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:

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

We regret that only shortlisted candidates will be notified.

Cadent Gas Ltd
Be part of something big! Help shape the future of gas for generations to come. At Cadent we’re excited to be part of the future of UK energy! We’ve got a clear roadmap that will drive our performance to the forefront of our industry and support the UK government in achieving its net zero targets by 2050.

We’re making a difference through innovation and new ways of working. Together we’re shaping a cleaner, greener future for our 11 million customers whom we put at the heart of everything we do.

As a Release Train Engineer, you will deliver and take ownership of a specialist service and combine key knowledge whilst acting responsibly communicating early. You will promote a positive safety culture through visible proactive, consistent and influential behaviours and use your expertise to help direct strategy based on detailed strategy.
What you'll get to work on
- Problem Solving: Identify and address potential roadblocks, risks, and dependencies across teams. Work proactively to resolve conflicts and facilitate timely decision-making to keep the release train on track.
- Stakeholder Communication: Working closely with Product Management, provide regular updates on the release train's status, risks, and achievements. Foster strong relationships and effective communication channels with business leaders, development teams, and other relevant parties.
- Alignment with Company Strategy: Ensure that the development efforts within the release train align with the broader organizational goals and strategic initiatives.
- Agile Leadership: Provide servant leadership to Agile teams within the release train, guiding them in adopting and implementing Agile principles, values, and practices effectively.
Release Planning and Execution: Lead the release planning process by collaborating with Product Owners, Product Managers, and other stakeholders to establish release goals, scope, and schedules. Coordinate and manage the execution of the release plan, ensuring alignment with business objectives.
- Facilitation: Organize and facilitate key Agile ceremonies, including Program Increment (PI) Planning, Scrum of Scrums, Inspect and Adapt workshops, and more. Foster collaboration, communication, and transparency among cross-functional teams.
- Optimising the Flow of Value: within your ART.
- Metrics and Reporting: Collect, analyse, and report key metrics related to the release train's progress, velocity, and performance. Use data-driven insights to continuously improve the Agile processes and outcomes.
- Finances: supporting the financial monetary budgets by tracking and flagging any derailment to committed deliverables within your ART.
- Continuous Improvement: Drive the adoption of Agile best practices and continuous improvement principles. Collaborate with teams to refine processes, optimize workflows, and enhance overall efficiency.
- Coaching and Mentoring: Coach and mentor Agile teams, Scrum Masters, and Product Owners on Agile principles and practices. Foster a culture of learning, collaboration, and continuous improvement.


Who we are looking for

- Degree qualifications or the equivalent demonstrable experience in similar or related disciplines
- Proven experience as a Release Train Engineer or in a similar Agile leadership role, preferably within a software development environment.
- Strong understanding of Agile methodologies, particularly SAFe (Scaled Agile Framework).
- Excellent facilitation, communication, and interpersonal skills.
- Ability to lead and influence cross-functional teams without direct authority.
- Proficiency in Agile tools and software development lifecycle management platforms.
- Problem-solving mindset with the ability to navigate complex challenges.
- Certifications such as SAFe Release Train Engineer (RTE), Certified Scrum Master (CSM), or similar Agile certifications are desirable.
- Strong organizational skills and attention to detail.
- Ability to adapt to changing priorities and thrive in a dynamic, fast-paced environment
- Cyber security (IT/OT/Physical) experience, qualifications and awareness of security frameworks and regulations desirable.
- Experience of large solution/scale delivery would be advantageous.


Why Join Us
We offer a host of benefits to suit your lifestyle and support your well-being. These include:

- 25 days’ holiday, plus 8 statutory days and an option to buy or sell holiday days
- An Annual Performance Bonus of up to 15% of your salary
- A generous pension scheme where the company double matches your contributions up to 12% i.e. if you contribute 6% a month, the company will contribute 12%
- A competitive salary that’s reviewed each year against the market median salary for your role, skills, knowledge and experience
- MyChoices benefits like bicycles, salary sacrifice cars and healthcare that you can pick and choose from. You could get a better deal than you would on the high street and make tax and National Insurance savings
- A free Employee Assistance Line where you can get support and advice on any of the challenges you’re facing, completely confidentially
- Support to help you cover the cost of professional membership subscriptions, course fees, books, examination fees and time off for study leave – so long as it’s relevant to your role
- A Matched Giving scheme where the Company will match any funds raised by permanent employees for registered charities up to £400 each year
- Private Medical Insurance for you, your partner and your family available through MyChoices, our flexible benefits programme, with access to a 24 hour Bupa HealthLine
- The chance to say “thank you” to one another when you’ve done a good job through our Cadent Congratulates Scheme
- Plus many more benefits that help you join the dots between your work and home life!

We want our employees to achieve a healthy work-life balance and are happy to discuss flexible working options with you if the role can accommodate it. Let us know about your flexibility requirements, whether that be reduced hours, remote working, flexible start/finish times, or compressed hours, and we will be more than happy to explore what’s possible for the role.

Diversity and Inclusion
Don’t meet every single requirement listed?

Understanding, learning, and celebrating what makes us different, as well as what we have in common, is good for us as individuals and enables us to work better together as one team. Cadent is committed to being an equitable and diverse employer that fosters an inclusive culture for all our employees, therefore, all our employment decisions are assessed based on qualifications, merit, and business need. So, if you’re excited about this opportunity but your experience doesn’t align perfectly with every qualification mentioned, we would still love for you to submit your application – You may just be the right person for this role or other opportunities at Cadent.

As a recognised Disability Confident Employer, we are proud to champion inclusion in the workplace and ensure to provide an environment that is accessible to all and supports individuals throughout their journey with Cadent. Please let us know if you require any reasonable adjustments during the application process.

We place great importance on equity, diversity and inclusion, and we welcome applicants from all backgrounds. Our employee communities Women in Cadent, Pride at Work (LGBTQ+), Embrace (ethnicity and religion), Thrive! (disability) and the Cadent Military Community can’t wait to welcome you!

Circle Back Initiative
As an active and proud member of The Circle Back Initiative, we aim to ensure that all candidates receive a response to their application, regardless of the outcome.

We will be receiving applications until the specified date above, though Cadent retains the right to close this vacancy early without prior notification, so it is advisable to complete your application at your earliest convenience.

Be part of something big. Help shape the future of gas for generations to come.

What’s next?
To be considered for this role, please submit your application with an up-to-date CV and our Talent Acquisition team will get in touch soon.
To learn more about Cadent and what we do, visit our website at Home | Cadent (cadentgas.com)

Proud member of the Disability Confident employer scheme

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Associate.

Access to data is crucial for AI-empowered businesses. However, in an age of heightened user privacy awareness, access to data is not easy. The TrustFUL research program aims to bridge this gap by developing new a trustworthy federated learning paradigm characterized by fairness, transparency, accountability, robustness, security and privacy-protection.

Key Responsibilities:

• Conduct research and development work on federated learning, especially focusing on the aspect of quantum federated learning, under the project TrustFUL – Trustworthy Federated Ubiquitous Learning.
• Conduct independent research in the field of federated learning, focusing on quantum federated learning.
• Help supervise students.
• Help with federated learning technical platform design and development.
• Help with collaboration with existing industry partners.

Job Requirements:

• Master’s degree in Computer Science/Engineering, Electrical/Electronic Engineering, Mathematics or other related disciplines from a reputable university.
• Good publication track record is a must.
• Previous research experience in quantum computing preferred.
• Previous research experience in the field of federated learning will be advantageous.

We regret that only shortlisted candidates will be notified.

The S-Lab for Advanced Intelligence is seeking a Research Fellow to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• To independently undertake research in computer vision and deep learning.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• A PhD in Computer Science
• Strong background in machine learning, deep learning and computer vision.
• Prior experience in generative models is preferable.
• Strong publication records in top-tier machine learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR.
• Knowledge of scientific or engineering software like PyTorch.
• Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field).
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.
• Ability and willingness to work some flexible hours.
• Good command of English, both oral and written along with the ability to communicate effectively with a wide range of individual and professional groups.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow who will be responsible working on a project on security protocols for enterprise networks.

Responsibilities:
• Design and develop techniques for detecting attacks and misconfiguration errors on computer networks
• Perform analysis and simulations to validate designs
• Implementation and development of demos
• Assists with the editing and preparation of manuscripts, reports and presentations
• Participate in presentations and demos for exhibiting work at appropriate events

Qualifications

• PhD in Electrical Engineering, Computer Science or a related field
• Proven research background in cyber-security with a strong publication record
• Programming experience and knowledge of AI/ML would be a plus
• Possesses research background with ability to read and understand methodologies in research papers
• A good team-player
• Open to Fixed Term Contract

The S-Lab for Advanced Intelligence is seeking a Research Fellow to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to Combining End-Point and Exploration Safety via Higher Distributional RL Adaptation.

Key Responsibilities:

• To independently undertake research in machine learning.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• A PhD in Computer Science or relevant fields;
• Strong background in machine learning, deep learning and computer vision. Prior experience in 3D vision is preferable.
• Strong publication records in top-tier machine learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field).
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.

We regret that only shortlisted candidates will be notified.