Total 682 systems engineer job vacancies in Education / Training category in Malaysia

For a comprehensive list of responsibilities and duties, please kindly refer to the Job Description and Person Specification by downloading the JD and PS attachment in the advert.

Australian Institute for Bioengineering and Nanotechnology (AIBN)
Join a university ranked in the world?s top 50
Systems biology, metabolic modelling specialist required to work across AIBN
Belong to a vibrant community where your work genuinely makes an impact  
Based at our picturesque St Lucia Campus


About UQ

As part of the UQ community, you?ll have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary collaborations are encouraged.

At the core of our teaching remains our students, and their experience with us sets a foundation for success far beyond graduation. UQ has made a commitment to making education opportunities available for all Queenslanders, regardless of personal, financial, or geographical barriers.

As part of our commitment to excellence in research and professional practice in academic contexts, we are proud to provide our staff with access to world-class ... Click here to view more detail / apply for Postdoctoral Research Fellow ? Systems Biologist

The Role
We are seeking a Training and Systems Administrator to join our HSEQT team based in our Smithfield office.
The Training and Systems Administrator is responsible for the administration and optimisation of training systems and platforms to support the organisation's learning and development initiatives.
The ideal candidate will oversee administrative aspects of training delivery, including the implementation and maintenance of learning management systems (LMS), virtual training platforms, and other training-related software. You will collaborate with various stakeholders to troubleshoot technical issues and analyse system performance to enhance the effectiveness of training programs.
Local Monday to Friday role.
  Key Responsibilities:

Manage training system databases and records, supporting their development, implementation, and upkeep.
Implement and oversee document control, data management, and system processes to ensure record accuracy.
Administer access to various training software for seamless functionality.
Aid in implementing and
... Click here to view more detail / apply for Training and Systems Administrator

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Analog Electronics Engineer to join our team as a Research Engineer. The successful candidate will be responsible for designing, prototyping, and testing analog electronic circuits for our cutting-edge research projects. This role offers an exciting opportunity to contribute to groundbreaking research in flexible electronics.

Key Responsibilities:
• Design and develop analog electronic circuits for research projects.
• Collaborate with interdisciplinary team members to integrate analog electronics into larger systems.
• Conduct testing and validation of analog circuits to ensure performance and reliability.
• Document design processes, results, and findings for academic publication.
• Stay updated on emerging trends and technologies in flexible electronics and related fields.

Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, or related field.
• Strong background in analog circuit design, including amplifiers, filters, and signal conditioning circuits.
• Proficiency in circuit simulation and design tools (e.g., SPICE, Cadence).
• Experience with PCB design and layout.
• Knowledge of analog-to-digital and digital-to-analog conversion principles.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration abilities.

Preferred Qualifications:
• Experience with mixed-signal circuit design.
• Familiarity with biomedical signal processing or wearable electronics.
• Prior research experience in an academic or industrial setting.
• Additional expertise in wireless electronics design

Benefits:
• Competitive salary based on qualifications and experience.
• Opportunities for professional development and growth.
• Collaborative and innovative work environment.
• Access to state-of-the-art research facilities and resources.
• Potential for authorship on research publications and presentations.

How to Apply: Please submit your resume, cover letter, and any relevant portfolio or project work. In your cover letter, please highlight your relevant experience.

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Engineer I in Network Engineering to work on a project related to Smart Nation IoT-system Threat Analytics.

The role entails the responsibility of designing network architecture for IoT systems and honeynets, managing IoT systems and honeynets for threat analytics, and reporting related to IoT systems. The job also requires conducting research, preparing reports and publishing papers.

Key Responsibilities:

• Research and development on IoT threat detection and prioritization.
• Design of network architecture for IoT systems and honeynets.
• Management of IoT networks and honeynet for threat analytics.
• Conducting research, preparing reports and/or publishing papers.

Job Requirements:

• Bachelor’s degree in one of the following areas: computer science, computer engineering, information or communication science/engineering or any other relevant field.
• Familiarity with IP networks, honeynets, and network security.
• Knowledge or interest in cybersecurity, IoT, Linux, or virtualization clusters is a plus.

We regret that only shortlisted candidates will be notified.

Established in 1981, the School of Electrical and Electronic Engineering (EEE) is one of the three founding Schools of the Nanyang Technological University, Singapore. Built on a culture of excellence, the School is renowned for its high academic standards and extensive research activities. To support advanced research, the School hosts 13 research centres which are well-equipped with sophisticated and state-of-the-art equipment. Besides the 13 centres, there are more than 60 laboratories, supporting both the teaching and research activities in the School.

NTU EEE is now one of the top-ranked schools in the world, ranked 2nd globally by subject in the U.S. News and World Report Best Global Universities Rankings 2022 and 4th worldwide in the QS University Rankings by Subject 2022 (Electrical and
Electronic Engineering).

Join the School of Electrical and Electronic Engineering, College of Engineering, Nanyang Technological University, Singapore as a faculty member and embark on a challenging and exciting career in teaching and research excellence, so as to prepare engineering leaders of the future.

The School invites applications for two non-tenure-track Senior Lecturer/Lecturer positions in Computational Systems and Engineering.

Position Description
Applicants should have at least a Master’s degree in Electrical and Electronic Engineering, or Computer Science/Engineering, or a closely related discipline. Candidates who have a Bachelor’s degree and extensive industry or vocational experience may also be considered. A strong background and teaching experience in one or more of the following areas is required: Software Engineering, Computing and Programming (Python, C, Object-oriented Programming, and Assembly Language Programming), Microprocessor, Computer Architecture, Internet and Mobile Services and Applications, Database Systems, Web Applications, Wireless Communications, Computer Communication and Networking, Cyber-Physical Systems, Cyber Security, Internet of Things, AI and Machine learning, Pattern Recognition, Data Mining/Analytics and Natural Language Processing.

Fresh PhD graduates would be considered but preferences are given to candidates with relevant working/teaching experience in universities.

Responsibilities
The successful candidates are expected to teach courses in the fields of Computational Systems and Engineering at the undergraduate and postgraduate levels, and supervise undergraduate and postgraduate students.

Application
Applicants are invited to submit their applications (cover letter, CV, research and teaching statements, and citation report, where applicable) through the NTU career portal.

Review of applications and shortlisting of applicants will be carried out on an on-going basis until the positions are filled. Only shortlisted candidates will be notified.

Link to Apply: https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Non-tenure-track-Senior-Lecturer-Lecturer-Positions-in-Computational-Systems-and-Engineering_R00015823

Research Scientist (Power & Energy Systems Modelling)

We are looking for researchers who have a passion for power and energy systems and advancing the growth of sustainable energy. They will develop models and simulations of power and energy systems, analyse their resiliency and efficiency, and optimise their planning, operations, and deployment particularly to address problems relating to the renewable energy transition.

Successful candidates will work together with a multidisciplinary team of scientists and engineers to develop innovative solutions to support decisions around power system planning, energy economics, electricity markets and policy. The project will also involve collaborations with external organisations such as government planners and industry practitioners in order to move research and technical capabilities closer into real-world policy and planning practices.

Key requirements

• Ph.D in Electrical Engineering or Operations Research, or other related fields
• Proficient in programming in Python, and/or Java/C++
• Excellent written and verbal communication skills
• Ability to work individually as well as in a team in a fast-paced dynamic research environment

Preferred requirements and experience

• Candidate demonstrating a good understanding of the power systems economics, including distribution and transmission operator decision-making processes in different regulatory environments would be highly preferred.
• More than 5 years of experience
• Experience in power system analysis and optimisation, including and not limited to balanced and unbalanced power flow, OPF, economic dispatch, unit commitment.
• Experience in usage of optimization solvers - CPLEX, GUROBI, GLPK, etc.
• Experience in simulation with power systems modelling tools (PSS/E, PLEXOS, OpenDSS, GridLabD, PowerFactory).
• Experience in analysis tools or integrated assessment platforms or macro energy systems modelling tools (MARKAL/TIMES, OSeMOSYS, SESAME, etc).

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Research Scientist (Power & Energy Systems Modelling)

We are looking for researchers who have a passion for power and energy systems and advancing the growth of sustainable energy. They will develop models and simulations of power and energy systems, analyse their resiliency and efficiency, and optimise their planning, operations, and deployment particularly to address problems relating to the renewable energy transition.

Successful candidates will work together with a multidisciplinary team of scientists and engineers to develop innovative solutions to support decisions around power system planning, energy economics, electricity markets and policy. The project will also involve collaborations with external organisations such as government planners and industry practitioners in order to move research and technical capabilities closer into real-world policy and planning practices.

Key requirements

• Ph.D in Electrical Engineering or Operations Research, or other related fields
• Proficient in programming in Python, and/or Java/C++
• Excellent written and verbal communication skills
• Ability to work individually as well as in a team in a fast-paced dynamic research environment

Preferred requirements and experience

• Candidate demonstrating a good understanding of the power systems economics, including distribution and transmission operator decision-making processes in different regulatory environments would be highly preferred.
• Experience in power system analysis and optimisation, including and not limited to balanced and unbalanced power flow, OPF, economic dispatch, unit commitment.
• Experience in usage of optimization solvers - CPLEX, GUROBI, GLPK, etc.
• Experience in simulation with power systems modelling tools (PSS/E, PLEXOS, OpenDSS, GridLabD, PowerFactory).
• Experience in analysis tools or integrated assessment platforms or macro energy systems modelling tools (MARKAL/TIMES, OSeMOSYS, SESAME, etc).

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

This is a full-time position, 38 hour week, normally between 8.30 and 5.30 Monday - Friday
$75,000-$90,000 per annum plus Superannuation.

Exec Summary of Role:

As part of its manufacturing and research laboratory in Victoria, DiviGas is looking for a Membrane Research Engineer to support the ongoing research and development and product testing of its proprietary membrane technology. This position will support the technical team, and refine the product formulation and production methodology to prepare for commercialisation at full scale. The Membrane Research Engineer will support the Head of Research and Development and the CTO in the development of both new and existing products in various gas separation technology and adjunct technologies.

Under broad guidance, the Membrane Research Engineer will help plan, conduct, record, and when required, present scientific and engineering research and development work to a professional standard including but not limited to product formulation, composition, production methods, quality assurance, and performance testing. Working closely with members of the leadership team, the Membrane Research Engineer will have opportunities to contribute to new areas of research and take responsibilities for aspects of the company equipment and technical spaces to ensure ongoing compliance with health and safety regulations and with industry best practice on laboratory operations.

As a rapidly growing start-up, an ideal candidate for this role will be self-motivated, organised, and able to work in ambiguous and changeable situations. A strong sense of respect, integrity, and personal responsibilities are essential. Prior experience in a start-up or fast-paced work environment is an advantage, however, we are equally excited to welcome an enthusiastic newcomer.

Functions & Responsibilities:

Conduct fabrication, characterisation and testing and evaluation of polymeric membranes.
Operate and maintain analytical equipment for material characterisation or quality assurance.
Undertake supervised research to improve polymeric membrane materials, surface modifications, and coatings to meet defined performance requirements.
Show excellent attention to detail by consistently replicating experimental results and product formulations from written guidance.
Fully document experimental records and prepare detailed reports, accurate methods statements, and other technical documents to support product development and quality assurance.
Communicate effectively with internal and external stakeholders while maintaining business confidentiality.
Call out non-compliance of Occupational Health and Safety requirements.
Organise and prioritise tasks, support peer-to-peer learning and ask questions when needing further clarification.
Identify safety issues or inefficiencies, propose solutions and with support from management, implement change.
Use Microsoft Office/Google Suite software and learn new software as required.
Perform other duties as directed by the Head of R&D.

Qualifications & experience:

A master’s degree, or lesser qualification with relevant experience in chemical engineering, polymer engineering, or material sci
Specialist knowledge and experience in the production, modification, characterisation or use of hydrogen separation membranes and/or other gas separation membranes.
Familiarity with the current state-of-the-art of commercial-scale membrane systems and products for the separation of hydrogen.
Demonstratable understanding of internationally recognised chemical safety standards, material testing standards and quality assurance regulations.
The ability to draw insights from experimental data and published research.
Experience in the use or manufacture of chemicals in bulk or the operation of pilot-scale systems will be highly regarded.
Research experience, especially at the mid-high Technology Readiness Level, will be considered favourably.
Knowledge of morphology, rheology and other structure-property-function relationships of polymers and experience working with a range of thermosets, thermoplastics and polymer blends/composites would also be an advantage.
Knowledge of industrial hydrogen plants, refineries and emerging hydrogen technologies is an advantage.

General Requirements:

Good inter-department communications.
Highly motivated individuals with the ability to perform core duties well independently.
Appointments may vary and will be commensurate with the candidate’s years of working experience.

Other Requirements:

The Membrane Research Engineer is based in a laboratory work environment, in which the employee may be required to spend extended periods of time. Essential functions of the role are expected to include some heavy lifting (

Job Description:

Conduct cutting-edge research in the field of recommendation & search, natural language processing and deep learning.

Develop AI-enabled products and services with other groups in the company

Collaborate with world-class organizations in academia projects

Skills / Qualifications:

Possess Master degree or above in Computer Science, statistics, applied mathematics, or have equivalent research experiences

Demonstrate the ability to generate new ideas and innovate

Have 3 years of academic or industrial working experiences in recommendation & search, natural language processing, deep learning, machine learning, or related fields

Have strong programming skills, experienced in one or more programming languages including but not limited to: C/C++, Java, Python.

Next Step

Click “apply” or send resume to: Ryce Ryce.Fan@adecco.com

EA Licence No.91C2918| Personnel Registration No. R23117258

Job description
The candidate will be part of a team solving computational bioengineering problems. The responsibilities include but are not limited to:

• Research, develop and evaluate algorithms and implementations
• Work with team members to develop disease transmission models
• Brainstorming technical solutions

Job requirements

• Master or Bachelor degree in chemical engineering and bioengineering related fields
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in academic research
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. 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 Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is in search of candidate for a research engineer position to assist in Prototype Development.

Successful applicant will be responsible for conducting applied research, developing innovative technologies, and collaborating with interdisciplinary teams to solve technical problems and advance the organization's goals.

Candidate will design experiments, analyze data, and develop prototypes to validate new concepts and technologies.

Candidate will also contribute to scientific publications, patents, and grant proposals to communicate research findings and secure funding for future projects.

Responsibilities will involve:

1. Actively participate and lead optimization for additive manufacturing processes
2. Work closely with Research Fellow to meet project deliverables.
3. Perform cleanroom and wet processes in sample fabrication.
4. Characterize fabricated samples through the use of microscope, scanning electron microscope, etc.
5. Organize and track research activities, performed tasks, characterized in report form (Microsoft Word).
6. Identify, feedback, and address engineering challenges.
7. Assist in equipment purchase, commissioning, and ownership.

Qualifications

• A bachelor’s or higher degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• Candidate with experience in microelectronic research, characterisation, metrology, and electrical testing, and strong in data analysis will have advantage.
• Knowledge of thermal and thermomechanical modelling and analysis.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• Open to Fixed Term Contract.

Acknowledgement of Country


CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation




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CSIRO is committed to the safety and wellbeing of all children and young people involved in our activities and programs. View our  Child Safe Policy .




The opportunity


 

Apply your expertise in electrochemical sciences on industry-supported projects
Join a multi-disciplinary team focused on improving electrochemical technology for hydrogen applications
Grow your career with our supportive team at CSIRO Australias National Science Agency!

 
We are currently seeking a



... Click here to view more detail / apply for Electrochemist/Electrochemical Research Engineer

An internship position for a student with mechanical background to obtain training in prototype fabrication, overseeing project management and execution, assisting with operation of equipment, development of risk assessments, safe work procedures, method statements and technical documentation, troubleshooting the operations.

Intern’s duties include:

• To perform mechanical engineering activities to design, fabricate, develop and verify product characteristics prior to manufacturing in high volume, in a cost and time effective manner.

• To create technical specifications and collaborate with fabrication team to ensure the parts are meeting specification and function as intended.

• Resolve product quality issues arising from production or operation by working closely with team members.

• Support mechanical testing and create technical report.

Requirements for the intern:

• Pursuing Diploma from a Poly or Bachelor or Master’s degree from University in Mechanical Engineering in Singapore.

• Has hands-on experience with metal works (cutting, grinding, drilling, etc.).

• Proficient with MS Office.

• Strong verbal and written communication skills.

• Good analytical and problem-solving skills.

• Proficient in 3D CAD software.

• Able to follow Workplace Safety and Health regulations. Having safety training certificates is an advantage.

• Fit to wear dust mask/gas respirator.

Workplace location: Tuas

Established in 1981, the School of Electrical and Electronic Engineering (EEE) is one of the three founding Schools of the Nanyang Technological University, Singapore. Built on a culture of excellence, the School is renowned for its high academic standards and extensive research activities. To support advanced research, the School hosts 13 research centres which are well-equipped with sophisticated and state-of-the-art equipment. Besides the 13 centres, there are more than 60 laboratories, supporting both the teaching and research activities in the School.

NTU EEE is now one of the top-ranked schools in the world, ranked 2nd globally by subject in the U.S. News and World Report Best Global Universities Rankings 2022 and 4th worldwide in the QS University Rankings by Subject 2022 (Electrical and
Electronic Engineering).

Join the School of Electrical and Electronic Engineering, College of Engineering, Nanyang Technological University, Singapore as a faculty member and embark on a challenging and exciting career in teaching and research excellence, so as to prepare engineering leaders of the future.

The School invites applications for two non-tenure-track Senior Lecturer/Lecturer positions in Computational Systems and Engineering.

Position Description
Applicants should have at least a Master’s degree in Electrical and Electronic Engineering, or Computer Science/Engineering, or a closely related discipline. Candidates who have a Bachelor’s degree and extensive industry or vocational experience may also be considered. A strong background and teaching experience in one or more of the following areas is required: Software Engineering, Computing and Programming (Python, C, Object-oriented Programming, and Assembly Language Programming), Microprocessor, Computer Architecture, Internet and Mobile Services and Applications, Database Systems, Web Applications, Wireless Communications, Computer Communication and Networking, Cyber-Physical Systems, Cyber Security, Internet of Things, AI and Machine learning, Pattern Recognition, Data Mining/Analytics and Natural Language Processing.

Fresh PhD graduates would be considered but preferences are given to candidates with relevant working/teaching experience in universities.

Responsibilities
The successful candidates are expected to teach courses in the fields of Computational Systems and Engineering at the undergraduate and postgraduate levels, and supervise undergraduate and postgraduate students.

Application
Applicants are invited to submit their applications (cover letter, CV, research and teaching statements, and citation report, where applicable) through the NTU career portal.

Review of applications and shortlisting of applicants will be carried out on an on-going basis until the positions are filled. Only shortlisted candidates will be notified.

Link to Apply: https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Non-tenure-track-Senior-Lecturer-Lecturer-Positions-in-Computational-Systems-and-Engineering_R00015823