Total 23 Software Engineer job vacancies in Education / Training category in Malaysia

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

• Develop and maintain web applications using Python, HTML, and ReactJS.
• Design and implement front-end interfaces using modern JavaScript frameworks.
• Collaborate with the design team to create user-friendly and visually appealing interfaces.
• Write clean, maintainable, and efficient code following best practices.
• Perform code reviews to ensure code quality and adherence to coding standards.
• Troubleshoot and debug issues across the entire stack.
• Optimize applications for maximum speed and scalability.
• Stay updated on emerging technologies and trends in web development.
• Work closely with cross-functional teams to gather requirements and translate them into technical solutions.
• Participate in sprint planning, daily stand-ups, and other agile ceremonies.

Qualifications

• Masters's degree in Computer Science, Engineering, or related field.
• Proven experience as a Full Stack Developer or similar role.
• Proficiency in Python, HTML, CSS, JavaScript, and ReactJS.
• Strong understanding of web development concepts such as RESTful APIs, MVC architecture, and responsive design.
• Experience with version control systems such as Git.
• Familiarity with database systems such as SQL and NoSQL.
• Excellent problem-solving and analytical skills.
• Ability to work independently and in a team environment.
• Strong communication and interpersonal skills.
• Attention to detail and a passion for writing clean, well-organized code.

Preferred Qualifications

• Experience with other front-end frameworks such as Angular or Vue.js.
• Knowledge of server-side technologiesP such as Flask or Django.
• Experience with cloud platforms such as AWS or Azure.
• Understanding of DevOps principles and CI/CD pipelines.
• Familiarity with Agile methodologies such as Scrum or Kanban.

Join us in building innovative and cutting-edge web applications that make a difference. If you're passionate about technology and enjoy working in a collaborative environment, we'd love to hear from you.

Apply now and take the next step in your career as a Full Stack Developer!

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.

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




Child safety


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

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 Solar Energy Research Institute of Singapore (SERIS) is looking for suitable candidate(s) to fill in Research Engineer position(s).

• The applicant will coordinate and/or attend site inspections related to Solar PV installation works and prepare a periodic report of findings for submission to Client.
• The applicant will assist in the Testing and Commissioning activities for Solar PV installations.
• The applicant will act as SERIS technical representative between Client and their appointed Solar PV Contractor. Attend and participate in meetings when required.
• Define the client specification into either a departmental action or subcontractor order. Produce deliverables on-time to client’s requirements, clarifying these requirements where necessary.
• Help manage and track the teams’ equipment and tools to ensure task carry out are to the required quality and standard. Liaise with suppliers when necessary.
• The applicant will assist in Lender’s Technical Advisory and assist in Owner’s Engineering projects, both of which include client interfacing, documentary and contract reviews, compliance check, site inspections and supervision on behalf of clients, and report writing.
• The applicant will have project management and leadership responsibilities.
• The applicant will assist in other group activities where required by the direct supervisor and group head.

Requirements

• At least a Diploma in Engineering (Civil, Mechanical or Electrical)
• Bachelor’s degree in Engineering is preferred, though proven working experiences in coordinating and/or managing Solar PV installation can offset this.
• At least 3 years’ experience in coordinating and/or supervising Solar PV installation or at least 2 years’ experience in a project management role in the PV, consultancy, or construction industry.
• Knowledge of PV systems O&M will be advantage. Internship in related field highly desired.
• Experience in other forms of electrical engineering works will also be considered.
• Comfortable to work in an outdoor and rooftop environment. Having “Work at Height” certification or equivalent is an advantage.
• Demonstrates initiative on moderate problem solving within assigned tasks.
• A dynamic team-player with a positive effect on the mood in an on-site group setting.
• Resilient, optimistic and open to change. Shows moral courage, openness and honesty in all dealings
• Proficient with Microsoft Office, especially Excel skills and able to analyses data or related a programming language.

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

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

To apply principles of soft robotics in designing a wearable pneumatic sensing system for detecting myographic and kinematic information during dynamic tasks.

Qualifications

• Possess at least a Bachelor degree (Engineering related)
• Familiar with soft sensor fabrication, pneumatic control setup, wearable development & conduct of human subject trials.
• Open to fixed-term contract

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

The laboratory of Christiane Ruedl at the School of Biological Sciences is seeking a Research Engineer II to contribute to a project focused on the characterization of endosomal membrane dynamics.

Key Responsibilities:

• Perform experiments, document results, analyze data, and carry out an independent research project.
• Assist in purchasing equipment, materials, and consumables, and provide general support for the lab.
• Keep a log of lab materials as necessary (e.g. yeast cell strains, plasmid DNAs, proteins, and other essential reagents).

Job Requirements:

• Bachelor’s or Master’s degree in cell biology, biochemistry, or a related field.
• Minimum of 4 years of prior research experience or laboratory training.
• Prior knowledge in yeast genetics, biochemistry, and cell biology is preferred.
• Experience in yeast cell biology, protein purification, molecular biology, biochemistry, or light microscopy will be addition an advantage.
• Strong written and verbal communication skills in English is essential for data analysis.

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

We regret that only shortlisted candidates will be notified.

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

• Developing novel deep learning assisted generalizable algorithm for solving combinatorial optimization
• Implementing traditional optimization algorithms
• Collecting real-world dataset and testing the above algorithms for benchmarking
• Writing paper for publication.

QUALIFICATIONS

• Minimum Bachelor's/Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum one year of relevant research experience in deep learning or operations research
• Proficiency in programming languages such as Python is required
• Demonstrated experience and know-how on solving combinatorial optimization problem
• Experience with at least one programming tools, such as Pytorch or Tensorflow is preferred
• Excellent working knowledge of deep learning or operations research (OR)
• Good analytical, technical and problem solving skills
• Applicants with strong publications in AI or OR area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

OTHER INFORMATION

#LI-JN2

Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to ensure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

- Looking for a reliable, agile, and professional individual.

- Able to understand, look ahead, plans the production schedules etc, and provide day to day supports in materials / spare parts procurement, inventory and logistics management to ensure smooth Fab operations.

- Initiate, lead and provide day to day supports in all logistics needs and initiate material/spare parts procurements when required to ensure smooth Fab operations.

- Follow through all the orders initiated from the start of purchase till delivery. Ensure the orders are delivered are on time.

- Accountable for the inventories required to enable smooth FAB cleanroom operations.

- Work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.

- Employ critical thinking and put-up good initiatives to move forward towards systematic inventory digitalization.

- Ability to work in a multi-task environment.

Experience:

- Education: Diploma/Degree in engineering or supply chain discipline.

- Process strong customer service mind-set with excellent interpersonal and communication skills.

- Preferably some knowledge of supply chain analytics, experiences in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.

- Fresh graduate can be considered as well.

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 Research Engineer will work closely with the Principal Investigator (PI) to design and build desirable microstructure to enhance mechanical properties of steels by additive manufacturing.

The job scope of this position is:

• Conducting literature reviews and understanding state of the art
• Planning and implementing experiments
• Developing simulation models to guide microstructural engineering
• Analysing the experimental and simulation data
• Writing progress reports and research papers

Qualifications

• Bachelors in Materials Science or Mechanical Engineering
• Knowledge of metallurgy and microstructural engineering is highly required
• Expertise in microstructural characterisation techniques (e.g. TEM, EBSD and FIB) and mechanical testing
• Expertise in numerical simulations (e.g. phase field, FEM)
• Experience with metal additive manufacturing (e.g. powder bed fusion, directed energy deposition) will be advantageous
• Good publication record will be advantageous
• Self-motivated, good team player

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to ensure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

- Looking for a reliable, agile, and professional individual.

- Able to understand, look ahead, plans the production schedules etc, and provide day to day supports in materials / spare parts procurement, inventory and logistics management to ensure smooth Fab operations.

- Initiate, lead and provide day to day supports in all logistics needs and initiate material/spare parts procurements when required to ensure smooth Fab operations.

- Follow through all the orders initiated from the start of purchase till delivery. Ensure the orders are delivered are on time.

- Accountable for the inventories required to enable smooth FAB cleanroom operations.

- Work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.

- Employ critical thinking and put-up good initiatives to move forward towards systematic inventory digitalization.

- Ability to work in a multi-task environment.

Experience:

- Education: Diploma/Degree in engineering or supply chain discipline.

- Process strong customer service mind-set with excellent interpersonal and communication skills.

- Preferably some knowledge of supply chain analytics, experiences in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.

- Fresh graduate can be considered as well.

Are you fascinated by the intersection of artificial intelligence and space exploration? Do you dream of developing intelligent systems that can navigate autonomously through the vastness of space? If so, we have an exhilarating opportunity for you to join our team as a Reinforcement Learning Engineer and play a pivotal role in training satellites to become intelligent, autonomous agents in orbit.

Role Overview

As a Reinforcement Learning Engineer at our spacecraft company, you will spearhead the development of advanced algorithms and models to enable satellites to navigate autonomously and intelligently in space. You will leverage state-of-the-art reinforcement learning techniques to train satellites to perform complex tasks, such as pointing to ground stations, adjusting their orbits, and optimizing their trajectories, all while maximizing mission objectives and efficiency.

Key Responsibilities

• Use already available ML frameworks to implement reinforcement learning algorithms and architectures tailored to the unique challenges of autonomous satellite navigation.
• Develop physics-rich simulation environments (with Earth, moon, satellites, etc) using tools such as Unity3D to model satellite dynamics, orbital maneuvres, and environmental factors.
• Utilize Python, C++, and other relevant programming languages to implement and optimize reinforcement learning models for real-time satellite control.
• Collaborate closely with satellite engineers to integrate learning-based navigation systems into satellite hardware and onboard software.
• Conduct extensive experimentation and evaluation to validate the performance, robustness, and safety of autonomous navigation algorithms in simulated and real-world environments.
• Stay abreast of the latest advancements in reinforcement learning, machine learning, and space technology to drive innovation and push the boundaries of autonomous satellite navigation.

Qualifications:

• Some experience with machine learning. Having used Unity's ML-agents or similar would be a plus.
• Proficiency in programming languages such as Python, C++, and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with simulation environments such as Unity or similar tools for modeling environments.
• Passion for space exploration and a desire to push the boundaries of what's possible with autonomous satellite technology.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on groundbreaking projects at the forefront of space exploration.
• Collaborative and humane work environment where you can learn and grow
• Access to cutting-edge tools and technologies to support your research and development efforts.

If you're ready to revolutionize satellite navigation and shape the future of space exploration with your expertise in reinforcement learning and artificial intelligence, we invite you to apply for this exciting role. Join us on our mission to unlock the full potential of autonomous satellite systems and pave the way for a new era of space exploration. Apply now and embark on a journey to transform science fiction into reality!

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

• Developing novel deep learning assisted algorithm for solving large-scale combinatorial optimization
• Implementing traditional optimization algorithms
• Collecting real-world dataset and testing the above algorithms for benchmarking.
• Writing paper for publication

QUALIFICATIONS

• Minimum Bachelor's/Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum one year of relevant research experience in deep learning or operations research
• Proficiency in programming languages such as Python is required
• Demonstrated experience and know-how on solving large-scale combinatorial optimization problem
• Experience with at least one programming tools, such as Pytorch or Tensorflow is preferred
• Excellent working knowledge of deep learning or operations research (OR)
• Good analytical, technical and problem solving skills
• Applicants with strong publications in AI or OR area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

OTHER INFORMATION

#LI-JN2

Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University

As part of IME’s Photonics & Sensors Department, the candidate will take lead of the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices at high RF frequencies, as well as the testing of electro-optical sub-modules and sub-systems. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices from frequency range of 0 to 110 GHz
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Manage photonics laboratory including facilities, health and safety, equipment calibration, inventory and stocktake
• Take the lead to procure laboratory equipment and consumables
• Prepare technical presentations and papers for internal meetings, as well as conferences and journals
• Collaborate with project team to ensure quality and on-time delivery for various projects
• Performs other duties as assigned.

Qualifications:

• Bachelor’s or master’s degree in Physics, Electronic/Electrical Engineering, Photonics, Opto-electronics or equivalent
• More than 3 years hands-on experience in active photonics/optoelectronic device testing, especially for high-speed optical modulator and photodetector devices and electronic-photonic integrated circuit.
• More than 3 years hands-on experiences in optical setup construction and semiconductor & optoelectronic device characterization
• Experienced on experimental data acquisition and analysis
• Skillsets in programming or instrument automation is a plus
• Strong skills in problem-solving, communication and providing technical presentations
• Industry experience and awareness is a plus

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.

As part of IME’s Photonics & Sensors Department, the candidate will take lead of the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices at high RF frequencies, as well as the testing of electro-optical sub-modules and sub-systems. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices from frequency range of 0 to 110 GHz
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Manage photonics laboratory including facilities, health and safety, equipment calibration, inventory and stocktake
• Take the lead to procure laboratory equipment and consumables
• Prepare technical presentations and papers for internal meetings, as well as conferences and journals
• Collaborate with project team to ensure quality and on-time delivery for various projects
• Performs other duties as assigned.

Qualifications:

• Bachelor’s or master’s degree in Physics, Electronic/Electrical Engineering, Photonics, Opto-electronics or equivalent
• More than 5 years hands-on experience in active photonics/optoelectronic device testing, especially for high-speed optical modulator and photodetector devices and electronic-photonic integrated circuit.
• More than 5 years hands-on experiences in optical setup construction and semiconductor & optoelectronic device characterization
• Experienced on experimental data acquisition and analysis
• Skillsets in programming or instrument automation is a plus
• Strong skills in problem-solving, communication and providing technical presentations
• Industry experience and awareness is a plus

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.