Total 587 construction engineer job vacancies in Education / Training category in Singapore

Job Responsibilities

-Work with project PI to develop robust catalysts (3 or more) that convert low-quality used cooking oil to sustainable aviation fuel

-Assist in synthesis and formulation of the catalyst, and testing of the catalyst in hydroprocessing using pressurized H2 in small scale Parr reactors.

-Assist in experimental design and optimize parameters required for the lab-scale to large-scale reactions (>500g) for synthesis of the catalysts using solution and/or solid-state methodologies

-Assist in experimental design and optimize parameters required for the lab-scale to large-scale hydroprocess reactions in large-scale 1L Parr reactors.

-Perform scale-up the pre-treatment process, several litres per batch, using large-scale equipment such as the liquid-liquid extractor unit

-Characterization of the catalyst candidates using

-Presentation at regular project meetings and summarize results in reports

Job requirements:

-A degree in Chemical Engineering, Materials Engineering or Chemistry

-At least 5 years of experience

-Knowledge in synthesis and characterization of compounds (powders)

-Knowledge in use of characterization equipment such as PXRD, SEMEDX, XRF, TEM, DLS etc.

-Proactive, team player and good problem-solving skills

-Data analysis and interpretation skills

-Excellent oral/written communication

-Experience in scaled up reactions (>5 L) is preferred

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.

Job Responsibilities

-Work with project PI to develop robust catalysts (3 or more) that convert low-quality used cooking oil to sustainable aviation fuel

-Assist in synthesis and formulation of the catalyst, and testing of the catalyst in hydroprocessing using pressurized H2 in small scale Parr reactors.

-Assist in experimental design and optimize parameters required for the lab-scale to large-scale reactions (>500g) for synthesis of the catalysts using solution and/or solid-state methodologies

-Assist in experimental design and optimize parameters required for the lab-scale to large-scale hydroprocess reactions in large-scale 1L Parr reactors.

-Perform scale-up the pre-treatment process, several litres per batch, using large-scale equipment such as the liquid-liquid extractor unit

-Characterization of the catalyst candidates using

-Presentation at regular project meetings and summarize results in reports

Job requirements:

-A degree in Chemical Engineering, Materials Engineering or Chemistry

-At least 2 years of experience

-Knowledge in synthesis and characterization of compounds (powders)

-Knowledge in use of characterization equipment such as PXRD, SEMEDX, XRF, TEM, DLS etc.

-Proactive, team player and good problem-solving skills

-Data analysis and interpretation skills

-Excellent oral/written communication

-Experience in scaled up reactions (>5 L) is preferred

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.

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation

1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer)

• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Resilient Value Chain (RVC) division of SIMTech A*STAR is searching for an Enterprise Software Developer to work on research and development of technologies for effective management of logistics and end-to-end order fulfillment, towards responsive and resilient value chain.

Responsibilities:

The key roles & responsibilities are as follows:

• Analyze software requirements to determine feasibility of design within time and costs constraints
• Develop generic and configurable software (e.g. generic and configurable web application, native/hybrid mobile application) and design database
• Implement AI/machine learning algorithm/models in software solutions for logistics planning and order fulfillment applications
• Use scientific analysis and mathematical models to predict and measure outcome and consequences of design, and optimize the enterprise software system performance
• System integration, debugging, testing and deployment
• Customer technical support and troubleshooting.

Job Requirements:

Bachelor or Master Degree in Computer Science/Engineering, Operations Research/management or relevant disciplines.

Experience with the following will be an advantage:

• Development of software solutions for enterprise decision support/making, especially logistics related applications
• Mobile applications development for Android or IOS applications
• Web application development with .Net
• Design Patterns, Microservice architecture, container technology and MVC.
• Programming with python, C#, Java, Java Script or other related language.
• RESTful APIs and relational databases
• Angular and Kendo UI, HTML programming
• Excellent verbal and written communication skill
• Good work ethics, good communication and interpersonal skill, willing to learn new programming skills
• Can do attitude and happy to interface with multiple parties.
• Good communication skills – both written and verbal

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

In this position, you will be working on end-to-end data pipeline implementation from understanding research objectives, collecting data using cameras and wearable sensor technology, exploring methods of data analysis, cleaning and pre-processing of raw data, modelling data using Machine Learning/Deep Learning techniques, and sharing of insights to stakeholders using visualizations.

Our research aims to understand passengers’ sitting behaviours and preferences on a flight so as to improve their in-flight experience. Your key role includes gathering data from sensors in a cabin simulator, leveraging on predictive modelling, and providing meaningful insights. In your day-to-day, you will be working closely with engineers, design researchers, and the project manager.

Requirements

• Bachelor's or Master’s degree (preferred) in Data Science, Computer Science, Engineering, and Mathematics, Statistics or any related field
• Applied experience with statistical modelling (hypothesis testing), machine learning (supervised and unsupervised learning techniques) and modern deep learning architectures (CNNs, LSTMs).
• Experience with at least one programming language (with a preference for those commonly used in machine learning or scientific computing such as Python)
• Proficient in digital signal processing and data analysis
• Familiar with embedded coding and iOS/Android app development using Kotlin, Java, XML
• Experience exploring, analysing, and visualising data.
• Hands-on experience using PyTorch, TensorFlow, Pandas, NumPy, Sklearn, or similar machine learning/scientific libraries.
• Proficient in handling complex requirements and turn into computation logic.
• Candidate should like reading documentation and research papers.
• Able to communicate and relay Data Science solutions adequately to business stakeholders.
• Candidate should be comfortable working on multiple projects and be in a dynamic environment.
• Candidate should be able to work independently as well as be a team player.
• Candidate is required to conduct research studies.
• Must be willing and able to conduct research studies on weekends.

Responsibilities

• The candidate will be required to perform electrical testing, test data analysis & automation across SiC power and RF/mmWave GaN devices.
• The candidate hands-on characterization work will encompass from low voltage I-V/C-V to high voltage breakdown, switching performances for SiC, and DC & high-frequency characterizations for RF/mmWave regime.
• The candidate must have hands-on experienced in handling Keysight 4156C and B1500A/Keithley K4200 Device Analyzer, B1505A High Power Device Analyzer with N1265A UHC Fixture and Keysight 4284A/4285A and E4908A LCR Meter independently on their own.
• It will be a plus if the candidate has knowledge of instrumentation control using LabView and some other software like Python, C++ etc .
• The candidate is required to have at least some basic semi-conductor knowledges of semi-conductor devices like P-N Junction, Diodes, CMOS etc.
• The candidate can be exposed to process and device design/simulation with commercial TCAD tools (e.g. Silvaco Victory Process and Victory Device, Sentaurus Process and Device, etc) as part of the learning development and eventually be working on wide bandgap devices team.

Qualifications:

• Bachelors / Masters' degree in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or equivalent
• At least 5 years of relevant experience preferred. Candidates with relevant study/project experience (Electronics, Microelectronics, Computer Engineering, etc) can be considered.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to "get things done".
• Industry experience 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.

Responsibilities

• The candidate will be required to perform electrical testing, test data analysis & automation across SiC power and RF/mmWave GaN devices.
• The candidate hands-on characterization work will encompass from low voltage I-V/C-V to high voltage breakdown, switching performances for SiC, and DC & high-frequency characterizations for RF/mmWave regime.
• The candidate must have hands-on experienced in handling Keysight 4156C and B1500A/Keithley K4200 Device Analyzer, B1505A High Power Device Analyzer with N1265A UHC Fixture and Keysight 4284A/4285A and E4908A LCR Meter independently on their own.
• It will be a plus if the candidate has knowledge of instrumentation control using LabView and some other software like Python, C++ etc .
• The candidate is required to have at least some basic semi-conductor knowledges of semi-conductor devices like P-N Junction, Diodes, CMOS etc.
• The candidate can be exposed to process and device design/simulation with commercial TCAD tools (e.g. Silvaco Victory Process and Victory Device, Sentaurus Process and Device, etc) as part of the learning development and eventually be working on wide bandgap devices team.

Qualifications:

• Bachelors / Masters' degree in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or equivalent
• At least 5 years of relevant experience preferred. Candidates with relevant study/project experience (Electronics, Microelectronics, Computer Engineering, etc) can be considered.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to "get things done".
• Industry experience 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.

The (Senior) Research Engineer must be willing to work on multi-disciplinary research projects at the intersection of computational neuroscience and AI. This includes designing human behavioral experiments and collecting human responses, alongside developing computational models of cognitive functions (visual attention, eye movements, visual perception, memory, context reasoning, and multi-agent decision making).

Job Requirements:

• Bachelor's degree (or above) in Computer Science, background in AI.
• At least 5 years of experience
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Proficient in coding any of the following models, algorithms, hardwares, tools (at least 5 from the list below):

Multi-agent Reinforcement learning, deep reinforcement learning, Convolution Neural Nets, Hebbian learning, vision transformer, continual learning, scene graphs, reward, inverse reinforcement learning, backpropogation, shape bias, knowledge distillation, self-supervised learning, augmented memory, variational auto-encoder, associative memory, foveation, Blender, cause-effect, neuro-symbolic, recurrent neural networks, LSTM, Mturk, Prolific, Python, Matlab, Pytorch, Tensorflow, NVIDIA, cross-entropy, maximum likelihood, metric learning, representation learning, open-set, long-tailed, object detection, object classification, mixup, style transfer, data augmentation, curriculum learning, generalization, out-of-distribution, domain shifts, random forest, decision tree, Monte Carlo tree search, hard and soft attention, meta-learning, depth estimation, video tracking, predictive coding

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.

The (Senior) Research Engineer must be willing to work on multi-disciplinary research projects at the intersection of computational neuroscience and AI. This includes designing human behavioral experiments and collecting human responses, alongside developing computational models of cognitive functions (visual attention, eye movements, visual perception, memory, context reasoning, and multi-agent decision making).

Job Requirements:

• Bachelor's degree (or above) in Computer Science, background in AI.
• At least 2 years of experience
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Proficient in coding any of the following models, algorithms, hardwares, tools (at least 5 from the list below):

Multi-agent Reinforcement learning, deep reinforcement learning, Convolution Neural Nets, Hebbian learning, vision transformer, continual learning, scene graphs, reward, inverse reinforcement learning, backpropogation, shape bias, knowledge distillation, self-supervised learning, augmented memory, variational auto-encoder, associative memory, foveation, Blender, cause-effect, neuro-symbolic, recurrent neural networks, LSTM, Mturk, Prolific, Python, Matlab, Pytorch, Tensorflow, NVIDIA, cross-entropy, maximum likelihood, metric learning, representation learning, open-set, long-tailed, object detection, object classification, mixup, style transfer, data augmentation, curriculum learning, generalization, out-of-distribution, domain shifts, random forest, decision tree, Monte Carlo tree search, hard and soft attention, meta-learning, depth estimation, video tracking, predictive coding

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.

A Corp Lab in NTU is looking for a Research Engineer I or II to work on Large Language Models for Health. 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 project-based research.

Key Responsibilities:

• Work closely with the Principal Investigator (PI) and team members/engineers to design and implement LLMs-based conversational agents.
• Assist in data and LLM analysis and conducting experiments for project-based research questions.
• Assist in developing algorithms and models based on existing LLMs to enhance multi-turn conversations, proactive inquiry, and knowledge-guided common-sense reasoning in conversational agents.

Job Requirements:

• Master’s degree or Bachelor’s Degree in computer science/engineering.
• Solid knowledge in Natural Language Processing, LLMs, or conversational AI.
• Proficient in programming languages and frameworks relevant to machine learning, specifically Python and PyTorch.
• Able to test, debug and optimize existing code base and other features.
• Excellent communication skills and good problem-solving skills.
• Relevant publication record in NLP and conversational AI is preferred.

We regret that only shortlisted candidates will be notified.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop operation and planning method for onshore microgrid and charging infrastructure within the maritime electrification sector.

Key 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:
  1. Develop planning optimization method for onshore microgrid and charging infrastructure
  2. Analyze and develop mathematical models for shore loads and charging demand profiles for electric fleets. This part of the work requires close collaboration with fleet owners based on their needs and operational requirements.
  3. Analyze charging impact on distribution networks and provide design optimization for charging operators and shore microgrid owners
  4. Assist supervising student helpers or final year project students participating in the project
• 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

• Have relevant competence in the areas of microgrid/multi-energy Operation and planning, machine learning and data analysis in the field of power system applications.
• Have a degree in Electrical//Electronic Engineering or relevant fields. Possessing a Master’s or PhD degree will be advantageous.
• Proven track record of high quality journal papers published in the relevant field will be highly advantageous.
• Knowledge of optimisation algorithm development in the field of power systems will be advantageous.
• Familiarity with optimisation using Gurobi, Cplex and etc. is a must.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.The project is an industry facing one where frequent interactions and information exchanges are required with industry partners.
• 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 Early Mental Potential & Wellbeing Research Centre’s mission is to maximise every child’s mental and emotional capital by uplifting neurodevelopmental trajectories during early sensitive periods through interdisciplinary discovery science and translational technologies.

Toward this aim, we engage in 3 major activities and thrusts:

1) Core Discovery Research, Empowering Science: Basic neuroscience research and advanced computational models to understand individual neurocognitive potential, developmental trajectories, and risk and resilience factors;

2) Translation to Clinic & Pedagogy, Empowering Practitioners: Developing precision assessment and intervention tools to optimise parent-child social and mental health within clinical, education and community settings;

3) Translation to Real-World Technologies, Empowering Families: Creating scalable solutions and real-world technologies for parents to enhance their child’s mental and cognitive wellbeing at home.

We are looking for an experienced full-time IT / Data Research Engineer to support major research programmes being conducted by the EMPOWER Centre.

Key Responsibilities:

• Conduct internal user requirement analysis, participate in solution design, planning and deploying of IT and data management solutions for the Centre’s research needs.
• Work closely with colleagues on procurement, preparation and publishing of tender specifications, as well as in evaluating and recommending potential solutions and/or vendors, contract management etc.
• Liaise closely with the Centre’s researchers and administrative staff to optimise the current data management system and to develop and maintain local networks.

Job Requirements:

• 2-3 years of working experiences in a fast-paced commercial / industry setting is desirable.
• S/he will also provide technical support for research dissemination activities, which may include workshops, seminars and public outreach activities.
• Candidates with a proven track-record in one or more of these areas are welcome to apply, and we will begin reviewing applications from May 2024 onwards, until all positions are filled.

We regret to inform 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

Flexible electronics lab at NUS MSE is looking for a Research Assistant to work on a soft robotics project. This position requires following responsibilities;
- Design, fabrication and characterization of soft robotic devices.
- Working on experimental setup of actuator preparation, fabrication and characterization.
- Working closely with PI and lab members.

Qualifications

• Bachelor’s degree
• Experience on Control
• Experience on Robotics
• Experience on Design
• Individual and team work ability
• Good writing and communications skills
• Risk management and problem-solving ability

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.

A Corp Lab in NTU is seeking to hire a Research Engineer II who will contribute to the design and execution of robust research initiatives aimed at cultivating green premium strategies and green recommendation systems, fostering environmental benefits.

Key Responsibilities:

• Designing and conducting comprehensive research focused on developing green premium strategies and green recommendation systems to enhance environmental benefits.
• Proposing recommendation methodologies that guide users towards more sustainable lifestyle choices by leveraging data analytics and user behavior insights.
• Developing or fine-tuning large language models (LLMs) that are optimized to influence and persuade consumers to prefer environmentally sustainable products.

Job Requirements:

• Masters’s degree in Computer Science or a related discipline.
• Possess a strong knowledge of deep learning techniques and recommendation system architectures aimed at enhancing the precision of guiding consumers towards sustainability. Demonstrated research experience or a proven track record in these areas is advantageous.
• Proficient in data analysis and data mining, with the ability to extract and interpret complex data sets to improve recommendation algorithms and strategies.
• Capable of collaborating effectively within interdisciplinary teams.
• Excellent communication and written skills in English.

We regret that only shortlisted candidates will be notified.

We are looking for an energetic and motivated engineer to join our team. In this position you’ll play an important role in helping to develop cutting edge manufacturing technologies, as well in helping companies innovate and grow. And while doing so you’ll have the opportunity to work directly in and understand the industrial environment.

If you are passionate about engineering, process development, operating heavy machinery, advanced manufacturing, materials, and processes, this could be the role for you!

JOB DESCRIPTION

• Provide technical support and conduct process trials/experiments for both research and industry projects.
• Be an integral member of a metal casting team involving the operation of heavy machinery.
• Conduct materials characterization and testing.
• Engage with industry partners, customers and research collaborators to develop and execute plans.
• Provide timely project update and reports to team members, collaborators, and sponsors.
• Perform other ad-hoc roles / tasks as required / assigned.

JOB REQUIREMENT

• Bachelor’s degree in mechanical engineering / Materials Science and Engineering.
• Experience and knowledge in metallurgy, metal solidification and behaviour.
• Knowledge with CAD or SolidWorks is preferred but not required.
• Experience in an R&D environment or related industry is preferred but not required.

These are some of the soft skills we are looking for:

• Self-driven and proactive, apply logic and reason to effectively solve problems and manage risks.
• Team player with the ability to work effectively and independently within the team.
• Welcoming ideas from others and drive processes forward in an inclusive manner.
• Professionalism in communicating and interacting with team members and industry players.
• Attention to detail.
• Keen interest and ability to learn and adapt to new technologies to stay up-to-date and remain relevant.

We are looking for an energetic and motivated engineer to join our team. In this position you’ll play an important role in helping to develop cutting edge manufacturing technologies, as well in helping companies innovate and grow. And while doing so you’ll have the opportunity to work directly in and understand the industrial environment.

If you are passionate about engineering, process development, operating heavy machinery, advanced manufacturing, materials, and processes, this could be the role for you!

JOB DESCRIPTION

• Provide technical support and conduct process trials/experiments for both research and industry projects.
• Be an integral member of a metal casting team involving the operation of heavy machinery.
• Conduct materials characterization and testing.
• Engage with industry partners, customers and research collaborators to develop and execute plans.
• Provide timely project update and reports to team members, collaborators, and sponsors.
• Perform other ad-hoc roles / tasks as required / assigned.

JOB REQUIREMENT

• Bachelor’s degree in mechanical engineering / Materials Science and Engineering.
• Experience and knowledge in metallurgy, metal solidification and behaviour.
• Knowledge with CAD or SolidWorks is preferred but not required.
• Experience in an R&D environment or related industry is preferred but not required.

These are some of the soft skills we are looking for:

• Self-driven and proactive, apply logic and reason to effectively solve problems and manage risks.
• Team player with the ability to work effectively and independently within the team.
• Welcoming ideas from others and drive processes forward in an inclusive manner.
• Professionalism in communicating and interacting with team members and industry players.
• Attention to detail.
• Keen interest and ability to learn and adapt to new technologies to stay up-to-date and remain relevant.

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.

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.

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 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.

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

A Corp Lab in NTU is seeking to hire a Research Engineer II who will contribute to the advancement of Artificial Intelligence (AI) and sustainability by leveraging expertise in literature review and background study of green AI, applying foundational model knowledge to enhance training and inference efficiency, and conducting rigorous experiments to validate and benchmark against comprehensive baselines, thereby driving innovation towards environmentally conscious AI solutions.

Key Responsibilities:

• Performing literature review and background study on green AI
• Apply knowledge on foundation models to optimize training and inference processes
• Conduct experiments to compare with comprehensive baselines and validate results

Job Requirements:

• Possess bachelor’s degree in computer science, or a related discipline, with a focus on Cyber Security, Machine Learning and/or Data Mining
• Experiences in edge networks and communication systems
• 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/track record in machine learning will be a plus

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a Research Engineer I who will conduct cutting-edge research on large language models (LLMs) for Southeast Asian languages.

Key Responsibilities:

• Conduct research in the field of neural networks, natural language processing (NLP), and large language models (LLMs)
• Critically evaluate existing literature and propose new ideas under supervision
• Write papers and present the research work to a wide audience

Job Requirements:

• Bachelor’s degree and above in computer science, artificial intelligence, or related disciplines
• Strong background in Python and PyTorch programming
• Excellent mathematical literacy and familiarity with linear algebra and probability theory
• Curiosity, keen observation, grit, and communication skills
• Keen observation for clues that most people may overlook
• Excellent oral and written communication in English
• Excellent teamwork, sense of responsibility, and interpersonal skills

We regret that only shortlisted candidates will be notified.