Total 590 service engineer job vacancies in Education / Training category in Singapore

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.

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. Applicants with relevant study (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.

Roles & Responsibilities [Senior Research Engineer]

· Manage the R&D project and ensure that the deliverables are delivered on time.

· Ensure that the work and tasks of the project are well integrated within time and budget constraints.

· Identify and translate industry trends and customer needs into research deliverables and future strategic business needs.

· Work with team to source, develop and apply new treatment methods /processes /technologies.

· Able to critically analyze data and draw conclusions and recommendations on projects and advises go/no-go decisions

· Able to optimize the operation treatment as well as identifying the area for improvement.

· Regularly and effectively communicate the progress to other teams through meetings, reports, and presentations

· Organize meetings and intermediate project progress reviews

· Document ideas and contributions to intellectual property, such as technical report, presentation, paper, etc.

· Devote a high priority on assessing and addressing safety risks.

Roles & Responsibilities [Research Engineer]

· Water samples and membrane foulant analysis by using advanced analysis equipment, such as TOC, LC-OCD, SEM-EDX, UV, etc.

· Work with team to ensure all lab equipment calibrations and inspections are up to date.

· Control, monitor, and maintain the equipment and treatment processes in on-site pilot plant.

· Analysis & update experimental results.

· Assist in optimization of operation treatment as well as identifying the area for improvement.

· Technical report preparation.

· Work with the team to help generate relevant SOPs (standard operating procedures).

· Ensure good housekeeping in the laboratory and pilot plant and be responsible for the safety and environmental compliance of the new processes.

· Work with team to source, develop and apply new treatment methods /processes /technologies.

Qualifications

· Bachelor's degree (or above) in Chemistry / Chemical/ Environmental/ Material Engineering or other equivalent

· Fundamental/Empirical understanding of water treatment processes and chemicals innovations.

· At least 1-2 years of relevant working experiences / industry is preferred.

· Strong communication skills in both oral and written English.

· Have enthusiasm for R&D work.

· Self-motivated, able to work independently and with a team to completion of a task.

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. Applicants with relevant study (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.

Job Description:

The candidate needs to develop efficient algorithms for data collection, data cleaning and transforming raw data into usable format for model training. The candidate is expected to be meticulous, have a good sense of data quality and governance, proficient in scripting and keep good documentation. The candidate is expected to collaborate with scientists and engineers and have good team spirit. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, national language understanding

· Proficient programming skills, familiarity with Linux

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal 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.

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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 candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI with minimum 8 years of relevant experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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.

We are seeking Research Engineer II to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to Digital-twin Modelling and Smart Decision-making for Complex Industrial Processes.

Key Responsibilities:

• Developing front end website architecture
• Designing user interactions on web pages
• Developing back end website applications
• Creating servers and databases for functionality
• Ensuring responsiveness of applications
• Working for web design features
• Seeing through a project from conception to finished product
• Designing and developing APIs

Job Requirements:

• Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent
• Strong organisational and project management skills
• Proficiency with fundamental front end languages such as HTML, CSS and JavaScript
• Familiar with building web applications with web frameworks such as Flask, Django
• Familiarity with JavaScript frameworks such as Angular JS, React and Amber
• Proficiency with server side languages such as Python, Ruby, Java, PHP and .Net
• Familiarity with database technology such as MySQL, Oracle and MongoDB

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 ECE department is looking for candidates to conduct research on microarchitectures that support emerging computing paradigms (i.e., brain-inspired or quantum-inspired computing). The candidates will explore microarchitecture designs that support these emerging computing paradigms using a system-technology co-design approach. Tasks involve the exploration of various design aspects across the devices-circuits-systems-architectures-algorithm stacks.

Qualifications

1. Minimum a Bachelor degree in engineering
2. Preferable to have experience in microarchitecture design and use of EDA tools such as Cadence Virtuoso, HSPICE, etc. Experience in nonvolatile device technologies is a plus.
3. Open to Fixed Term Contract

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Engineer II.

Key Responsibilities:

• Assess requirements then transform into preliminary designs and prototypes.
• Define and execute the qualifying criteria of every development stage.
• Coordinate prototype manufacturing and solution deployment.
• Perform stringent risk and root cause analyses to ensure high-quality.
• Optimize development’s processes as well as costs.

Job Requirements:

• Bachelor and Master degrees in Mechanical Engineering, Manufacturing, or related fields.
• Proficient in kinematic/motion analysis.
• Proficient in SOLIDWORKS
• Solid ownership, user-centered, and quality oriented.
• Solid experience in designing robotic device/mechatronic system.
• Any of the followings would be plus:
  Experience in designing and manufacturing consumer products.
  Proficient in converting non-parametric model to parametric model.
  Experience in selection of DC motors.

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.

We are looking for a research engineer / fellow to help us develop a novel design for a blast door system as part of an industrial research project developing. The results of this project will be used in projects throughout Singapore. It is our aim to include all the door components in the analysis, making this a holistically developed solution.
The research will be conducted using numerical simulations, experiments and analytical solutions. The successful candidate will have a chance to acquire in depth experience in all these aspects of protective research and design.

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.
• Be responsible for these technical deliverables:Develop models of the door system using advanced finite element software.
  Plan and conduct blast testing of the proposed solutions.
  Conduct laboratory tests of components as needed.
  Develop analytical models for fast design.
  
• Carry out Risk Assessments and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team, to ensure the achievement of the project objectives and proper operation and maintenance of equipment.

Job Requirements:

• Have a basic knowledge of structural dynamics.
• Have a degree (preferably Master’s or PhD) in mechanical engineering, electrical / electronics engineering or related domains.
• Knowledge of blast and shock loading theory and applications would be advantageous
• Knowledge of non linear materials modelling would be advantageous

Key Competencies

• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Have some experience in the use of advanced FEM analysis. This could include experience in ABAQUS, LS-Dyna, Radioss or equivalent software.
• Able to support other related laboratory tasks as needed
• Willing to learn new skills as needed for the project

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 Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a Research Engineer.

The successful candidate will work on numerical simulations of fluid-structure interaction, including waves and tides interacting with large deformable platforms and renewable energy devices.

Job Requirements

• Possess at least a Bachelor’s degree in hydrodynamics, coastal/ocean engineering, or a related discipline. Masters degree in related field will be advantageous.
• Knowledge of coastal dynamics such as waves and tides.
• Strong writing and communication skills.
• Good publication record is advantageous.
• Open to fixed term contract.

Wee Kim Wee School of Communication and Information (WKWSCI) is hiring a full-time Research Engineer I for a project investigating how information cascades in closed messaging app groups, such as Telegram.

The engineer will be developing and applying machine learning, network analysis, and multimodal data to understand information cascades in closed messaging apps. The engineer is expected to conduct data mining, network analysis and machine learning on Telegram chats to understand information cascades revolving national issues in closed messaging apps. The engineer will work closely with research project members at WKWSCI, to deliver algorithms that automate user classification and topic modelling, that will later serve as protocols for other topics.

Selected candidate will work closely with Assoc Prof Edson Tandoc Jr.

Key Responsibilities:

• Develop solutions for data mining of text and stickers/images/videos on Telegram
• Develop solutions to categorize Telegram users based on network topologies
• Develop machine learning models to predict user roles and information cascade patterns
• Collaborate with other researchers in a multi-disciplinary team, while work independently on given tasks

Job Requirements:

• Bachelor degree or Diploma in Computer Science, Programming, Data Science or a related field
• Preferably 2 and more years of professional programming experience
• Experience in Natural Language Processing and Computer Vision
• Experience in Network Analysis and Machine Learning
• Writing clean, readable, and easily maintainable code
• Ability to manage your own time effectively and deliver required tasks with minimal supervision
• Good teamwork skills
• Interest in applications of technology in academic research

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

Wee Kim Wee School of Communication and Information (WKWSCI) is hiring a full-time Research Engineer I for a project investigating how information cascades in closed messaging app groups, such as Telegram.

The engineer will be developing and applying machine learning, network analysis, and multimodal data to understand information cascades in closed messaging apps.  The engineer is expected to conduct data mining, network analysis and machine learning on Telegram chats to understand information cascades revolving national issues in closed messaging apps. The engineer will work closely with research project members at WKWSCI, to deliver algorithms that automate user classification and topic modelling, that will later serve as protocols for other topics.

Selected candidate will work closely with Assoc Prof Edson Tandoc Jr.

Key Responsibilities:

• Develop solutions for data mining of text and stickers/images/videos on Telegram

• Develop solutions to categorize Telegram users based on network topologies

• Develop machine learning models to predict user roles and information cascade patterns

• Collaborate with other researchers in a multi-disciplinary team, while work independently on given tasks

Job Requirements:

• Bachelor degree or Diploma in Computer Science, Programming, Data Science or a related field

• Preferably 2 and more years of professional programming experience

• Experience in Natural Language Processing and Computer Vision

• Experience in Network Analysis and Machine Learning

• Writing clean, readable, and easily maintainable code

• Ability to manage your own time effectively and deliver required tasks with minimal supervision

• Good teamwork skills

• Interest in applications of technology in academic research

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

For an R&D project in the area of RF and microwave communication and remote sensing systems, we are looking for an experienced designer of microwave power amplifiers (PA).

In this position you will:
• design innovative pulsed and CW power amplifiers for various applications,
• draft specifications based on simulations and measurements,
• test the power amplifiers and write measurement reports,
• devote time on researching innovative power amplifiers, especially in relation to performance and thermal management,
• work with other team members on the integration of the PAs into systems and support testing of these systems,
• participate in meetings and attend conferences where applicable.

The job requires proven experience with PA design and testing tools.

Qualifications

• Possess a Bachelor or Master degree in Electrical Engineering
• Several years of proven experience in the simulation and design of RF and microwave power amplifiers.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of power amplifiers.
• Able to work independently and in a team.
• Open to fixed-term contract.

Responsibilities:

· Contribute to research and development efforts in the marine and offshore, maritime, and underwater systems areas, in particular the modelling and control of physical systems such as autonomous vessels, underwater robots and offshore renewable energy systems.

· Work in a multidisciplinary team to continuously develop and enhance our sensing, data acquisition, and cyberphysical model test capabilities. This work includes requirements formulation, sensor and actuator acquisition and characterisation, control algorithm design and implementation, controller tuning, validation and verification etc.

· Actively engage with other team members to share ideas and exchange knowledge, by e.g. producing and maintaining technical documentation, and sharing developments in the state-of-the-art.

· Survey literature and implement state-of-the-art techniques and tools (such as AI, deep learning, machine learning, etc) to solve challenging problems.

· Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

· Any other duties as assigned by supervisor.

Requirements:

Bachelor's/Master's Degree in Electrical Engineering, Computer Engineering / Science, Mechatronics, or other related disciplines.

Work Experience:

1. Preferably having relevant research/industry experience with competent knowledge in some of the following areas:

a. Control system applications or experiments using Advanced/PID control

b. Common PLC/SCADA/Embedded Controller systems.

c. Electrical motor/inverter control systems

d. Robotics

e. Digital twins

2. Knowledge of software such as LabView, MATLAB, etc. and experience with engineering simulations and prototyping tools.

Other Requirements:

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Resourceful and self-driven with professional integrity.

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

1. Perform research in the following areas relating to coastal protection and adaptation to climate change:

- Wave attenuation over mangroves, seagrasses and coral reefs

- Feasibility of floating wetlands

2. Conduct literature review, field surveys and liaise with relevant government agencies to establish configurations of coastal vegetation/coral which are representative of those commonly found in Singapore.

3. Assist in planning and executing physical modelling and simulations involving free-surface waves interacting with artificial coastal vegetation/corals, as well as waves interacting with floating wetlands.

4. Perform numerical modelling and simulations using Computational Fluid Dynamics (CFD) and relevant tools for validation with model test results, and subsequently conduct parametric study and interface with other research partners.

5. Any other duties as assigned by supervisor.

Job Requirements

Qualification & Field of Study:

Bachelor/Master's Degree in Coastal Engineering, Civil/Mechanical Engineering, Naval Architecture, Ocean Engineering or other related disciplines.

Work Experience:

1. Preferably having relevant research/industry experience with competent knowledge in some of the following areas:

- Coastal engineering, civil engineering and/or naval architecture.

2. Prior experience/knowledge of the following software/programming languages will be preferred:

- CAD software such as SolidWorks, Rhino, and/or AutoCAD

- CFD tools such as OpenFOAM, and/or StarCCM+

- Hydrodynamic analysis tools such as SESAM, OrcaFlex and/or WAMIT

- Data analysis tools such as MATLAB

- Programming languages such as python, C++ and/or FORTRAN

3. Experience with model tests in wave flumes or basins, including experimental design, model setup, sensing and data acquisition, will be an advantage.

Other Requirements:

- Good interpersonal and communications skills.

- Ability to adapt and work effectively as members of a team.

- Resourceful and self-driven with a high degree of professional integrity.

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 candidate will be working on projects related to vessel electrification and underwater robot.

Job description

1. Implement state-of-the-art techniques and tools such as data-driven modelling, AI, deep learning, machine learning etc, to solve challenging problems.

2. Perform dynamic modelling of physical systems, control design and the coupling of numerical and physical systems applied to electric vessels, underwater Robotics and/or other systems operating in the ocean environment.

3. Develop hardware and software control architectures, sensing systems to support R&D in the areas of offshore hydrodynamics and fluid-structure interactions. This includes developing, testing, troubleshooting software and verification procedures.

4. Develop engineering requirements, specification and validation criteria for high-quality research using combinations of physical experiments, sensing, numerical simulations as well as data analytics to develop integrated physical-numerical modelling, simulations and applications.

5. Survey literature and implement state-of-the-art techniques and tools (such as AI, deep learning, machine learning, etc) to solve challenging problems.

6. Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

7. Any other duties as assigned by supervisor.

Job Requirements

Qualification & Field of Study:

The candidate should have a background in engineering / computing or related fields.

Other Requirements:

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Resourceful and self-driven with a high degree of professional integrity.

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.

KEY ROLES AND RESPONSIBILITIES:

The candidate will be responsible for designing and implementing instrumentation and data acquisition solutions and systems to be deployed on site, ensuring that the solutions are reliable and scalable. The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans. The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

QUALIFICATIONS & EXPERIENCE

· Bachelor degree / Diploma in Engineering, Computer Science or any other related field

· Hands-on implementation experience in instrumentation and data acquisition

· Experience in the domain area / technology / programming languages and Communication/Data protocols

· Experience in code management and deployment

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.

Company Introduction

SepPure Technologies is a CleanTech company revolutionizing energy-intensive chemical separation processes through the application of novel membrane materials and processes. We are passionate about making a positive impact on the world through sustainable technology. Our chemical-resistant nanofiltration membranes are disrupting traditional chemical separation processes, such as distillation and evaporation, reducing global energy use, emissions, and pollution. With up to 15% of the world's total energy spent on industrial-scale chemical separations, SEPPURE's sustainable process is a game changer. We are currently working on transformative projects in the edible oil, pharmaceutical, semiconductor, solvents, and fine-chemical industries. If you enjoy working in an innovative environment and want to be part of creating a sustainable future through CleanTech innovation, we have a great opportunity for you.

Job Description

SEPPURE Pte Ltd is seeking a dedicated and detail-oriented Research Engineer to join our Applications Team in Singapore. The Research Engineer will work closely with the team to develop flatsheet and hollow fibre membranes for organic solvent nanofiltration applications. The Research Engineer will also be required to plan and conduct experiments to evaluate the performance of membranes, based on robust engineering and scientific techniques. The Research Engineer may also be required to assist in the evaluation of data and provide recommendations for membrane development.

Key Responsibilities

Membrane research and development

• Keep up-to-date with latest membrane technology development
• Support the development of dope formulation for membrane fabrication
• Modify processes to improve membrane performance
• Develop methods for membrane characterisation and performance evaluation
• Ensure high repeatability for experiments and data collection
• Maintain documentation and databases for research and development

Qualifications

Must have:

1. B.Sc in chemical engineering or related fields
2. Good understanding of polymer chemistry, design of experiment, data analysis and process troubleshooting
3. Good problem-solving skills
4. Team player with strong communication skills

Good to have:

1. Working experience in developing hollow fiber or flat sheet membranes

Worked in a lab environment

Purpose: This position seeks to recruit an experienced research engineer to assist in developing new sustainable methodologies for chemical breakdown of waste plastics.

Job Responsibilities:

• The researcher will be involved in and contribute actively to waste plastics upcycling research, including but not limited to the following:
• Assist in synthesis and characterisation of homogeneous and heterogeneous catalysts and assist in reaction screening
• Be in charge of essential research equipment and maintennance
• Assist in training and mentoring staff, interns and students as and when required
• Curating and managing experimental data, and assist in preparation of reports, presentations, technological disclosures and manuscripts

Job Requirements:

• MSc in Chemistry or equivalent
• Familiar with chemical synthesis and routine/ essential characterization techniques
• Strong communication and interpersonal skills and ability to work cohesively in a team whilst sharing resources
• Strong interest to learn about new technologies
• Excellent organizational skills including attention to details
• Willingness to learn, with adaptability and flexibility to take on required/necessary tasks beyond the job description

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow (Engineer, 3D Printer Hardware Developer).

Key Responsibilities:

The Research Fellow will be responsible for completing the construction and development of multi-material micro-nano 3D printers (experimental platforms) based on new processes, and to realize the manufacture and application of parts.

• Design the mechanical structure, control system architecture scheme, CAD model slicing scheme of the new multi-material micro-nano 3D printer, and complete the construction and development of the mechanical system;
• Based on the mechanical structure of the designed multi-material micro-nano 3D printer and the required process route, the automation of the system is realized, and the coupling development of the multi-material micro-nano 3D printer machinery and control system is completed;
• Realize the successful manufacture and application exploration of multi-material composite parts with complex shapes;
• Technical write up and presentation.

​

Job Requirements:

• PhD Degree in Mechanical Engineering/Automation/Control/Material Processing/Robotics.
• Experience in Design, construction and system integration of complex precision mechanical equipment.
• Experience in Additive manufacturing process and materials based on vat light curing (SLA, DLP).
• Preferably with experience or research experience building 3D printers from the ground up.
• Experience in C/C++ programming for embedded system and Machine GUI Design.
• Experience in development of SLA, DLP 3D printer (experimental platform);
• Experience in Preparation and application of functional polymers
• Experience in Solve practical engineering problems in the process of automation equipment development
• A team player and technically motivated to solve problems.
• Good interpersonal and communication skills.

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.

Overview

We are looking for people with a strong background in Computation & data infrastructure and/or building data systems. They must be comfortable working with a range of stakeholders and functional teams including Students, Faculty, IT and External Collaborators. The right candidate will have a passion for working with numerous small research teams to assist in managing their Infrastructure needs and advise them on best practices to engineer their projects efficiently.

Responsibilities

INFRASTUCTURE MANAGEMENT (50%):
• Maintain servers, including file , web , proxy servers, including security patches.
• Allocation of compute / storage resources as needed.
• Analyse institute infrastructure needs to implement for services providing improvements to systems.
• Management of the Institute Website.
• Liaise with Global IT teams to ensure compliance to their policies and be a single point of contact for the institute for troubleshooting.
• Manage recording and streaming systems during regular seminars / Conferences and workshops.

DATA ENGINEERING (25%):
• Support research teams with advice on efficient Data Engineering practices including automation of data pipelines, data cleansing, integrity checks etc.
• Develop processes to handle remote data access / management in compliance with security best practices (and appropriate policies)
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

SYSTEM DEVELOPMENT (25%):
• Create APIs for integrate data source into functional blocks of software & services.
• Create APIs for downstream usage of Data models.
• Coordinate with different functional teams to implement models and monitor outcome
• Promote security best practices for application development

Requirements

• Bachelor degree in Computer Science, Operations Research, Engineering with more than 3 years relevant experience
• Experience in maintaining virtualised server infrastructure and creative problem solving within large IT infrastructure.
• Deep understanding of statistical analysis, data mining or machine learning
• Practical experience in working with large structured and unstructured data set
• Ability to think analytically and deliver results that drive business decision making
• Team player to build strong partnerships
• Have competency in one or more of the programming languages or tools: Python, R, Spark
• Experience in security engineering will be a plus
• Experience or knowledge in AWS/GCP environment will be a plus
• Prepared to take on new challenges and ad-hoc requests that need a quick turn-around
• Excellent written and verbal communication skills for coordinating across teams.

We are looking for a candidate for high-speed analog and mixed-signal integrated circuit design. This candidate will contribute to the development of high-speed silicon photonics transceiver for next generation wireline communication system. This requires the candidate to work closely with the optics team on the electro/optical co-design as well as system integration and validation.

• Perform system level analysis and design, to derive circuit-level design specifications.
• Design and tapeout ICs which include state-of-the-art circuit blocks e.g. analog-to-digital converter, equalizers (CTLE, DFE) as part of the high-speed data link system.
• Work together with team to investigate novel circuit/system solutions to create new inventions

Job Requirements

• Qualification & Field of Study: Minimum Bachelor’s degree and above in Electrical Engineering
• Min. Years of Experience: Minimum 2-years of transistor level analog circuit design experience

Other Requirements (e.g. Skills, Competencies)

• Good understanding of CMOS analog and mixed-signal IC design methodologies and successful tapeout experience
• Familiar with analog and mixed-signal IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Good communication skills (both written and spoken)
• Able to generate high quality scientific publications and patents
• Team player, quick learner and self-driven

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

• Manage collected data from participants.
• Develop algorithms to learn effective visual representation for nutrition estimation.
• Build large multi-modal model for dietary suggestion generation.
• Produce high-quality publications in conferences or journals.

• Minimum Bachelors degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 1 year of relevant research experience in computer vision and multimedia systems.
• Experience in working with food computing and large language models are favorable.
• Applicants with research publications in computer vision and multimedia area are preferred.
• Self-motivated and passionate about research.

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