Total 267 engineering job vacancies in Australia

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Designing and developing scalable algorithms for building Data+AI systems.

• Writing research papers of high quality based on research results

• Building deployable Data+AI systems based on the research results.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Job Responsibilities:

Management and upkeep of Plant Facility, Engineering Service, Industrial Engineering and Environmental.

1.     Training

To develop staffs capability to their fullest potential by reviewing, planning and recommending related training programmes.

2.     Cultivation of Team Spirit

To cultivate team spirit, open communication, and innovation among staffs. With this, staffs will be motivated to produce good results – in term of system performance and cost saving.

3.     Budget Control

To ensure spending are within the allocated budget.

4.     To identify and implement potential areas for development

●     Systems improvement work

●      New technology

5.     Water & Electricity Conservation / Utilization.

To manage the above program through:

●      awareness training

●      formulate data bank for analysis and decision making

●      setting water targets for equipment

●      price negotiation for electrical rates

●      water recycling

●      waste minimization

• Responsibilities with respect to significant aspects related link to operational control in company wide.

• Manage the ISO 14001 Environmental Management System. (Environmental Management Representative – EMR)

• Manage the Hazardous Substances Permit ( Hazardous substances License Holder)

• Liaise with consultants on new requirements / projects.

• To manage all investment projects from initiation to commissioning of systems

• Any other work as assigned by the Plant Manager
  

Job Requirements:

• Degree in Engineering

• Minimum 10 years with Management experience

• Experience in PCB manufacturing environment will be added advantage.

• In-depth knowledge of Plant Facility, Engineering Service, Industrial Engineering, and Environmental Management

• Strong knowledge of ISO 14001 Environmental Management System and Hazardous Substances Permit management.

• Proven expertise in budget control, planning, and preventive maintenance control.

• Technical knowledge of building automation control/maintenance, air-conditioning, compressor systems, and water & waste-water treatment.

• Experience in water and electricity conservation/utilization programs, including data analysis, target setting, water recycling, and waste minimization.

• Excellent communication, inter-personal, coaching, and mentoring skills for staff development and team cultivation.

• Experience in managing investment projects from initiation to commissioning and liaising with external consultants.

You are responsible for new equipment introduction, risk assessment, equipment set-up, release, PM, Calibration, lab audits and as well as continuous improvement activities such as equipment reliability improvement, cost reduction, and equipment usage optimization. Through this role, you will enhance your technical skills in equipment management and improvement, project management, and strengthen your engagement and network with vendors and global GEL organizations across Micron sites.

Responsibilities

-Support GEL Equipment and lab operations including Internal and External audits, ESD and PM, Calibration, equipment troubleshooting, Safety and Chemical controls.

- Oversees the installation, modification, upgrade and maintenance of Engineering equipment.

- Maintains current records on equipment manufacturers’ technical notices, upgrades and safety issues. Studies equipment performance and reliability. - -- Establishes programs and solutions for increasing uptime and for equipment problems that affect the engineering process.

-Provides technical support to the engineering equipment repair and process engineering organizations. Defines and writes preventative maintenance schedules.

- Collaborate with cross functional teams on equipment requirements, space planning, facilitation, purchase and installation of equipment.
- Equipment inventory controls and critical spare parts planning.

- Coordinate external vendors on training, repair, and preventive maintenance of equipment.
- Manage external vendors expectation, set and assess goals and achievements.
- Analyze and support stakeholders’ requirements and expectations.
- Foster closer collaboration amongst cross functional teams.
- Focus on customer needs and provide timely solutions.

Requirement

• Bachelor's degree in engineering with experience with ESD checks

• At least 1 year of experience in Semiconductor Equipment or Tools PM, calibration, and troubleshooting.

• Knowledge with Automated Optical Inspection and ANSYS Simulation

Job Scope

• Design, develop, and execute research projects in membrane science and technology for sustainable and low-carbon separations.
• Develop advanced polymeric membranes, thin-film composite membranes, mixed-matrix membranes, and molecular-sieving membranes by incorporating sustainable polymers, functional nanomaterials, porous fillers, and advanced crosslinking/interfacial engineering strategies.
• Optimize membrane microstructure, free volume, interfacial compatibility, and transport pathways to achieve high permeability, selectivity, and long-term stability under complex operating conditions.
• Conduct membrane fabrication, modification, and performance evaluation for applications such as CO2 capture, H2 purification, vapor/VOC separation, organic solvent separation, resource recovery, and industrial fluid purification.
• Utilize and troubleshoot advanced characterization techniques, including SEM, TEM, AFM, FTIR, XPS, TGA, DSC, DMA, rheology, gas sorption, and permeation measurements, for membrane structure-property analysis.
• Interpret experimental results, compile technical reports, and present research outcomes at project meetings and international conferences.
• Lead the preparation of high-impact manuscripts for top-tier peer-reviewed journals and actively contribute to patent applications and technology translation.
• Conduct comprehensive literature reviews and propose innovative approaches for developing stable, recyclable, scalable, and high-performance membrane materials.
• Assist in mentoring junior researchers, students, and interns, and contribute to collaborative projects with academic and industrial partners.

JobRequirement

• PhD in Chemical Engineering, Materials Science and Engineering, Polymer Science, Chemistry, Environmental Engineering, or a related discipline.
• Strong research background in membrane science and technology, polymer materials, functional materials, or selective separations.
• Prior experience in polymer membranes, thin-film composite membranes, mixed-matrix membranes, molecular-sieving membranes, gas/vapor separation, organic solvent nanofiltration, or membrane transport studies is highly preferred.
• Experience in CO₂ capture, H₂ purification, hydrocarbon separation, vapor/VOC separation, low-carbon separation processes, or membrane stability under humid/complex industrial streams would be an advantage.
• Proficiency in membrane fabrication, membrane characterization, and separation performance evaluation.
• Familiarity with characterization techniques such as SEM, TEM, AFM, FTIR, XPS, TGA, DSC, DMA, rheology, gas sorption, and membrane permeation testing.
• Track record of publishing high-quality papers in membrane science, polymer materials, chemical engineering, or related fields. Experience in patent applications or technology commercialization is an advantage.
• Proven ability to conduct independent research, manage research projects, analyze complex data, and solve technical problems.
• Good scientific writing, communication, and presentation skills.
• Ability to collaborate effectively in multidisciplinary teams and contribute to the supervision of junior researchers.

Job Description
The Staff Engineer, Process Development & Sustaining will lead the development, optimization, and sustaining of manufacturing processes for WD's HDD storage products. This is a technically deep, cross-functional role requiring strong foundation in chemistry, materials science, or chemical engineering.

You will drive process characterization, chemical/material qualification, and yield improvement initiatives while ensuring manufacturing processes remain stable, compliant, and cost-competitive. You are expected to operate with high technical autonomy, interface with global R&D and process teams, and mentor junior engineers on the Penang floor.

This role is ideal for a PhD's, or Master's graduate in Chemical Engineering or Materials Science who is passionate about translating lab-scale science into high-volume manufacturing solutions.

Key Responsibilities

Process Development

• Design and develop new manufacturing processes or significantly improve existing ones for HDD production
• Conduct Design of Experiments (DOE) to characterize process windows, identify critical process parameters (CPPs), and optimize process outputs
• Evaluate and qualify new chemicals, materials, and process consumables for manufacturing use
• Develop process recipes, control plans, and standard operating procedures (SOPs)
• Translate R&D/lab-scale processes into robust, scalable, high-volume manufacturing processes

Process Sustaining

• Own sustaining engineering for assigned process modules — ensure processes remain stable, in control, and within specification
• Monitor Statistical Process Control (SPC) charts; respond to out-of-control signals with structured problem-solving
• Lead Engineering Change Orders (ECOs) for process changes, chemical substitutions, and material updates
• Manage process deviation requests and ensure timely resolution
• Maintain process documentation, control plans, and work instructions per WD QMS

Chemical & Material Engineering

• Lead chemical/material qualification activities including incoming material testing, process compatibility studies, and shelf-life evaluations
• Evaluate alternative chemistries and materials for cost reduction, sustainability, or supply chain risk mitigation
• Work with EHS team to ensure safe handling, storage, and disposal of process chemicals per regulatory requirements
• Support RoHS, REACH, and PFAS compliance reviews for process chemicals and materials

Yield & Quality Improvement

• Lead yield loss analysis and drive structured RCCA (Root Cause and Corrective Action) for process-related defects
• Apply Six Sigma / SPC / Lean methodologies to reduce process variation and improve Cpk
• Partner with Quality Engineering to resolve customer escapes and field returns linked to process issues
• Drive continuous improvement projects with measurable cost and quality impact

NPI & Technology Transfer

• Support New Product Introduction (NPI) process readiness — from process concept to mass production release
• Lead or support technology transfer of new processes from R&D/HQ to Penang manufacturing
• Develop process qualification protocols (PQ), installation qualification (IQ), and operational qualification (OQ) plans

Cross-Functional Collaboration

• Interface with R&D, Product Engineering, Quality, EHS, Supply Chain, and Equipment Engineering teams globally
• Present process data, findings, and recommendations to senior management and global stakeholders
• Collaborate with equipment engineers on process-equipment interactions and optimization

People & Mentorship

• Mentor and coach junior and mid-level process engineers
• Lead technical reviews, knowledge-sharing sessions, and engineering forums
• Support capability building within the Penang process engineering team

Job Purpose

Responsible for operational training administration and compliance across Operations and Engineering functions. Ensures all mandatory certifications, licences, and regulatory training requirements are maintained accurately and audit-ready.

Key Responsibilities

1.    Operational & Engineering Training

• Coordinate training programmes for Operations and Engineering teams
• Administer mandatory training requirements (e.g. safety, equipment handling, process training)
• Maintain training schedules aligned to production and operational needs
• Partner with line managers to ensure workforce training readiness

2.    Certification & Licence Management

• Maintain and track mandatory licences and certifications, including: First Aiders, Forklift operators and Safety and regulatory certifications etc.
• Monitor expiry dates and coordinate renewals
• Ensure compliance with local regulatory and internal audit requirements

3.    Training Administration

• Manage end-to-end training logistics, enrolment, and attendance tracking
• Maintain training records in LMS or central trackers
• Ensure accurate documentation for all training activities

4.    Compliance & Audit Readiness

• Ensure all training documentation is complete and audit-ready
• Support internal and external audits relating to training compliance
• Track mandatory training completion rates and escalate gaps

5.    Reporting & Continuous Improvement

• Prepare regular reports on training completion and compliance status
• Support process improvements to enhance training tracking and effectiveness

Job Requirements

1. Diploma/Degree in Human Resources, Business Administration, or related field
2. 1–3 years of experience in HR operations, training coordination, or L&D support
3. Exposure to manufacturing / engineering / semiconductor environment preferred
4. Strong organisational and coordination skills with attention to detail
5. Good communication skills, with ability to work with technical stakeholders
6. Proficient in MS Office; experience with LMS or training systems is an advantage
7. Hands-on, proactive, and able to manage multiple priorities in a fast-paced environment

You are responsible for new equipment introduction, risk assessment, equipment set-up, release, PM, Calibration, lab audits and as well as continuous improvement activities such as equipment reliability improvement, cost reduction, and equipment usage optimization. Through this role, you will enhance your technical skills in equipment management and improvement, project management, and strengthen your engagement and network with vendors and global GEL organizations across Micron sites.

Responsibilities

-Support GEL Equipment and lab operations including Internal and External audits, ESD and PM, Calibration, equipment troubleshooting, Safety and Chemical controls.

- Oversees the installation, modification, upgrade and maintenance of Engineering equipment.

- Maintains current records on equipment manufacturers’ technical notices, upgrades and safety issues. Studies equipment performance and reliability. - -- Establishes programs and solutions for increasing uptime and for equipment problems that affect the engineering process.

-Provides technical support to the engineering equipment repair and process engineering organizations. Defines and writes preventative maintenance schedules.

- Collaborate with cross functional teams on equipment requirements, space planning, facilitation, purchase and installation of equipment.
- Equipment inventory controls and critical spare parts planning.

- Coordinate external vendors on training, repair, and preventive maintenance of equipment.
- Manage external vendors expectation, set and assess goals and achievements.
- Analyze and support stakeholders’ requirements and expectations.
- Foster closer collaboration amongst cross functional teams.
- Focus on customer needs and provide timely solutions.

Requirement

• Bachelor's degree in engineering with experience with ESD checks

• At least 1 year of experience in Semiconductor Equipment or Tools PM, calibration, and troubleshooting.

• Knowledge with Automated Optical Inspection and ANSYS Simulation

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Develop/Characterize, validate & verify new process dev for NPI products to successful qualify 
• Design and develop processes to optimize efficient process flow, reduce process or product variability, improve process capability 
• Develop process improvements for high efficiency and cost effectiveness 
• Develop and maintain process optimization and validation programs 
• Evaluate current processes and provide recommendations 
• To review & buyoff process CTQs data, PFMEA, control plan, SPC 
• To work close with design team for new packing/giftbox construction relate to process window/guideline 
• Sustaining production process/assembly engineering management: Yield/Cycle time/production efficiency CIP 
• Cost saving initiative from product and process introduction 

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Design, develop, and maintain control systems and automation solutions for manufacturing processes. 
• Troubleshoot PLC, HMI, SCADA, sensors, drives, and instrumentation issues. 
• Optimize machine performance, reliability, and Overall Equipment Effectiveness (OEE). 
• Lead root cause analysis and implement corrective and preventive actions for equipment failures. 
• Support new equipment installation, commissioning, and validation activities. 
• Develop and update electrical drawings, control logic documentation, and standard operating procedures. 
• Coordinate with production, maintenance, quality, and engineering teams to ensure operational excellences. 

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

About Cynapse 

Cynapse is a leading Agentic AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Agentic AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. 

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what’s possible with video intelligence. 

Job Description 

We are looking for a Junior to Mid-Level Machine Learning Engineer to join our Model Engineering Team. This role is intended for engineers who view models as systems to be understood, developed, and improved rather than simply consumed as black-box components.

You will contribute across the full model lifecycle, from dataset preparation and architecture development to training, evaluation, and optimisation. Working closely with experienced engineers, you will improve model performance through experimentation, data-centric approaches, and systematic analysis, helping to build robust and efficient computer vision systems for real-world applications.

What You’ll Do: 

• Train, fine-tune, and evaluate computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and action recognition.
• Contribute to model development through architecture enhancements, custom heads, loss functions, and training strategy optimisation.
• Design and execute experiments to evaluate model improvements and performance trade-offs.
• Prototype, benchmark, and assess new architectures, techniques, and approaches against established baselines.
• Investigate edge cases and performance limitations, and improve model accuracy, robustness, and efficiency.
• Consider practical constraints such as latency, throughput, resource efficiency, and hardware-specific optimisation.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements 

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models through academic, project, internship, or professional work.
• Hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.

Bonus Skills 

• Experience modifying models beyond high-level APIs (e.g. custom heads, backbone modifications, loss functions, or training pipelines).
• Exposure to multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with optimisation techniques such as quantisation, pruning, distillation.
• Familiarity with experiment tracking, reproducibility, or MLOps practices.

Personal Competencies 

• Strong interest in understanding how model architectures, data quality, and training strategies influence performance.
• Enjoy experimentation, performance analysis, and iterative model improvement.
• Eager to take ownership of model components and grow into increasingly complex model development responsibilities.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Support engineering and quality control activities by working closely with manufacturing, production, and quality teams to improve tooling performance, product quality, and operational efficiency.

The role is responsible for supporting tooling design, process improvement, troubleshooting, and quality compliance to ensure smooth production operations and continuous improvement initiatives.

• Collaborate with manufacturing, production, and QA teams to identify tooling requirements and resolve engineering or design related issues.
• Support tooling design, modification, and improvement activities using CAD/CAM software such as SolidWorks and AutoCAD.
• Monitor tooling and production performance to improve efficiency, product quality, tool lifespan, and cost effectiveness.
• Assist in troubleshooting production and tooling related issues to minimize downtime and operational disruptions.
• Implement engineering best practices and support continuous improvement initiatives within production operations.
• Ensure engineering activities, tooling processes, and products comply with quality standards, specifications, and regulatory requirements.
• Coordinate with internal stakeholders on quality improvement and corrective action activities when required.
• Maintain proper engineering documentation, technical drawings, and related records.

Job Description

• Industry/ Organization Type: Waste Management Service
• Position Title: Chemical Engineering Technician (Solvent Recovery)
• Working Location: Tuas (Transport provided)
• Working Hours: 5.5 days (Mon-Fri 8AM - 5PM; Sat 8AM - 12PM) / Shift Work (Day: 8am– 8pm, Night: 8pm – 8am)
• Salary Package: Basic Salary + OT + Transport & Trip Allowance + Retention Bonus + Quarterly Incentives + AWS
• Duration: Permanent

Key Responsibilities

• Operate the distillation process plant to convert distillation waste into usable product.
• Ensure the distillation process plant runs within safe operating limits.
• Ensure flammable materials are transferred safely.
• Coordinate closely with the Laboratory for waste and product sampling.
• Follow all SOPs and work instructions.
• Coordinate with the Laboratory and sales/resale team on items for resale.
• Ensure there is enough storage capacity, and that products are stored and treated safely.
• Monitor and improve plant performance and efficiency, including recovery yield and utilities consumption.
• Carry out plant start-up and shutdown according to SOPs.
• Record process data and report any abnormal readings or deviations.
• Identify and correct process upsets and equipment malfunctions promptly.
• Work with Engineering to resolve equipment issues and put preventive actions in place.
• Conduct routine checks for leaks, spills, and other safety hazards, and ensure safe handling of flammable materials.
• Take part in training to strengthen chemical process and workplace safety knowledge.
• Support departmental 5S and workplace safety activities.

APPLY NOW!!!

• Minimum NITEC or Diploma in Chemical Engineering, Biotechnology, or a related field.
• Comfortable with basic computer use (MS Office, email, and internet).
• Communicate clearly in English (spoken and written) for daily work, including reporting and safety documentation.
• Willing to work shifts and overtime when required.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #81908 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

Job Scope:

You will leverage AI/ML, statistics, data technologies and cloud computing platforms to develop integrated, innovative data-driven solutions which will support and advance core work and strategic goals against the backdrop of an evolving energy landscape. The key responsibilities of the officer include:

• Design, build, deploy, manage and maintain end-to-end data and AI/ML projects, as well as Big Data and Cloud platforms to meet the multi-faceted needs of a rapidly growing data-driven organization in the energy sector
• Perform project management and product owner activities for the development, testing and maintenance of enterprise data systems such as data lakes, analytics platforms and AI platforms according to the Agile methodology;
• Develop and implement scalable and reliable Extract, Transform and Load (ETL) processes for the ingestion and integration of large, structured and unstructured data from a variety of data sources. This includes systems that are on-premise and cloud platforms
• Working with business users, project teams, government agencies, international organizations and industry partners to explore new AI/ML and data technologies, tools and techniques in the energy sector; and identify new deployable solutions to support and advance the companty's core work and strategic goals.

Requirements:

• Education in Computer Science, Data Science, Statistics, Economics, or other related disciplines with substantial quantitative content
• Relevant working experience, especially in handling data analytics or AI/ML projects; as well as strong knowledge of data/cloud technologies.
• Demonstrable experience in leveraging data/ML techniques such as data mining, data engineering, machine learning, natural language processing, etc.
• Demonstrable experience in programming languages like SAS, R, Python, Java, or Scala for data science and/or data processing applications.
• Excellent analytical, coordination and communication (written and verbal) skills are critical for this position.
• Background in handling data analytics as well as strong knowledge of data/cloud technologies.
• Applicants must possess an independent problem-solving mindset with a strong desire to find innovative and 'out of the box' solutions to problems.
• Applicants must possess strong interpersonal skills to engage, collaborate, build and maintain relationships with stakeholders.
• Applicant must be a committed team player, with a strong interest to shape Singapore's energy landscape and public service.
• Knowledge/experience in working with Gen AI technologies such as LLM models would be an advantage.

Working Hours: Office Hours

Contract Period: 12 months

Salary: $4500-$7500/month (depending on job position, qualifications and experience)

Location: Pasir Panjang

EA License No: 96C4864
Reg. No.: R24121728 EUNICE WOO JING QI

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28National-Centre-for-Engineering-Biology%29/33480-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking one highly motivated and creative postdoctoral researcher to join our dynamic team at the Synthetic Biology for Clinical and Technological Innovation (SynCTI), Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and the National Centre for Engineering Biology (NCEB).  

The selected Research Fellow will work collaboratively with the Principal Investigator (PI) and our research team on projects aimed at advancing sustainable bioproduction. Appointments will be initially made on a 1-year contract, with the possibility of extension. PhD holders with no experience are welcome to apply.

Ideal candidates will possess expertise in metabolic pathway engineering, microbial engineering and the development of cell factories for bioproduction. We particularly encourage applicants with a background in metabolic engineering, genome editing and bioprocess development for biochemical production. The successful candidate will assume a pivotal role in advancing the frontier of synthetic biology to address real-world challenges.

Join us in shaping the future of innovative biotechnology and making significant progress towards sustainability and technological advancement!

Main Responsibilities:
The Research Fellow is expected to: 
1) Develop biological parts, genetic circuits, or tools for engineering microorganisms; 
2) Metabolically engineer microorganisms with high bioproduction capabilities for industrial applications in the production of value-added biochemicals;
3) Write papers together with the PI for publication in high-impact journals;
4) Mentor research assistants, graduate, and undergraduate students; 
5) Assist in any other duties delegated by the Principal Investigator and group leaders. 

Remuneration will be commensurate to the candidate's qualifications and experience. Informal enquiries are welcome and should be made to Ms Suhana Sulaiman, at suhana_s@nus.edu.sg.

Formal application: Please submit your application, indicating job reference number and current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications, oral presentations, and full contacts of 3 referees) to the NUS Career Portal. Only shortlisted candidates will be notified.

Qualifications

Job Requirements:
1) Hold a PhD in Biotechnology, Biological Sciences, Biochemistry, or related disciplines; 
2) Have extensive knowledge and hands-on experience on genetic parts assembly, pathway engineering, microbial strain engineering, fermentation, recovery and analytics of targeted metabolites; 
3) Have the ability to design and perform experiments for microbial strain engineering, gene expression, protein expression, enzymatic assays, microbial fermentation, and product recovery; 
4) Know how to work independently and in a team, have an investigative nature and a strong attention to detail;
5) Possess an established record of international publications

Join a Leading Engineering & Infrastructure Organisation

We are looking for passionate and driven Engineering graduates and professionals to join a reputable organization supporting critical infrastructure and engineering operations in Singapore.

Why Join Us?

• Gross Salary : Up to $5,000+++ per month

• Monthly AWS allowance

• Generous performance bonus of up to 3 months

• Starting 18 Days Annual Leave

• Family and Childcare Leave entitlement

• Structured training and career progression opportunities

• Stable career with long-term growth prospects

Key Responsibilities

• Support engineering operations, maintenance, and improvement initiatives.

• Conduct troubleshooting, investigations, and root cause analysis of engineering issues.

• Analyse system performance data and recommend reliability improvements.

• Assist in engineering projects, testing, commissioning, and asset enhancement activities.

• Prepare technical reports, documentation, and work instructions.

• Collaborate with cross-functional teams to improve operational performance and safety standards.

• Ensure compliance with engineering, quality, and safety requirements.
  

Requirements

• Bachelor's Degree in Mechanical Engineering, Electrical Engineering, Electronics Engineering, Mechatronics Engineering, or other relevant Engineering disciplines.

• Candidates with relevant engineering, maintenance, project, reliability, manufacturing, transportation, infrastructure, utilities, aerospace, marine, or industrial experience are encouraged to apply.

• Strong analytical and problem-solving skills.

• Good communication and interpersonal abilities.

• Ability to work independently and as part of a team.
  

Apply Now

If you are looking to kickstart or advance your engineering career with an established organization offering attractive compensation, strong career development, and excellent benefits, we would love to hear from you.

Submit your updated resume today for consideration.

Please send in your resume to :

edward.liau@cornerstoneglobalpartners.com or whatapp me at +65 96578518

Edward Liau Xianke R1217423

Cornerstone Global Partners

License Number: 19C9859