Total 10 Junior Executive process development engineer job vacancies in Education / Training category in Australia

Research assistant in “Quantum computing engineer”

The Nanyang Quantum Solutions team led by Prof. Marek Gluza at NTU Singapore is seeking a new member to propose new quantum algorithmic solutions based on Riemannian geometry.

With whom? With Prof. Marek Gluza at NTU Singapore who is eager to debate with you whether double-bracket quantum algorithms or a different approach are the right one when executing on Helios or Heron. The research group is being formed and see https://marekgluza.github.io/ for the intended culture centered on the idea of serving experimental efforts through theoretical support developing quantum middleware solutions.

Key Responsibilities:

• Perform quantum compilation optimizing towards successful execution on quantum hardware.

• Support research on quantum algorithms by performing auxiliary data processing tasks.

• Analyze prospects of new research directions

Job Requirements:

• Bachelor's degree in mathematics, physics, computer science or related field

• At least 1 years of relevant experiences in research on quantum computing, e.g. final year project

• Excellent written and oral communication skills

• Proficiency in material covered by Nielsen and Chuang’s textbook

• Ability to work independently, develop solutions under strict timelines, meticulous and eye for details, excellent organizational and time management skills.

Supplementing a cover letter: As part of our merit-based hiring, we recognize that potential isn’t always reflected in traditional metrics. We invite all applicants to contextualize their journey in a personally written cover letter. This helps us evaluate your prospective potential alongside your existing abilities; see the guide for applicants for more information. Applicants from underrepresented groups or those from countries affected by crises are particularly encouraged to provide one (please do not rely on AI to generate it).

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

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

The Research Assistant will lead a project on Waste-to-Resource technologies, with primary responsibility for the design, construction, and commissioning of a pilot-scale thermal waste treatment facility. This role contributes directly to the University’s mission of advancing impactful, applied research by developing and demonstrating sustainable waste management solutions that support resource recovery, environmental stewardship, and the transition to a circular economy.

Key Responsibilities:

• Lead technology screening and evaluation to identify suitable thermal treatment processes (e.g. gasification, pyrolysis, combustion) for diverse solid waste streams, including municipal solid waste.

• Contribute to the end-to-end planning, detailed design, installation, commissioning, and operation of a pilot-scale thermochemical waste treatment facility, including hands-on engineering and troubleshooting.

• Work closely with the Principal Investigator (PI) and Co-PIs to develop and implement risk assessments, standard operating procedures (SOPs), and safety protocols, ensuring compliance with applicable regulations for construction and operation of the pilot facility.

• Investigate and evaluate options for energy recovery and electricity generation from the thermal waste treatment process (e.g. syngas utilization, heat recovery systems, gas engine applications).

• Support the identification, characterization, and evaluation of value-added applications for solid residues generated from thermal treatment processes (e.g. biochar, pyrolysis char, ashes), including potential reuse pathways and performance assessment.

Job Requirements:

• Bachelor's in Chemical Engineering, Environmental Engineering or closely related field

• Relevant hands-on experience (academic, pilot-scale, or industrial) in thermal waste treatment, process engineering, or related fields is an advantage

• Familiarity with best practices in waste management and state-of-the art technologies for solid waste treatment

• Strong foundation in thermodynamics, including mass and energy balance calculations and process performance analysis

• Experience or demonstrated ability in designing, building, commissioning, and testing pilot or demonstration-scale systems

• Competence in data and information visualization, including process flow diagrams, technical presentations, and performance reporting

• Ability to work independently and develop practical engineering solutions under tight timelines

• Strong written and oral communication skills, with the ability to convey complex technical concepts clearly

• Ability to collaborate effectively within an international, multidisciplinary team and across different time zones

• Proven ability to build rapport, influence technical and non-technical stakeholders, and work effectively in a fast-paced environment

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

The Role

You will research and experiment with what drives visibility in AI-powered search engines such as Perplexity, ChatGPT, and Gemini. This is a hands-on research and engineering role — you will design experiments, build models, and see your work directly impact the product.

What you will do:

• Design and run experiments to identify and validate GEO ranking factors
• Develop and iterate on algorithms and scoring models
• Analyze large-scale data to extract actionable insights
• Work closely with the founding team to translate research into product features

What We’re Looking For

Must-have

• PhD (fresh graduate) or Master’s degree with 1 year of relevant experience
• Strong foundation in machine learning, NLP, or information retrieval
• Solid experimental mindset — able to design tests, analyze results, and draw conclusions
• Curious, fast learner, comfortable exploring territory without a map

Nice to have

• Familiarity with how LLMs process and retrieve information
• Experience with search, ranking, or recommendation systems
• Any prior exposure to SEO or content analytics

No prior GEO experience needed — we will learn together.

About Us
LITEON is a world‑leadingprovider of optoelectronic semiconductor components and power management solutions. At LITEON, people are at the heart of our success. We foster a supportive, inclusive, and empowering culture where engineers are encouraged to learn, experiment, and grow alongside experienced industry professionals.

About the Role
We are seeking a Junior Power Electronics Research Engineer to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. This role is ideal for early‑career engineers with up to 3 years of experience who are eager to build strong fundamentals in power electronics research and development.

You will work closely with senior researchers and engineers on early‑stage research and proof‑of‑concept projects that support the future of data centre, cloud, and AI infrastructure technology. This role offers structured mentorship, hands‑on lab exposure, andthe opportunity to develop into a specialist or technical leader over time.

Key Responsibilities

• Research & Learning
  - Conduct literature reviews and technical studies on power electronics topologies, components, and control concepts.
  - Learn and explore emerging technologies related to data centre and cloud power systems.
  
• Concept Development
  - Assist in identifying technical challenges, future needs, and market opportunities.
  - Support the generation and evaluation of multiple design concepts under guidance from senior engineers.
• Design & Simulation
  - Create circuit designs an system block diagramsPerform simulations using tools such as MATLAB, Simulink, LTspice, or Python to validate concepts.
• Prototyping & Testing
  - Support the construction of proof‑of‑concept hardware prototypes.
  - Perform lab testing using oscilloscopes, electronic loads, and power analysers.
  - Assist in debugging and performance evaluation.
• Documentation & Communication
  - Contribute to technical reports, design documentation, and performance summaries.
  - Support patent disclosures and internal knowledge sharing activities.

Requirements

• Bachelor’s, Master’s, or PhD degree (or near completion) in Electrical / Electronics Engineering or a related discipline.
• 0–3 years of experience in power electronics, hardware design, or related engineering roles.
• Basic understanding of power electronic architectures such as AC/DC and DC/DC converters.
• Exposure to schematic design, datasheets, and PCB layouts (academic or industry projects welcome).
• Familiarity with simulation tools (MATLAB, Simulink, LTspice, or similar).
• Interest in wide‑bandgap devices (SiC / GaN), magnetics, EMI, or thermal design is an advantage but not mandatory.
• Willingness to learn, strong problem‑solving skills, and good communication abilities.
• Hands‑on mindset with enthusiasm for laboratory work and experimentation.
• Fresh graduates with strong project or research experience are encouraged to apply.

Why Join LITEON

• Attractive Remuneration Package
  - Competitive salary package benchmarked to market standards
  - Performance bonuses and comprehensive benefits
  
• Overseas Training Opportunity
  - 2‑month overseas training attachment at one of LITEON’s global R&D sites
  - Exposure to international teams, advanced facilities, and real‑world product development
  
• Structured Development & Mentorship
  - Close guidance from experienced researchers and senior engineers
  - Clear technical growth pathway from junior to advanced engineering roles
  
• World‑Class R&D Environment
  - Well‑equipped laboratories and modern development tools
  - Opportunities to contribute to publications, patents, and future technology platforms
  
• Meaningful Impact
  - Be part of innovations shaping energy‑efficient data centres, cloud computing, and AI infrastructure

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

The candidate will be responsible for conducting design and development of sensor networks and Internet-of-Things (IOT) systems for in-home sensing and machine learning models for analyzing digital biomarkers and human activity data for the purpose of cognitive health monitoring and wellbeing analysis. Successful candidate will join an active research team led by Prof TAN Ah Hwee from School of Computing and Information Systems, Singapore ManagementUniversity.

Candidate's core responsibilities are:

• Project administration, user management
• Design, deployment and maintenance of sensor networks and Internet of Things (IOT) system for in-home sensing of human behaviour and activities
• Integration of in-home sensors, home gateway, and backend cloud servers for data collection
• Development of software for digital biomarker feature extraction and data analytics
• Building of machine learning and predictive models based on digital biomarkers and spatial temporal data
• Documentation and preparation of technical reports
• Other duties as assigned

• Diploma or Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from an nstitution of higher learning
• Minimum 1-2 years of relevant research experience with sensors, Internet-of Things, data analytics, artificial intelligence, or related fields
• Good analytical, technical and problem solving skills
• Knowledge/Proficiency in hardware sensors, cloud computing, networking and programming languages, such as Python, Java and C/C++• Competency in application prototype design and development
• Good writing, communication and interpersonal skills

#LI-JN2

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

We are seeking a Research Assistant or Research Engineer I to support our research and testing initiatives in power electronics for medium-voltage grid-connected applications. These research efforts align closely with the university’s strategic goals toward building more sustainable societies.

Key Responsibilities:

• Design, implement, and tune digital control algorithms for power converters tailored for smart grid applications.
• Model and simulate control systems including stability analysis and optimization of control parameters for grid compliance and dynamic performance (e.g., under transient and fault conditions).
• Develop and implement firmware for embedded controllers to execute hard real-time control strategies for various power converters and grid interfaces.
• Develop test plans and conduct lab testing and real-time simulations (e.g., HIL) to verify control algorithms and validate system performance under various operating and fault conditions.
• Collaborate with senior engineers to integrate control systems into high-power high-voltage converter systems.
• Prepare comprehensive technical documentation, including design/test reports, control models, test results, and source code.
• Work closely with cross-functional teams including procurement, finance, and safety to support project delivery and compliance.
• Contribute to research proposals, research disseminations, and project deliverables.
• Support laboratory activities, including equipment maintenance, procurement, and administrative tasks.

Job Requirements:

• Bachelor or Master’s degree in Electrical Engineering, with a specialization in Power Electronics and its applications to renewable energy and power systems.
• Extensive experience in embedded C/C++ programming for hard real-time systems, including implementation of control algorithms on DSPs and FPGAs.
• 3–4 years of hands-on experience in VHDL/Verilog programming for FPGA-based control and signal processing applications.
• Strong understanding of digital control theory, loop tuning methods, and stability analysis for dynamic systems.
• Hands-on experience with HIL platforms such as OPAL-RT, RT Box, or Typhoon HIL for validating control systems under realistic operating conditions.
• Strong analytical, documentation, and communication skills, with the ability to work independently and collaboratively in adynamic, cross-functional teams, and fast-paced research environment.

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

Salary: up to $3000
Duration: 1 year

Working Days & Hours: Mon-Fri Office Hours

Location: Jurong

Job Description:
Responsibilities for L&D:

Support in planning, communication and execution of training programmes, i.e. design EDM collaterals, setup classroom, communicate confirmation email, liaise with vendor on logistics and perform post-training administration tasks.

Support in the coordination of Learning Awards application exercise, i.e. consolidate the submissions, assist in reviewing the application forms, schedule panel interviews with candidates

Supporting the experiential activity at Onboarding Programme (JOB)

Monitor registration process of L&D corporate programmes

Liaise with GSS on invoicing matters and payment processing

Facilitate in the payment of internship allowance

Update and maintain the accuracy of data entry in the L&D dashboard

Assist in other administration of L&D projects and initiatives

Responsibilities for Employee Engagement:

Support, promote and help drive in the co-ordination of employee engagement programme

Coordinate event logistics (liaising with staff, vendors, creating promotional materials) and event day activities

Provide administrative support for HR functions and processes; staff wellness, process/work improvement review projects

Manage staff facilities, budget and engagement activities (e.g., Staff Lounge, Gym, recreational facilities)

Job Requirements: Min Diploma in Human Resources or similar w min relevant HR internship experience

Interested candidates, please submit your resume to: allylok@recruitexpress.com.sg

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

allylok@recruitexpress.com.sg

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistant/Engineer will be involved in field sampling of coastal and fresh waters as well as laboratory analysis of water quality. The data will be used to develop computer models for predicting microbial and chemical water quality. In addition to the above, the Research Assistant/ Engineer is expected to contribute actively in writing reports and research papers, presenting research updates and liasing with external parties.

Qualifications

• A Bachelor in Environmental Engineering or equivalent. 
• Experience in water quality/environmental modelling and/or experience in water quality analysis and environmental engineering is preferred.  

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.

Position Overview

A/P Chen Ying from Mathematics Department, National University of Singapore is seeking a highly motivated and technically proficient Research Assistant (Full-Time) to lead the end-to-end design and development of interactive systems for cutting-edge optimization and machine learning (ML) models. This role is pivotal in "translating" complex academic research into functional, high-fidelity web applications and interfaces. You will work at the intersection of applied software engineering, user-centered design, and AI systems.

Major Responsibilities
•    Full-Stack Development: Lead the design and implementation of intuitive UIs and robust backend architectures for ML models.
•    System Integration: Build and maintain data collection pipelines and experimental setups that bridge backend mathematical models with frontend interfaces.
•    Architecture & Scaling: Maintain clean, scalable codebases and assist in the deployment of research tools to cloud or edge environments.
•    Rapid Prototyping: Develop high-fidelity UI prototypes through iterative, user-centered design cycles.
•    Collaboration: Actively participate in lab meetings and workshops with professors, research fellows, and industry partners.

Qualifications

•    Bachelor’s or Master’s degree in Computer Science, Software Engineering, Engineering or a related technical field.
•    Strong experience with modern web frameworks, with a preference for React.js.
•    Proficiency in Python and experience with backend frameworks such as FastAPI, Flask, or Django.
•    Familiarity with relational databases (e.g., PostgreSQL, MySQL) or NoSQL solutions (e.g., MongoDB).
•    Proficiency in version control (Git) and modern development environments (VS Code, PyCharm, etc.).
•    Ability to explain technical trade-offs to a multidisciplinary team.

Preferred (Bonus) Skills
•    Experience in designing and consuming APIs Design.
•    Experience with human-centered design
•    Exposure to machine learning pipelines (Scikit-learn, PyTorch, or TensorFlow) and model deployment.
•    Experience with containerization (Docker) and cloud services (AWS, Firebase, or similar).

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

We are seeking a motivated Research Assistant to support experimental activities in materials research through process optimization, workflow development and prototype-related tasks. 

1. Process Optimization & Workflow Development

•    Help refine and optimize fabrication procedures, including standardizing steps and organizing parameters.
•    Develop structured experimental workflows, checklists, and documentation to improve reproducibility.
•    Assist in preparing and updating detailed procedural guides, diagrams, and SOPs.
•    Identify gaps in existing processes and propose improvements to efficiency and consistency.
•    Track sample preparation, experimental sequences, and process variations.

2. Prototype Development Support

•    Assist in assembling and preparing experimental materials, soft devices, fibers, or related prototypes.
•    Support scaling experiments, repeatability studies, and parameter tuning.
•    Conduct basic stability or performance monitoring tasks.
•    Organize and label prototypes or samples for testing.
•    Assist in troubleshooting simple issues in experimental setups.

3. Experimental Support Tasks

•    Perform basic measurements and data collection.
•    Prepare samples for testing workflows.
•    Carry out routine checks on equipment, tools, and work areas.
•    Help with maintaining well-structured records of experimental conditions and results.

Qualifications

Required

•    Bachelor’s degree in Materials Science, Mechanical Engineering, or other relevant Engineering fields. 
•    Strong organizational skills and attention to detail.
•    Ability to structure workflows and manage process optimization.
•    Responsible, proactive, and willing to learn and coordinate experimental procedures.

Preferred

•    Experience in structured research environments or procedural documentation.
•    Familiarity with materials fabrication, soft devices, fibers, or prototyping.
•    Ability to write clear technical notes or step-by-step instructions.
•    Interest in process refinement and translational research.