Total 309 process development engineer job vacancies in Education / Training category in Australia

• Assist in the development, implementation & monitoring of the annual Training Plan &  training budget, ensuring alignment with the hotel’s strategic objectives.
• Conduct Training Needs Analysis & collaborate with Department Heads to identify & address training requirements.
• Coordinate, organize & deliver both internal & external training programs across the hotel.
• Monitor training effectiveness & proactively recommend continuous improvements
• Actively participate in & play a key role in driving Heartist engagement initiatives and activities.

R&D Specialist 

Location: Tuas, Company Transport / Transport Allowance $120 if candidate possess own vehicle to work

Basic: $5000 to $5500

Working hours: Monday to Friday (8am to 5pm)

Requirements

• Ph.D in Chemistry or Chemical Engineering
• With more than 5 years of experiences in the area of specialty chemical manufacturing/applications, oil & gas or water treatment industry.
  

Responsibilities

• Develop, evaluate, and optimize treatment and handling processes for existing, new, and unknown waste streams, ensuring technical feasibility and cost-effectiveness.
• Design and implement resource recovery processes from waste streams to enhance sustainability and value creation.
• Work closely with Sales, Marketing, and Operations teams to understand waste sources, identify treatment and recovery opportunities, support commercialization, and execute pilot trials.
• Identify, assess, and implement new technologies and processes, including collaboration with external partners (universities, research institutes, and technology providers).
• Establish and continuously improve laboratory capabilities, including process development and analytical methods to support R&D activities.
• Drive continuous improvement of existing operations through process optimization and introduction of alternative treatment methods.
• Ensure compliance with internal procedures, documentation standards, and all safety, health, and environmental requirements; maintain proper laboratory housekeeping.
• Support evaluation and development of handling procedures for high-risk and high-value waste streams.
• Contribute to new business development, including identifying opportunities, supporting new projects, and participating in facility planning and operations.
• Stay updated on industry trends and emerging technologies and proactively introduce relevant innovations into the company.

Chin See Min Reg No. : R22107450

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Applied Deep Learning Research Intern

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun.

NVIDIA is searching for a world-class researcher in Deep Learning to join our applied research team. If you agree with us that the most interesting thing about the Deep Learning revolution is applying it to solve real-life problems, this team will be a great fit for you. We are passionate about Deep Learning applied to computer vision, audio, text, and other domains, with the goal of improving specific problems encountered in NVIDIA’s products. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.

What you'll be doing:

• Conceive Deep Learning approaches to solving particular product problems
• You'll construct and curate large problem specific datasets
• You'll design and implement machine learning techniques aimed at solving specific problems
• Collaborate with other team members, both in research and product roles
• Transfer technology to product groups

What we need to see:

• Pursuing a Master's in Electrical Engineering, Computer Science/Engineering, or related field
• Excellent knowledge of theory and practice of machine learning
• Excellent programming skills in a rapid prototyping environment such as MATLAB, Python, or C++
• Knowledge of common machine learning frameworks
• Track record of research excellence or significant product development
• Excellent communications and collaboration skills

Ways to stand out from the crowd:

• Expertise in parallel programming (e.g. CUDA)
• Knowledge of application areas, such as Computer Vision or Natural Language Processing

Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!

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-Engineer-%28LWIR-Perception-&-UAV-State-Estimation%29/32576-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer will work closely with the Principal Investigator (PI) on the project on Long-Wave Infrared (LWIR) Imaging for Autonomous Navigation. The position focuses on developing robust perception, state estimation, and odometry algorithms using LWIR (thermal) imaging for UAVs operating under degraded visual conditions, such as low illumination, smoke, fog, and texture-sparse environments.

The Research Engineer will design and implement LWIR-based odometry and thermal-inertial state estimation frameworks, including multi-sensor fusion with IMU and other onboard sensors. The work will involve both model-based approaches (e.g., filtering and optimization-based estimation) and learning-enhanced methods for improving robustness and generalization across environments.

The candidate will also be responsible for system integration and real-world deployment on UAV platforms, including embedded implementation, sensor calibration, and experimental validation in both indoor and outdoor scenarios. The developed methods will be evaluated in realistic navigation tasks under challenging environmental conditions.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidate should have a Bachelor’s degree from a reputable university, with expertise in robot perception, state estimation, or aerial robotics.

A successful candidate should have a strong mathematical background (e.g., linear algebra, optimization, probability, stochastic processes), along with demonstrated experience in state estimation, odometry, or SLAM systems, particularly in robotics applications.  

Qualifications

•    Possess min a Bachelor’s degree in Computer Engineering/Science or related disciplines (e.g., Electrical Engineering, Mechanical Engineering, Mathematics).
•    Have research experience in robot perception, state estimation, SLAM, or sensor fusion.
•    Experience with thermal (LWIR) imaging, event cameras, or other non-RGB sensing modalities is highly preferred.
•    Familiar with visual-inertial odometry (VIO), thermal-inertial odometry, or multi-sensor fusion frameworks.
•    Knowledge of state estimation techniques, including EKF, UKF, factor graph optimization, or moving horizon estimation (MHE).
•    Experience with feature extraction or direct methods under low-texture or low-SNR conditions is a plus.
•    Proficient in C++ or Python; experience with ROS and real-time robotic systems.
•    Familiar with UAV systems (e.g., PX4), and simulation environments such as Gazebo or AirSim.
•    Experience in sensor calibration (intrinsic/extrinsic) and time synchronization is desirable.
•    Strong analytical and problem-solving skills, demonstrated through relevant publications or projects.
•    Ability to deploy algorithms on embedded platforms (e.g., NVIDIA Jetson) is a plus.
•    Excellent communication skills for publishing and presenting research outcomes.
•    Experience in world-class research environments is highly valued. 
•    Open to Fixed Term contract 

Responsibilities

• Responsible for operations, maintenance, engineering aspects of Instrumentation & Control (ELV) systems and insfrastructure. 
• Manage daily operations to ensure systems are operating in optimal conditions.
• Respond to and perform troubleshooting for all system failures or deficiencies.
• Respond to Issues, Complaints and Queries in a timely fashion, keeping relevant stakeholders abreast.
• Plan and manage maintenance activities in accordance to OEM or regulatory requirements.
• Manage vendors/contractors on outsourced services to meet the fulfillment of contract terms and agreement.
• Involvement in facilities related projects such as Facilities Upgrading, Improvement Projects and Tool Hook-Up. Close liaison with consultants, authorities, contractors, stakeholders and etc to ensure seamless and timely completion of projects.
• Prepare RFQ / tender documents for all purchase requests.
• Compliance to EHS and regulatory requirements for all activities carried out.
• Active contribution in energy conservation program and initiatives.

Qualifications and work experiences

• An engineering degree. Diploma / ITE cert holders with many years of relevant working experience may be considered too.
• Min. 3 years of relevant work experience preferably in a wafer-fab or similar industry.
• Good experience in electrical, ELV and building automation systems.
• Project management skills; Familiar with government procurement policies and procedures is a major plus
• Good working knowledge on other facilities for e.g. HVAC, mechanical systems typical in a wafer-fab is a plus.
• Familiar with the local codes from BCA, URA, SCDF/FSB, NEA and other statutory requirements
• Analytical skills to trouble-shoot basic facilities systems.
• Able to work independently

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 a highly motivated candidatewho has strong experience in auditing IFRS financial statements, as well as apassion for learning and knowledge, to join us as Learning and DevelopmentManager for the Audit and Assurance division.  You will play a pivotalrole in enhancing the skills, knowledge, and performance of our employeesprimarily in the Audit & Assurance businesses, ensuring the continuousdevelopment and success of our workforce.

Responsibilities

• Work closely with key stakeholders on training needs to drive continuous improvements to the existing learning ecosystem.
• Design, develop and implement training and development programs that are aligned with the Firm’s strategy and address skill gaps within the workforce.
• Design, develop and deliver trainings related to financial reporting and audit methodology to the Audit and Assurance professional practice.
• Manage and monitor the deployment of training courses, including onboarding trainings for new employees.
• Ensure that the training programs and talent management practices comply with relevant regulations and standards.
• Prepare information required for external and in-house monitoring / compliance checks on training-related matters.
• Identification of training needs through participation in the Firm’s internal quality review processes.
• Provide coaching to Learning & Development support staff.

The successful candidate should have thefollowing skills and experience:

• Degree or equivalent qualification in Accounting and Finance,
• Strong audit and accounting background supported by at least 6 years of experience in conducting audits of financial statements.
• Experience in content development and delivery of Audit and Assurance trainings with excellent presentation/facilitation skills and ability.
• Proficient in Microsoft Office, and familiar with virtual delivery platforms including Microsoft Teams and Zoom.  Prior experience with learning management systems is preferred.
• Meticulous with strong organisation and administration skills.

We are seeking a detail-oriented and organised Learning Design & Course Development Executive to support a project team in the development and maintenance of learning materials and project documentation. The role focuses on instructional support, content preparation, and coordination to enable effective course delivery and project execution.

Key Responsibilities

• Support the development of course materials, learning resources, and related documentation in collaboration with the project team
• Review, organise, and update learning content to ensure accuracy, consistency, and readiness for use
• Format and quality-check learning and assessment materials to maintain clarity and alignment with requirements
• Assist in the development of digital learning content and basic multimedia resources where required
• Coordinate meetings, document discussions, and track follow-up actions to support project execution
• Maintain project records, documentation, and version control
• Support data collation, basic analysis, and administrative tracking for reporting purposes
• Manage and update course content using a learning management system from an end-user perspective (e.g., upload, organise, and maintain materials)
• Perform general administrative duties as required to support the team

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted

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-Associate-%28Full-Stack-Development%29/32474-en_GB/

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 Associate (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
•    Master’s degree in Computer Science, Software Engineering, Engineering or a related technical field, with at least 2 years of relevant work experience.
•    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).

Conduct training needs analysis of the hotel and departments. 

Create the generic training programs for the Hotel such as Orientation and Service Culture…

Set up the whole system of training: standard forms, reporting and filing system, communicating channels, certification, evaluating system, etc. 

Set up the system for skill training, certification and assessment for each department. Manage integration and training of all employees into the Company’s standards. 

Strive to achieve Company objectives and exemplify the Company concepts and culture. 

Maintain compliance with company policies and procedures. 

Report regularly on training and quality related achievement measures and performance. 

Research and recommend emerging training strategies, tools and coursework. 

Work closely with department heads to identify training needs and assist them in setting up the training program for each department. 

Communicate regularly and work cohesively with Director of Marketing, Senior Reservations Manager, Revenue Manager, and Reservation Supervisors to ensure highest level of conversion and sales effectiveness exists. 

Prepare training schedule on monthly basis and communicate with departments to maximize attendance. 

Actively observe and evaluate training activities and make adjustments to ensure the greatest effectiveness of training. 

Set up and develop the network of training facilitators/trainers in departments, equip them with necessary skills to conduct departmental training and assist them in performing their tasks. 

Develop and implement training and related training programs. 

Determine need for additional training modules and develop as necessary. Analyze trends and patterns of service feedback and customer interactions and implement new program based on observations. 

Plan, develop and conduct specialized trainings in the areas of customer service, products, sales, computer systems, and productivity. 

Source and obtain specialist assistance to conduct training when needed. 

Monitor all training activities conducted on and off site. 

Build relationship with hospitality schools or universities locally or internationally to bring the Hotel’s training up to international standards.

Build up a data base of relevant training courses available in the market. 

Administer the training budget and purchase training materials as required. 

Create and administer training certificates for the courses run. 

Monitoring the application of programs trained to ensure all associates use the knowledge they learn in the workplace: grooming standards, safety issues, health care, service standards, etc. 

Train and lead the frontline staff to achieve the highest levels of quality and consistency of customer service. 

Monitor adherence to customer service policies and standards. 

Ensure quality assurance standards are met within all departments through feedback and working sessions with department heads. 

Define performance benchmarks and create a tracking system to continuously assess customer service staff knowledge.

Develop, implement and promote company and department announcements, programs, policies, procedures, processes and promotions.

Identify and develop staff in training: English teacher, training officer. 

Assist in the activities of P&C Department such as recruitment, outsourcing, interviewing, teambuilding activities, outing, etc. 

Actively involved in caring for associates and making proposals for associates’ well-being. Tích cực tham gia vào việc chăm sóc nhân viên và đề xuất kiến nghị cho sự thịnh vượng/hạnh phúc của nhân viên.

Respond to employee requests for statements of service/earnings and take responsibility for other general inquiries. 

Attend meetings as required. 

Carry out any additional duties as requested by the Hotel Management such as Manager on Duty, meetings with local authorities for related matters in training. 

Design and coordinate in internship programs for students.

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-Engineer-%28Wave-Overtopping%29/32491-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This position supports Work Package 1 (WP1) experimental studies of wave overtopping over Singapore-relevant coastal protection structures for local design guidance.

The successful candidate will be required to:

•     Conduct scaled physical model tests at NUS for revetments, promenades, and vertical walls
•     Measure and analyse q, Vmax, flow depth/velocity, crest pressures, and related loads; quantify uncertainty; and derive local   empirical relationships aligned with EurOtop
•     Support WP1 reports/publications and provide validation data and hydraulic inputs to other work packages.

Job Requirements

•    Possess at least a bachelor’s degree in Coastal Engineering, Ocean Engineering, Civil Engineering, Mechanical Engineering, or a closely related discipline.
•    Masters degree will be preferred. 
•    Strong background in physical modelling of coastal/free-surface flows or wave-structure interaction.
•    Experience with hydraulic laboratory experiments, instrumentation, and data analysis.
•    Proficiency in Python, MATLAB, or similar; prior wave overtopping/coastal structures experience is advantageous.
•    Has prior strong publication records and independence.
•    Excellent written and verbal communication skills.
•    Open to fixed-term contract.  

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Digital-Concrete%29/32504-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil & Environmental Engineering (CEE) of the National University of Singapore is hiring one Research Engineer (RE) to assist the Principal Investigator in the research area of digital concrete with a focus on the design, printing, testing. 
 

The RE is required to work on:
(1) Development of durable construction materials from locally available resources for marine applications.
(2) Assessment of environmental impact of the developed concrete mixture.
(3) Evaluation of the service life of the developed durable concrete mixture. 

Job Requirements

·     Possess a bachelor’s degree in civil engineering or mechanical engineering with demonstrated experience in designing and conducting experiments, statistical data analysis and possess excellent quantitative, and analytical skills. 
•    The ideal candidate is expected to be self-motivated and can work in an interdisciplinary environment. 
•    Ability to work with minimal supervision, plan and perform experimental and field work, and present results in group meetings. 
•    Strong written and spoken communication skills. 
•    Prior experience in digital concrete, design, low-carbon concrete is essential to the posted job.  
•    Open to fixed-term contract. 
•    Applications should include (i) a motivation letter, (ii) a detailed Curriculum Vitae, and (iii) contacts of 3 referees. Only shortlisted applicants will be contacted.
•    Open to fixed-term contract

Job duties and responsibilities:

• Design new products and continually improve existing products to meet industry standards and customer requirements.
• Develop technical manuals and Instruction Operating Manuals for products, ensuring accuracy and usability.
• Prepare, review, and verify design drawings, detailed specifications, and fabricated drawings for compliance with technical standards.
• Create Bills of Materials (BOMs) and ensure accurate documentation.
• Order materials and supplies; monitor the progress of fabrication and installation to ensure alignment with design specifications and schedules.
• Perform quality control checks to ensure the integrity of materials, components, and final products.
• Update and maintain design records, project databases, and documentation for traceability and reference.
• Track and coordinate the delivery of goods and materials to meet project timelines.
• Collaborate with cross-functional teams, including procurement, production, and project management, to address technical challenges.
• Provide technical support and guidance to the fabrication and installation teams during project execution.
• Identify opportunities for cost optimization, design innovation, and process improvement.

Job Requirements:

• Degree or Diploma in Mechanical, Precision, Tool, and Die Engineering, or a related field.
• At least 2 years of experience as a Design Engineer.
• Proficiency in drafting software such as AutoCAD, SolidWorks, 3D modeling software, or equivalent.
• Experience in Marine Hydraulic Applications, with knowledge of valves and actuators, as well as gear design (e.g., spur gear, planetary gear, bevel gear).
• Understanding of forging, casting, and precision CNC machining processes.

Responsibilities

• Develop, implement, and validate autonomous berthing algorithms for MASS, integrating vessel manoeuvring models, sensor data, and environmental disturbances (wind, waves, currents).
• Contribute to the simulation and digital twin platforms for autonomous berthing operations, including real-time control system integration.
• Support physical model-scale experiments in the TCOMS ocean basin, focusing on berthing manoeuvres and control refinement.
• Collaborate with industry partners, and technology providers to address operational, safety, and regulatory requirements for autonomous berthing.
• Participate in preparing project deliverables, proposals, and publications under funded research programmes.
• Perform other tasks as assigned by the supervisor.

Requirements

• Bachelor/Master in Naval Architecture, Maritime Engineering, or related field.
• Experience in autonomous vessel control, motion planning, and manoeuvring dynamics with constrained environments.
• Strong programming skills in MATLAB/Simulink, Python, or C++, with exposure to real-time control.
• Strong analytical ability, creativity, and interest in real-world R&D challenges.
• Good teamwork and communication skills to engage with multidisciplinary stakeholders.
• Independent, resourceful, and able to deliver under tight schedules.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Responsibilities:

1. Training Delivery, Facilitation & Program Ownership

• Operational & Systems Oversight: Oversee the complete operational lifecycle of training programs by coordinating end-to-end logistics—including venue management, materials preparation, and scheduling—to ensure seamless execution with minimal business disruption. This includes managing the Learning Management System (LMS) and enrolment data to provide audit-ready reporting.

• Facilitation: Facilitate and deliver engaging, interactive trainingsessions, both in-person and virtually, to staff and managers at all levels. Act as the lead trainer and subject matter expert for the following core programs:

o   Performance Management:Coaching on goal setting, effective feedback, development planning, and conducting formal reviews.

o   Mindset & Culture:Delivering foundational programs on the Outward Mindset and reinforcing organizational values.

o   Service Excellence:Designing and delivering programs to enhance customer service skills, manage difficult interactions, and promote a customer-centric culture.

o   HR & Compliance:Facilitating awareness sessions on company policies, professionalism, and organizational compliance procedures.

• Program Assessment and Improvement: Collecting and analysing post-training feedback to measure the effective transfer of knowledge and skills. Conduct regular audits and curriculum refreshes to ensure all training materials remain accurate, relevant, and aligned with evolving business objectives and industry best practices.

2. Talent Management

• Talent Review Cycle:
  Oversee the end-to-end Talent Management process, including the identification, utilizing the 9-box grid and assessment of high-potential employees

• Succession Support:Support the Talent Review cycle to ensure a pipeline for future leadership needs

3. Employee Engagement 

• Data Interpretation:
  Work with the HR team to analyse results from the Employee Engagement Survey.

• Consulting & Action Planning:
  Meet with departmental managers and leaders to review their specific engagement data, help them diagnose root causes of low engagement, and co-create tailored departmental action plans.

• Employee Engagement events: Planning and execution of internal developmental engagement events.

Job Specifications:

• Bachelor’s degree in Human Resources, Education, or a related field.
• Minimum of 2 to 4 years of dedicated experience as a Corporate Trainer or Learning & Development Facilitator.
• Proven ability to design and deliver engaging training on Service Excellence, Performance Management, and core HR-related topics.
• Exceptional classroom presence, presentation and communication skills.
• Professional certifications in training/assessment (e.g., ACTA, ACLP, or equivalent).
• Certification in or prior experience facilitating a specific behavioural framework like the Outward Mindset (e.g., Arbinger Institute).
• Strong understanding of adult learning principles and instructional design models.
• Candidates with stronger qualifications and relevant experience may be considered for appointment at a more senior level.

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-Engineer-%28Environmental-Microbiology-and-Biotechnology%29/32492-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking for a highly motivated and collaborative Research Engineer with demonstrated skills in environmental engineering, microbiome, and bioinformatics. The position involves developing novel biotechnologies for nutrients removal and pollutants detoxification in bioreactors, engineered systems, waterbodies and the environment, in particular cultivation and characterization of functional microbes, predictive understanding of microbiome dynamics and functioning in engineering systems such as bioreactors in lab and pilot scale. The selected Research Engineer will be responsible for sample collection or management, culturing, microbiome analysis, data processing, integration, etc. He/she will also be encouraged to collaborate with other laboratory members on diverse research projects.

Job Requirements

•    Possess a bachelor’s degree in environmental engineering.
•    Master’s degree is preferred. 
•    At least 3 years’ of relevant working experience  
•    Prior research experience in one or more areas such as environmental microbiology and biotechnology, chemical analysis; 
•    Multidisciplinary knowledge and research experience in engineering, chemical analysis, environmental biotechnology, bioinformatics, statistics, data mining, machine learning.
•    Independent, motivated, resourceful and able to work in a team.
•    Strong written and spoken communication skills. 
•    Excellent quantitative, writing, and presentation skills.
•    Experience in publishing peer-reviewed publications.
•    Demonstrated ability to direct and run independent research project(s).
Experience collaborating with industrial teams.
•    Open to fixed-term contract