Total 17 Junior Executive design engineer job vacancies in Education / Training category in Hong Kong

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-Assistant-%28Spatial-Computing-Developer%29%2C-Division-of-Industrial-Design/33484-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The research assistant will design and develop software applications and content for the Apple Vision Pro in close collaboration with both the principal investigator along with clinical collaborators for deployment as real-world healthcare applications.

Qualifications

Master’s degree in Design or Computer Science

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-Assistant-%28Electronics-Engineer%29/33425-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor system based on Yb-Ba ions emphasizing on the performance rather than on the qubit numbers. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of the cross-section of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration within and outside the country with leading academic and industrial groups within and outside the country. We are looking for talented electrical/electronic engineers to join the team of scientists and engineers working on the next generation of the quantum processor.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills. The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

More Information

For more details please contact: Manas Mukherjee at cqtmukhe@nus.edu.sg

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

Job Purpose

The primary responsibility of this role is to support the implementation, testing, and validation of the high-frequency ultrasound research platform through experimental setup, data acquisition, software development, and day-to-day technical execution of the project.

Key Responsibilities

• Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound structural and functional imaging.
• Support experimental setup, data collection, phantom preparation, system calibration, and routine operation of imaging hardware and associated measurement equipment.
• Conduct bench top and phantom experiments according to defined protocols, and assist in organizing, processing, and documenting experimental data.
• Develop and maintain software scripts, processing pipelines, and visualization tools for imaging experiments and performance evaluation.
• Support system integration activities involving sensors, data acquisition hardware, software interfaces, and computational workflows.
• Help prepare technical documentation, reports, figures, and datasets needed for project reviews, publications, and presentations.
• Maintain laboratory records, inventory, and equipment logs, and support procurement, setup, and troubleshooting of components and consumables.
• Assist in training and supporting students or project users in the use of the developed systems and software.
• Perform other project-related technical duties assigned by the Principal Investigator or senior research staff.

Job Requirements

• MTech, MSc, or equivalent in Electrical Engineering, Biomedical Engineering, Medical Technology, Instrumentation, Computer Engineering, Signal Processing, or a related field.
• Good knowledge of signal processing, imaging, electronics, instrumentation, or medical device-related development.
• Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments.
• Experience in experimental work, data collection, and system troubleshooting is desirable.
• Familiarity with ultrasound imaging, biomedical instrumentation, image processing, or machine learning is desirable.
• Ability to follow technical protocols accurately and to maintain clear documentation of work performed.
• Ability to work effectively both independently and under the guidance of senior researchers.

Key Competencies

• Technical aptitude and practical problem-solving ability.
• Good programming and data handling skills.
• Careful and systematic approach to experiments, testing, and documentation.
• Attention to detail and commitment to data quality and reproducibility.
• Willingness to learn new technical skills and adapt to evolving project needs.
• Good teamwork and communication skills.
• Ability to manage time effectively and support multiple concurrent project activities. 

The School of Art, Design and Media (ADM) at NTU invites applications for a Part-Time Research Assistant to support the CoHASS Research Support Grant project AI and Quantum Visualization: Artistic Dissemination for Public Engagement. Led by A/P Ina Conradi Chavez, the project disseminates interdisciplinary art–science research through international exhibitions, digital platforms, and publications. Works have been presented at Ars Electronica, MEET Milan, and Quantum Perspective at The Arts House, Singapore. This is a hands-on creative dissemination role for a self-driven Visual Communication professional passionate about art–science communication and digital storytelling.

Key Responsibilities:

• Create and manage social media content including reels, graphics, and short-form video across Instagram, LinkedIn, and related platforms

• Develop and maintain the project's visual identity and branding across digital and print touchpoints

• Design exhibition collaterals: posters, brochures, postcards, and catalogue layouts

• Support exhibition curation, installation flow, and event coordination for local and international venues

• Document research outputs and compile archival materials for publication and grant reporting

• Assist with grant workflow administration and preparation of dissemination materials

Job Requirements:

• Bachelor’s in Visual Communication, Graphic Design, Interactive Media, or related field

• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign) or equivalent design tools

• Demonstrated experience in social media content creation and short-form video/reels editing

• Strong visual design sense across digital and print media

• Interest in media art, art–science, or research communication

• Portfolio of design and/or social media work required

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

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-EngineerAssistant-%28Interdisciplinary%29%2C-ChBE/33229-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Positions are available for Research Engineers, Research Assistants, and Ph.D. students in the research group of Prof. Soh Siow Ling, at the Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS).  

The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling is currently greatly under-explored and poorly understood in science. At the same time, the coupling gives rise to many fascinating new natural phenomena for exciting fundamental discoveries and development of impactful and original technologies. 

The general approach of the group is to conduct original programs and new directions of research with strong fundamental science. The group is highly interdisciplinary and involves engineering (e.g., fluid mechanics), materials science, chemistry, and physics. Different organic materials are used, including polymers (e.g., stimuli-responsive polymers), hydrogels, and covalent organic frameworks (COFs). 

One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by solid-liquid charge separation with high energy conversion efficiency. Other projects involve clearing virus-laden atmospheric aerosols and preventing the spread of infectious diseases (e.g., COVID-19) and development of clean surfaces that do not adhere any dust on them. Another research involves stimuli-responsive polymers for small molecular separation, smart delivery, and intelligent soft machines.

A recent exciting and emerging field from our group is the development of novel mechanocatalysts for performing mechanochemical reactions with high energy conversion efficiency. Harvesting energy from mechanical forces of nature (e.g., wind or water flows) is a novel and sustainable approach to performing chemical reactions. 

Qualifications

The ideal candidate is preferably someone open-minded to conducting original fields of research, independent, and hardworking. Because the research of the group is highly interdisciplinary and many projects in different disciplines are ongoing, candidates with a Bachelor’s degree from a wide range of backgrounds will be considered for different projects, including engineering (e.g., chemical, mechanical, etc), materials science, chemistry, and physics.  

For more information on the background of the research, please refer to: https://blog.nus.edu.sg/chessl/

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-Assistant-%28Urban-Analytics-&-Computational-Design%29-1/33178-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Geospatial & Environmental Analytics: Assist in quantifying the built and natural environment using Geographic Information Systems (GIS) and spatial network analyses. Process complex datasets related to urban morphology, microclimate, and social infrastructure.
•    Fieldwork & Data Collection: Conduct on-site microclimate and visual environment audits using portable sensors across selected HDB precincts.
•    Data Processing & Modeling: Utilize scripting languages (Python, MATLAB, R) to analyze large-scale spatial data, integrating environmental metrics with developmental health outcomes
•    Research & Dissemination: Publish findings in high-impact peer-reviewed journals and present at international conferences.
•    Contribute to policy briefs, technical reports, and outreach materials for industry and government stakeholders.
•    Stakeholder Engagement & Coordination: Coordinate with project partners, government agencies, and industry stakeholders, including organising and participating in meetings, workshops, and knowledge-sharing sessions.

Qualifications

Essential:
•    Bachelor’s degree in Urban Science/Analytics, Computational Biology, Environmental Systems, Data Science, Digital Humanities, or a closely related field.
•    Proven proficiency in computational programming and data analysis (Python, MATLAB, R, C++).
•    Demonstrated experience with CAD or geospatial analysis software (e.g., QGIS, ENVI). Familiarity with 3D computational modeling tools (e.g., Rhino3D)  and the ability to adapt to parametric design software (e.g., Rhino/Grasshopper).
•    Strong portfolio or proven experience in data visualization, UI/UX design, and digital media utilizing the Adobe Creative Suite (Illustrator, Photoshop, After Effects).

Research assistant in “Quantum sensing engineer”

The Nanyang Quantum Solutions team led by Prof. Marek Gluza at NTU Singapore is seeking a new member to propose new engineering solutions for table top setup prototyping the translation of dynamic quantum algorithms such as double-bracket algorithmic cooling to applications in quantum sensing using NV centers.

With whom? With Prof. Marek Gluza at NTU Singapore who is eager to debate with you whether NMR-type readout will be sufficient for the technological applications we have in mind. 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:

• Propose feasibility and cost analysis of a table top NV center readout setup using commercially available lasers and microwave resonators.

• Propose readout solutions and techniques for quantum sensor use in material science fabrication pipelines.

• Translate dynamic quantum algorithms such as double-bracket agorithmic cooling into actionable protocols in NV center ensembles.

Job Requirements:

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

• Knowledge in engineering, e.g. laser, mechanical or electrical engineering

• Excellent written and oral communication skills

• Proficiency in Ansys and related packages

• 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.

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.

Research Assistant/Associate (Community Innovation and Applied Social Research)

The Lee Kuan Yew Centre for Innovative Cities (LKYCIC) at the Singapore University of Technology and Design(SUTD) invites applications for full-time Research Assistant/Associate appointments to support applied research and innovation projects on people, communities, and cities.

The position is suited for candidates with strong interests in mixed-methods social science research, social policy innovation, community development, and translating research into real-world impact. The successful applicant will join an interdisciplinary teamworking at the intersection of behavioural science, urban planning, public health, sustainability, and community activation.

About the role

The successful candidate will contribute to projects in LKYCIC focusing on understanding how social and built environments shape individual and community outcomes, and how research can be translated into practical interventions, programmes, policies, and design solutions.

Current and upcoming projects include:

• Social capital and community resilience in neighbourhoods and community hubs
• Climate adaptation, urban heat resilience, and sustainable living
• Community activation and citizen engagement initiatives
•  Population health and healthy neighbourhoods
• Design and evaluation of community-based interventions
• Development of practical tools, frameworks, and guidelines for policymakers and practitioners

Projects typically involve a combination of surveys, interviews, focus groups, behavioural observations, workshops, participatory design activities, and field-based research conducted in partnership with government agencies, community organisations, industry partners, and residents. Depending on the project, researchers may also have opportunities to work with digital platforms, spatial data, and emerging AI-enabled tools that support research, community engagement, programme design, and policy innovation.

Key responsibilities

The candidate will be expected to:

• Support the design and implementation of mixed-methods research studies
• Conduct literature reviews and evidence synthesis
• Design and administer surveys, interviews, focus groups, and workshops
• Conduct field observations and community-based data collection
• Analyse qualitative and quantitative data using appropriate methods and software
• Assist in stakeholder engagement, participatory design, and community activation activities
• Support project management, coordination, and reporting
• Prepare research reports, policy briefs, presentations, and academic manuscripts
• Contribute to the translation of research findings into practical recommendations, interventions, and tools
• Work collaboratively with interdisciplinary researchers and external partners

The Centre may, at its discretion, assign additional responsibilities from time to time, such as teaching or other duties aligned with the Centre’s needs.

Skills and qualifications required

• Bachelor’s or postgraduate degree (MA, MSc, March, MPP or equivalent) in sociology, public policy, geography, urban studies, architecture, public health, psychology, community development, social work, behavioural science, environmental studies, or related disciplines
• ⁠Demonstrated interest in applied social science research, real-world impact, and the translation of research into practical interventions, programmes, policies, or design solutions
• Experience with qualitative and/or quantitative research methods, including survey design, interviews, focus groups, observations, workshops, or field-based research
• Strong analytical, organisational, and problem-solving skills, with the ability to exercise good judgement and initiative in complex real-world settings
• Strong written and verbal communication skills, including the ability to present research insights clearly to academic, policy, practitioner, and community audiences
• Ability to work independently while contributing effectively within interdisciplinary and partner-facing teams
• Interest in community engagement, social innovation, urban issues, sustainability, public health, and/or policy development
• Adaptability and willingness to learn new methods, tools, and approaches, including digital platforms, spatial data, or AI-enabled research tools where relevant

The following would be advantageous:

• Experience conducting fieldwork and community-based research
• Experiencein programme evaluation, policy analysis, or participatory research

How to apply

Interested applicants are encouraged to send their application with the subject heading “ResearchAssistant/Associate (Community Innovation and Applied Social Research)” to lkycic@sutd.edu.sg with the following:

• Cover letter explaining your interest in the position and addressing the qualifications and skills requirements (maximum 1 page)
• Curriculum vitae
• Two writingsample (e.g., thesis, report, publication, policy brief, or research paper)
• Names and contact details of three referees who may be contacted for a reference

We regret that only shortlisted candidates will be notified. Applications will be reviewed on a rolling basis and will continue until the position is filled.

Job Title: Research Technician/Assistant (Sputtering Systems)

About Us
We are an early-stage venture team developing advanced thin film materials and deposition workflow technologies for applications in optics, photonics, and memory. Our work focuses on high quality coatings and process development using sputtering-based techniques.

Role Overview
We are looking for a hands-on and reliable research technician to operate and manage our sputtering system, support day-to-day experimental work, and ensure smooth lab operations. This role is critical in enabling consistent thin film deposition for internal R&D and external projects.

Key Responsibilities
• Operate and manage a sputtering system (e.g. AJA International sputtering system) independently
• Perform thin film deposition for various projects and customer requirements
• Execute day-to-day experiments following defined process parameters and protocols
• Troubleshoot equipment issues and process deviations
• Perform basic maintenance and minor repairs, including vacuum systems (pumps, leak checks, seals), gas lines and plumbing and electrical connections and wiring
• Support process optimization and data collection
• Maintain proper documentation of experiments, parameters, and results
• Ensure safe operation of equipment and adherence to lab safety protocols

Requirements• Minimum Diploma in Engineering (Materials Science, Electrical, Mechanical, or related field)
• Prior experience operating sputtering or vacuum deposition systems is strongly preferred
• Familiarity with vacuum systems, gas handling, and thin film processes
• Hands-on experience with basic troubleshooting and maintenance
• Comfortable working with electrical systems, plumbing / gas lines, mechanical components
• Ability to work independently and take ownership of equipment and processes

Preferred Qualifications (Nice to Have)• Experience with sputtering systems or similar PVD tools
• Background in thin film characterization or materials processing
• Experience in a research lab or cleanroom environment

What We’re Looking For• Practical, hands-on problem solver
• Detail-oriented and reliable
• Able to run experiments independently
• Comfortable working in a startup environment (flexible, fast-paced)

Why Join Us• Opportunity to work on cutting-edge materials and technologies
• High ownership and impact in a growing startup
• Exposure to both research and real-world applications

Location: Singapore (SUTD campus, with potential access to shared/collaborators’ lab facilities)

About the Job

We are in search of a highly motivated and accomplished Research Assistant to join our team and significantly contribute to our ongoing research project "Understanding and Generating Interleaved Image-Text Persuasion". The successful candidate will collaborate closely with our research team, working on the development of multimodal AI. This role offers an exciting opportunity to engage in cutting-edge research in multimodal learning and have a substantial influence on the field.

What You’ll Do

• Conduct literature reviews on multimodal persuasion, visual communication, and the evaluation of large vision-language models.
• Support the design and development of datasets and evaluation frameworks for understanding interactions between images and text.
• Assist in evaluating and enhancing multimodal models for analysing and generating interleaved image-text content
• Summarize experimental results and contribute to the preparation of research reports, presentations, and academic publications.

Who We’re Looking For

• Bachelor degree with background in computer science, data science, artificial intelligence, or a related field.
• Strong interest in multimodal AI, vision-language models.
• Basic experience with Python and machine learning frameworks such as PyTorch is preferred.
• Familiarity with natural language processing, computer vision, or large language models is an advantage.
• Good analytical, communication, and organizational skills.
• Ability to work independently while collaborating effectively with a research team.

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-Assistant-%28Sustainable-Design%29/32638-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistant will contribute to the development of a focused research study that builds on prior exploratory work and advances new lines of inquiry. The role involves synthesising existing material, extending analysis through targeted investigation, and working closely with supervisors to refine frameworks, arguments, and outputs into a coherent final report.

Qualifications

•    The applicant should have a background in architecture and/or urban design/ urban planning.
•    The applicant should have completed graduate studies (i.e both Bachelors and Masters)

•    The applicant should have previous experience of 1-2 years in the field of design/ planning / research.

•    The applicant should demonstrate strong design and research capabilities, with an ability to link architectural form to broader urban, environmental, and infrastructural systems

•    The applicant  should have a working understanding of carbon in the built environment, including its estimation and representation across scales.
•    The applicant should be proficient in synthesising complex information into clear insights, with strengths in analytical thinking, writing, and visual communication.

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.