Total 2,232 Science / R&D / Research job vacancies in Overseas

Vaster Learning Pte Ltd, situated in the bustling business area of Novena, has emerged as a leader in providing both online and offline classes in a variety of subjects. By winning the support of many parents, it has gained tremendous recognition among the students. Our teachers are dedicated and have worked closely with our students to achieve their academic goals. We aim at providing excellence in educational services.

Responsibilities

· Conduct 1-to-1 online/offline (@Novena) lessons

· Conduct group online/offline (@Novena) classes

· Create an engaging learning experience for students

· Inspire and motivate students to excel in attaining their objectives for having tuition classes: be it exam preparation and academic improvement

· Monitor learning progress and periodical exams

· Prepare and deliver lessons that facilitate active learning experiences

· Communicate clear objectives for students learning activities

 Requirements:

· A good Diploma/Degree in Science (Chemistry/Biology)

· Familiar with IB programme

· Passionate in teaching and inspiring teenagers

· High level of professional integrity and good work ethic

· A team player and a self-starter, open to feedback and willing to take on new challenges.

· Flexible, able to manage change and ambiguity well and able to work under tight deadlines.

· Relevant teaching experience (preferred)

· Adept in learning new educational tools and software where necessary

· Able to work on evenings and weekends

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• A key member of the development team, building and enhancing key components for QRT
• A role with the potential to touch many aspects of electronic and algorithmic trading, backtesting, and data management systems
• Working with traders and quants to roll-out, support and run strategies
• Building and supporting new quantitative trading framework software
• Designing clean architecture and leveraging state of the art tools and components
• Bringing new ideas and experimenting with new technologies

Your present skillset

• 1-9 years’ professional experience
• Advanced skills in one or several programming languages
• Strong Python skills
• Very high standards in code quality and good development practices
• Knowledge of real-time systems, high performance computing and quantitative applications an advantage
• Strong team-player
• Experience working within a mature CI/CD process, DevOps experience
• Strong communication skills
• C++ or C# experience would be an asset

You will be part of the research team under the Heart Protection theme at the National Heart Research Institute of Singapore (NHRIS), National Heart Centre of Singapore (NHCS), dedicated to developing innovative strategies to prevent and treat heart injury. Our multidisciplinary group integrates cardiovascular biology, nanotechnology, drug delivery, disease modelling, and translational science, collaborating closely with clinicians, engineers, and scientists across NHCS and Duke–NUS to accelerate the development of therapies from bench to bedside. Our team culture values rigour, teamwork, innovation, and translational impact, offering a dynamic environment for scientific growth.

You will support ongoing research projects in therapeutic development and contribute to a range of molecular experiments and formulation work, including RNA synthesis, modification, and purification, as well as the preparation and optimisation oflipid nanoparticles (LNPs) and other delivery formulations. You will also conduct in vitro assays encompassing cell culture, molecular analysis, and characterisation, alongside in vivo validation work.

Beyond experimental responsibilities, you will maintain accurate laboratory records and ensure proper documentation throughout. You will support general lab operations — including reagent preparation, equipment maintenance, and purchasing — while working collaboratively as part of a multidisciplinary team.

Jobrequirements:

• Bachelor’s degree in chemistry/ Materials Science, Molecular Biology, Biomedical Science, or related fields

• At least 2 years’ experience either in RNA therapeutics/ RNA synthesis/ RNA biology, or in Chemical synthesis/ LNP delivery

• Strong hands-on laboratory skills and experimental troubleshooting ability

• Good communication and organisational skills

• Documented proof of:

(i) Measles (or MMR - Mumps, Measles and Rubella) vaccination or serological evidence of measles immunity; and

(ii) Tdap (Tetanus, Diphtheria and Pertussis) vaccination received within the last 10 years, as required for all healthcare workers under the Healthcare Services Act. Applicants without these vaccinations may apply if they commit to completing the required vaccination(s) before work commencement, upon successful job offer.

Job Description

• Ensures proper investigational product (IP) management which includes sourcing, receipt, storage, preparation, dispensing, labelling, inventory accountability, reconciliation, retention, destruction and documentation according to the study protocol

• Assists Clinical Research Technologists in maintaining proper functioning of all pharmacy equipment.

• Reviews and provides feedback during protocol development where applicable

• Reviews and updates Pharmacy local standard operation procedures as appropriate

• Provides coaching to Locum Pharmacists and Pharmacy Technicians/Assistants as needed on IP management and aseptic compounding

Requirements

• Singapore Registered Pharmacist

• Previous Hospital Pharmacy Experience

• Experience in working in cleanroom or manufacturing setting

• General GMP and GDP knowledge

Interested candidates please send in your resume to:

clinicalresearch@recruitexpress.com.sg

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Salary: up to $2400

Duration: 1 year
Working Days & Hours: Mon-Fri Office Hours

Location: Tuas

Job Description:
(a) Manages delivery of laboratory supplies (consumables, chemicals, and reagents) from Suppliers and to Customer’s stockrooms and points-of-use accordingly.

(b) Perform goods receipt in Enterprise Resource Planning (ERP) systems upon receiving of these laboratory supplies

(c) Be reactive to stock level adjustment and provide communication/feedback to customer based on usage and replenishment data to keep stock level updated.

(d) Stock check inventory supply ensuring products are not expired and at recommended stock level.

(e) Perform reliable delivery to customers at their working areas.

(f) Providing other site support inventory management services which support the laboratory operation as defined by service deliverables to customers.

(g) Ensure good housekeeping around the stockroom and point-of-use areas.

Job Requirements: Min Diploma/Degree in Logistics/Supply Chain/Business or similar w min 2 yrs of relevant experience in cold room, preferably in pharmaceutical industries

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

Job Description

The AI Research Scientist will contribute to clinical foundation model workstream for primary-care decision support. The role will focus on adapting open and/or institutionally approved foundation models to Singapore primary-care use cases, such as hypertension and cardiometabolic-renal multimorbidity scenarios involving diabetes, dyslipidaemia, CKD risk, medication burden, preventive care and follow-up planning.

The scientist will prepare structured training and evaluation data from clinical vignettes, synthetic cases, guideline-grounded Q&A, and eHINTS-like longitudinal data extracts where available. The role will support supervised fine-tuning, reinforcement learning or preference alignment experiments, and model evaluation against clinical templates, guideline compliance, safety constraints and usability requirements.

Key Responsibilities

• Prepare model-ready datasets from clinical vignettes, synthetic consultation cases, longitudinal records and guideline-derived tasks.
• Develop and run fine-tuning, instruction-tuning, preference-alignment and/or retrieval-augmented generation experiments for GP-oriented clinical tasks.
• Implement evaluation scripts for guideline adherence, factuality, safety alerts, medication recommendations, missing-data handling and structured output quality.
• Support multimodal and longitudinal data modelling where patient histories, lab trends, medications, notes and care plans need to be represented over time.
• Work with clinical collaborators to translate hypertension and multimorbidity requirements into model tasks, prompts, labels and acceptance criteria.
• Document experiments, datasets, model cards, limitations and reproducibility steps for internal review.

Required Qualifications and Skills

• PhD Degree in computer science, AI, biomedical informatics, computational science, data science or a related quantitative field.
• Hands-on experience with Python and modern deep-learning frameworks such as PyTorch, Hugging Face Transformers, vLLM or equivalent.
• Working knowledge of LLM fine-tuning, prompt engineering, retrieval-augmented generation, evaluation pipelines and reproducible ML experimentation.
• Ability to process structured and unstructured clinical data safely, including tabular records, notes, medications, lab values and guideline documents.
• Good understanding of model evaluation, error analysis, data quality control and responsible AI practices in healthcare or other high-stakes domains.

Preferred Experience

• Experience with clinical NLP, medical LLMs, healthcare datasets, FHIR/EMR-style data, or guideline-based decision support.
• Experience building synthetic data, simulation-based cases, or benchmark datasets for healthcare AI.
• Familiarity with primary-care chronic disease management, especially hypertension, diabetes, lipids, CKD risk and medication safety.
• Experience with GPU-based model training, experiment tracking, and deployment-oriented inference optimization. 

Job Summary

About Us

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs), agentic AI and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health. We are looking for AI (Senior)Scientist strong applied AI skills ready to build large-scale systems, and you will contribute to innovations that make real impact in healthcare.

Key Responsibilities

• Research & DevelopmentDevelop novel architectures, training strategies, and optimization methods for LLMs, agentic AI, vision foundation model and multimodal foundation models.Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.
• Translation & CollaborationPrototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.
• Scientific LeadershipPublish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).Contribute to open science initiatives (datasets, model releases, benchmarks).Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Qualifications

Minimum Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, vision foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.

Preferred Qualifications

• Experience in large-scale LLM and/or foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

What We Offer

• Opportunity to push the frontiers of AI research while delivering real-world healthcare impact.
• A multidisciplinary environment with leading AI scientists, clinicians, and industry partners.
• Access to large-scale compute resources and unique biomedical datasets.
• Support for publications, conference participation, and translational pathways including licensing and spin-offs.

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Senior Research Scientist to conduct cutting-edge research in Artificial Intelligence and Machine Learning, with a focus on advancing AI-driven scientific discovery across healthcare, life sciences, biology, and biomedical research.

The successful candidate will lead the development of next-generation AI technologies, including foundation models, multimodal learning systems, scientific machine learning, generative AI, and agentic AI systems that accelerate scientific discovery and translate research innovations into real-world impact.

Key Responsibilities

Research & Innovation

• Develop AI models and platforms that accelerate discovery in healthcare, life sciences, and biomedical research.
• Advance foundation models that learn from large-scale biological, clinical, molecular, and scientific datasets.
• Develop AI systems for:
• Multi-omics analysis
• Drug discovery and therapeutic development
• Precision medicine
• Biomarker discovery
• Disease prediction and prognosis
• Scientific knowledge extraction and reasoning
• Build agentic AI systems capable of hypothesis generation, experiment design, scientific reasoning, and autonomous discovery.
• Develop methodologies that integrate experimental data, simulations, scientific literature, and domain knowledge to support scientific decision-making and discovery.

• Collaborate with clinicians, biologists, healthcare researchers, and domain scientists to translate AI innovations into real-world applications.
• Drive the development of reusable AI platforms, foundation models, and scientific discovery systems.
• Contribute to technology transfer, intellectual property generation, and commercialization opportunities.
• Lead collaborations with academic institutions, healthcare organizations, government agencies, and industry partners.

Scientific Leadership

• Publish high-impact research in leading AI, machine learning, healthcare, and scientific journals and conferences.
• Contribute to grant proposals, project planning, and strategic research initiatives.
• Mentor junior researchers, engineers, and students.
• Represent IHPC in collaborations with academic, healthcare, government, and industry partners.

Requirements

Essential

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computational Biology, Biomedical Engineering, Computer Engineering, or a related discipline.
• Strong track record in AI/ML research demonstrated through publications, patents, or impactful projects.
• Strong programming skills in Python and modern machine learning frameworks such as PyTorch or TensorFlow.
• Experience developing and evaluating machine learning and deep learning models.
• Experience working with large-scale datasets and computational infrastructure.
• Strong interest in applying AI to scientific discovery, healthcare, and life science challenges.

Preferred

• Experience in one or more of the following areas:Foundation Models for ScienceComputational Biology and Multi-OmicsDrug Discovery and Molecular ModelingBiomedical AIPrecision MedicineScientific Knowledge GraphsScientific Reasoning and Agentic AI SystemsHealthcare AI and Clinical Decision SupportGenerative AI for Scientific Discovery

What We Offer

• Opportunity to work on nationally significant AI for Science, Healthcare, and Life Sciences initiatives.
• Access to world-class computational infrastructure, large-scale scientific datasets, and advanced research facilities.
• Collaboration with leading AI researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting both fundamental AI research and translational impact.
• Opportunities to shape the future of AI-driven scientific discovery and healthcare innovation.

Job Summary

Role Overview

You will lead the institute’s efforts to identify emerging technology trends, market opportunities, and ecosystem shifts. In this role, you will oversee technology and market intelligence, assess the institute’s strengths against external opportunities, and shape clear recommendations on where to build, partner, or step back.

Key Responsibilities

• Oversee market and technology sensing to identify emerging trends, industry shifts, policy changes, and partnership opportunities.
• Lead technology intelligence — assessing emerging scientific areas, technical trajectories, maturity, standards, and competitive activity.
• Lead market intelligence — assessing industry needs, adoption barriers, value pools, investment trends, and partnership opportunities.
• Map the institute’s research strengths, platforms, talent, and partnerships against emerging opportunities.
• Develop clear recommendations on where to build, deepen, partner, or deprioritise capabilities.
• Build and lead a high-performance, engaged, multi-disciplinary team.

Requirements

• Advanced degree in science, engineering, or a related field. Postgraduate training is advantageous.
• Strong experience in market intelligence, technology intelligence, technology strategy, foresight, consulting, or innovation management.
• Ability to assess technology maturity, market opportunities, industry demand, competitive activity, and ecosystem developments.
• Strong analytical and communication skills, with the ability to turn intelligence into actionable strategic recommendations.
• High proficiency with Generative AI tools will be an advantage.

Career Growth & Impact

• Be the first to see what’s next. You will lead intelligence efforts across emerging technologies — from generative AI to quantum computing and green energy — with direct access to world-class researchers and labs.
• Build an unrivalled professional network. You will engage regularly with industry leaders, startups, government agencies, and international research partners.
• Turn insights into action. Your recommendations will directly determine where the organisation builds, partners, or steps back — a rare level of strategic influence for an intelligence role.
• Open doors across industries. This role is a springboard into technology strategy, corporate development, venture capital, or innovation policy.

Kickstart your professional journey with an exciting opportunity to gain hands-on exposure in healthcare research, business development, and market analysis. This role offers valuable experience working on meaningful projects while developing analytical, communication, and presentation skills in a dynamic healthcare environment.

Key Responsibilities

• Support research and business development initiatives through data gathering, analysis, and reporting
• Conduct market research, literature reviews, and information sourcing to support ongoing projects
• Compile, organise, and present research findings in clear and structured formats
• Assist with data management, statistical compilation, and preparation of reports and presentations
• Analyse trends, insights, and relevant information to support decision-making processes
• Collaborate with team members on project assignments and contribute ideas for process improvements
• Utilise digital tools and software applications to manage data and enhance project outcomes

Requirements

• GCE 'A' Levels, Diploma, or higher qualification
• Strong interest in healthcare, life sciences, business development, or market research
• Proficient in Microsoft Office applications, including Excel, Word, and PowerPoint
• Analytical, detail-oriented, and eager to learn
• Strong communication and organisational skills
• Able to work independently and collaboratively in a fast-paced environment
• Comprehensive training and guidance will be provided

Interested applicants are invited to submit their updated resume to careerwithus@recruitexpress.com.sg with the subject header "Business Development & Healthcare Research Intern".

Leon Leong De Cong
R1551708
Recruit Express Pte Ltd
EA License No. 99C4599

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, we are committed to improve global heath through cutting- edge science and a passion of excellence. We continuously aim to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recyclingantibody®, sweeping antibody®, bispecific antibody to address unmet medicalneeds and deliver innovative therapeutics to patients globally.

Position – Senior Scientist in Pharmacology Unit

CPR is seeking a highly motivated and scientifically rigorous Pharmacologist who is passionate about generating innovative ideas and translating disease biology into impactful therapeutics for patients with unmet medical needs.

You bring strong expertise in both in vitro and in vivo pharmacology to drive target validation and antibody-based drug discovery. Reporting to the Research Manager, you will lead defined studies and workstreams and participate in cross-functional discussions to advance projects across the discovery pipeline.

Key Responsibilities:

·      Design, plan, and oversee in vitro and/or in vivo pharmacology studies to assess efficacy, establish mechanism of action.

·      Develop and optimize screening strategies and functional assays for antibody programs.

·      Analyze, interpret, and clearly communicate data; deliver reports and presentations to inform project decisions and go/no-go milestones.

·      Mentor junior scientists/research associates; foster scientific rigor and a collaborative culture.

·      Propose innovative hypotheses and new project concepts

·      Prepare scientific publications and patent applications in collaboration with cross-functional teams

Required Qualifications:

·       Ph.D. in Pharmacology, Life Sciences, or a related scientific field with 0 – 3+ years of relevant industry or research experience, preferably in a pharmaceutical or biomedical research environment

·      Strong foundation in molecular and cell biology, demonstrated through research outputs (e.g., presentations or peer-reviewed publications)

·      Hands-on expertise designing, planning, and analyzing in vitro and/or in vivo pharmacology studies

·       Strong critical thinking and problem-solving skills with the ability to interpret complex datasets and generate actionable insights.

·      Effective communication and collaboration skills, with the ability to contribute to project outcomes in cross-functional teams

Preferred Qualifications:

·      Post‑PhD industry or postdoctoral experience in drug discovery with demonstrated contributions to target validation, screening strategy, or lead identification.

·      Experience independently driving in vitro and/or in vivo studies; track record of delivering decision‑enabling data(e.g., internal milestones, publications, or patents).

·       Experience in translational pharmacology, including linking mechanistic findings to disease-relevant models

·       Experience working in cross-functional drug discovery teams (e.g., biology, antibody engineering, DMPK)

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

Job Purpose

We are a multi-disciplinary design team that uncovers opportunities and challenges others overlook, solving them with bold, unconventional solutions powered by deep technology. Through compelling storytelling and stunning product visuals, we bring complex technologies to life, making them accessible, desirable, and easy to adopt. We don't just showcase technology, we champion it. Acting as the bridge between cutting-edge innovation and real-world customers, we translate technical complexity into clear, human-centred narratives that spark curiosity, accelerate understanding, and inspire action.

Key Responsibilities

• Lead end-to-end design processes, from user research and ideation to wireframing, prototyping, and high-fidelity UI design
• Conduct user research, usability testing, and interviews to uncover insights that inform design decisions
• Produce high quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes.
• Support the design and development of physical products from early concept through to final production
• Present designs to customers, develop and iterate designs through sketches, prototypes, renderings and communicate with stakeholders.
• Work on projects that spread across product development, print, packaging, video storytelling, brand identity, and interactive projects for screens, devices, and space.
• Build physical and digital models and prototypes to explore and validate design directions.
• Align with proposed design direction and bring in the voice and emotion to the project through thoughtful features and initiatives.
• Bring both a strategic eye and a depth of craft in brand and communications design to the project teams.
• Provide advice and guidance on the implementation of UI/UX research methodologies and instil inspiration into the organization and our partners.
• Assist in creating prototypes of different levels of fidelity to help enhance the design direction for a project. Applied Research and Innovation

Job Requirements

• Minimum 2 years of experience in Industrial design or UI/UX design, with a strong portfolio demonstrating end-to-end design thinking
• Degree in Industrial Design, Product Design, Interactive Design or related field.
• Solid understanding of user-centered design principles, interaction design, and visual design fundamentals
• A collaborative mindset with the ability to give and receive constructive feedback
• Experience working within agile or iterative product development environments is a plus
• Proficiency in design tools such as Figma, Adobe XD, or equivalent
• Proficiency in CAD software such as SolidWorks, Rhino, or Fusion 360
• Familiarity with rendering tools such as KeyShot, Blender, or similar.
• Ability to spark ideas and generate fresh concepts and inspire peers.
• High proficiency in Adobe Photoshop, Illustrator and other Adobe Suite Tools.
• Excellent drawing skills with a creative mind to bring new perspectives to the design.

Job scope:

- Wash apparatus 

- Check equipment

- Maintain general cleanliness of the labs

- Any other duties assigned by the Lab Technologists.

Working hours:

Monday to Thursday: 7.30 am to 5 pm; Friday: 7.30 am to 4.30 pm

Contract start & end date: 03 Aug to 17 Sep 2026

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Mathematics%29/33402-en_GB/?st=27EA650B338B5E357BE8807DDBD8CC0F4FE85C73

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. BAO Weizhu and his research group at NUS on modeling and simulation for semiconductor devises and scientific machine learning methods for PDEs arising from emerging applications.

The main responsibilities of the position include working with the PI and his research group on developing and analyzing efficient and accurate numerical methods for partial differential equations and related problems from different applications including semiconductor devices.

Qualifications / Discipline:  
•    PhD in Mathematics or applied science or equivalent

Skills:  
•    Modelling and simulation, computational science and engineering, scientific machine learning, etc. 

Experience:   
•    Research experience in modelling and simulation, and computational science and engineering including semiconductor devices.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Quantum-Engineering%29/33413-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Fellow to join our growing team developing next-generation electrical interfaces to diamond quantum sensors based on nitrogen-vacancy (NV) centers. The successful candidate will lead efforts to develop novel electrical readout, control, and sensing architectures that complement or potentially replace conventional optical detection methods.

The research will combine semiconductor device physics, quantum sensing, spin-dependent transport, and diamond electronics, with opportunities to explore hybrid platforms involving two-dimensional materials, field-effect devices, and advanced electrical detection techniques.

Key Responsibilities

•    Electrical interfaces for diamond quantum systems: Lead efforts to develop and optimize electrical approaches for detecting and controlling NV-center spin and charge states, including device design, fabrication, and characterization.
•    Semiconductor device architectures: Explore p-i-n, Schottky, field-effect, and related device structures for integrating diamond defects with electrical readout and control platforms.
•    Spin-dependent transport and recombination: Investigate spin-dependent electrical, optical, and recombination processes in diamond and related defect systems for quantum sensing applications.
•    Diamond–hybrid devices: Develop hybrid device architectures incorporating diamond with novel and/or CMOS-compatible materials, including graphene, silicon nitride, or other functional layers for electrical transduction.
•    Device modelling and simulation: Model carrier transport, charge-state dynamics, photoelectric processes, recombination pathways, and electrostatic device behaviour to guide experiments and optimize device performance.
•    Team collaboration and mentorship: Work closely with PhD students, research engineers, and undergraduate researchers while contributing to the growth of a multidisciplinary research programme.
•    Cross-disciplinary exploration: Engage with applications spanning quantum sensing, integrated electronics, semiconductor diagnostics, quantum materials, and bioelectronic sensing.

What We Offer
•    Opportunity to pioneer new approaches to electrical quantum sensing and spin-based technologies in diamond.
•    Access to state-of-the-art facilities for diamond characterization, device fabrication, optics, microwave engineering, and electrical measurements.
•    Freedom to pursue ambitious and innovative research directions at the intersection of quantum technology, semiconductor electronics, and advanced sensing.
•    Participation in building a new research programme from the ground up, with significant opportunities for intellectual leadership, technology development, and independent project ownership.
•    Strong emphasis on translation beyond academic publications, including the development of enabling technologies, prototype systems, intellectual property, and real-world sensing applications.
•    Opportunities to contribute to patent generation, technology commercialization, industry partnerships, and potential future spin-out ventures arising from the research.
•    Exposure to a broad range of application areas, including semiconductor diagnostics, advanced manufacturing, quantum instrumentation, materials characterization, healthcare technologies, and next-generation sensing systems.
•    Collaboration with experts across quantum sensing, nanofabrication, semiconductor devices, materials science, photonics, and engineering.
•    Strong support for publishing impactful research while simultaneously pursuing technologies that can deliver tangible scientific, industrial, and societal benefits.

Job Requirements

Job Requirements
•    PhD in Physics, Electrical Engineering, Materials Science, Applied Physics, or a closely related field.
•    Strong background in one or more of the following:
     o   Semiconductor device physics
     o   Quantum sensing or spin physics
     o   Diamond defects and color centers
     o   Electronic transport measurements
     o   Semiconductor characterization techniques
•    Experience with electrical device fabrication and characterization, including Schottky diodes, p-i-n structures, FETs, or related semiconductor devices.
•    Familiarity with low-noise electrical measurements, RF electronics, lock-in techniques, impedance spectroscopy, capacitance measurements, or microwave spin-resonance methods.
•    Experience with carrier transport simulations, semiconductor modelling, finite-element analysis, or device design tools is advantageous.
•    Knowledge of NV centers, spin-dependent recombination, charge-state physics, PDMR, ODMR, or related quantum defect systems is desirable but not strictly required.
•    Experience with graphene, hBN, other two-dimensional materials, or hybrid quantum-semiconductor devices would be highly advantageous.
•    Strong publication record, scientific communication skills, and ability to work independently while contributing effectively within a collaborative team.
•    Open to Fixed Term Contract.