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Salary range: £37694 - £46049 \n FTE: I (35 hours per week) \n Contract type: Fixed Term (24 months) \n Closing date: 02/03/2026 \n \n Department of Electronic & Electrical Engineering \n The advertised position will be primarily focused on the Frontiers in Electromagnetic Non-Destructive Evaluation (NDE) Research (FENDER) project, which involves several universities and 20+ companies. FENDER aims to bring game-changing ideas to electromagnetic non-destructive evaluation by harnessing advances in electronics, signal processing, modelling, and data science, positioning electromagnetic sensing at the heart of future Industry 4.0 manufacturing, advanced materials processing, and circular-economy technologies. \n The Research Associate will lead and deliver robotic electromagnetic non-destructive evaluation (EM NDE), with a particular focus on integrating machine learning into autonomous robotic inspection workflows. Key responsibilities include developing robotic EM NDE systems that combine sensor-driven control, adaptive path planning and real-time Machine Learning (ML)-enabled data interpretation for defect detection and characterisation. The postholder will implement and deploy machine learning models for processing spatially encoded EM NDE data, fusing inspection signals with robot pose information to enable intelligent decision-making during inspection. They will contribute to the design and validation of autonomous inspection demonstrators, undertake experimental studies in laboratory and industrial environments, and work closely with academic and industrial partners to translate ML-driven robotic NDE research into deployable solutions. The role also includes contributing to publications, technical reports and project coordination activities. \n The successful candidate will have strong expertise in robotics, automation or related engineering disciplines, with demonstrable experience in applying machine learning to sensor data or robotic systems. Essential skills include proficiency in programming (e.g. Python and/or C++), experience with robotic middleware such as ROS, experience of working with different robotic platforms (Kuka, UR, Fanuc, etc.) and practical knowledge of machine learning techniques for signal processing, pattern recognition or data-driven modelling. Experience with real-time or near-real-time ML deployment, data fusion, or ML-assisted perception and control is highly desirable. Familiarity with electromagnetic sensing or NDE, and experience working with experimental datasets and physical systems, would be a strong advantage. The candidate should be able to work independently, integrate ML methods with hardware and robotic platforms, and collaborate effectively within multidisciplinary research teams spanning robotics, sensing and data science. \n As a Research Associate, under the general guidance of a research leader, you will develop research objectives and proposals, play a lead role in relation to a specific project/s or part of a broader project, conduct individual and/or collaborative research, contribute to the development of new research methods, identify sources of funding, and contribute to the securing of funds for research, including drafting grant proposals and planning for future proposals. You will write up research work for publication, individually or in collaboration with colleagues, and disseminate the results via peer reviewed journal publications and presentation at conferences. You will join external networks to share information and ideas, inform the development of research objectives and to identify potential sources of funding. You will collaborate with colleagues to ensure that research advances inform departmental teaching effort, and you will collaborate with colleagues on the development of knowledge exchange activities by, for example, participating in initiatives which establish research links with industry and influence public policy and the professions. You will co-supervise student projects, provide advice to students and contribute to teaching as required by, for example, running tutorials and supervising practical work. You will contribute in a developing capacity to Department/School, Faculty and/or University administrative and management functions and committees and engage in continuous professional development. \n To be considered for the role, you will be educated to a minimum of PhD level in an appropriate discipline or have significant relevant experience in addition to a relevant degree. You will have sufficient breadth or depth of knowledge in Non-Destructive Evaluation (NDE), Robotics, and Machine Learning and a developing ability to conduct individual research work, to disseminate results and to prepare research proposals. You will have an ability to plan and organise your own workload effectively and an ability to work within a team environment. You will have excellent interpersonal and communication skills, with the ability to listen, engage and persuade, and to present complex information in an accessible way to a range of audiences. \n *Whilst a Post-Doctoral Research Associate is ideally sought for this position; applications from candidates who are close to PhD completion or whose award is pending, are welcome. In such circumstances, the appointment will be made at Research Assistant level (grade 6) and duties will be adjusted to reflect the grade of the post. This will continue until the PhD award is confirmed, at which point the duties and grade will be revised accordingly. \n Informal enquiries about the post\ncan be directed to Dr Ehsan Mohseni,\nSenior Lecturer in Applied Sensing and\nSignal Processing (). \n \n \n \n

A leading provider of innovative laser systems to help people in various global markets, including but not limited to renewables, microelectronics, research, life science, automotive, and medicine. We are seeking an experienced Laser Development Engineer to join our R&D team in the design, development and optimisation of our cutting-edge ultrafast and CW laser systems. This role provides the opportunity to demonstrate and apply your existing skills while also building new technical capabilities and deepening your knowledge in advanced laser physics, opto-mechanical engineering and system integration. As part of the development group, you will contribute to feasibility studies, prototype builds and system-level optimisation, working hands-on with optical, mechanical, electronics and control-systems specialists. You will help translate early-stage concepts into robust, manufacturable products by performing experimental work, analysing performance, and providing clear, data-driven feedback into the engineering process. PRIMARY DUTIES & RESPONSIBILITIES. • Conducting technical feasibility studies in the design of ultrashort pulsed fibre lasers and their use in laser systems., • Building, assessing, and qualifying prototypes based on these feasibility studies., • Troubleshooting laser performance issues., • Providing detailed and technically thorough reports / presentations to the engineering team., • Providing technical support to the laser manufacturing teams., • Working within a multi-disciplined engineering team to design laser systems., • Collaborating with local and international experts., • Defining specifications and sourcing of laser parts and components. EDUCATION & EXPERIENCE • PhD or equivalent in a solid state or fibre laser based area or demonstrable experience of working in a laser manufacturing or development environment., • Willingness to take responsibility for improvement actions., • Initiative to seek innovative solutions to problems., • Excellent communication and interpersonal skills with the ability to work closely and collaboratively with colleagues., • Understanding of the principles of optics and lasers., • Demonstrable practical ability in the creation of breadboard laser systems or of assembling and optimising laser systems in a manufacturing environment., • Experienced in the use of test equipment, both optical (power meters, spectrometers, auto-correlators, etc.) and electrical (oscilloscopes, signal generators, spectrum analysers, etc.)., • Experienced in the use of optical modelling software packages (for example Zemax) and / or the development of optical models via custom code., • General understanding of electronics and control systems., • Ability to work on multiple tasks and manage priorities., • Ability to work from general instructions for new assignments either in isolation or as part of a wider team., • Occasional travel will be required. Preferred Additional Skills • Knowledge of ultrashort laser pulses, mode-locking techniques, optical nonlinearities and dispersion is desirable., • Ability to program in Python for data analysis and for modelling systems., • Knowledge of control systems and familiarity with circuit diagrams to debug complex system issues., • May have experience of working with SBR’s (saturable Bragg reflectors) and aspects of their design and processing for use in ultra-fast laser systems.

Process Engineer – High Voltage Power Devices - VISA & Relocation support available Join a Growing Power Semiconductor Hub We’re supporting a global semiconductor organisation investing heavily in its MOSFET wafer fabrication facility. Operating both 150mm and 200mm lines, the site supports advanced analog, CMOS, BiCMOS and discrete technologies and is strengthening its capability in high-voltage power devices. This is a technical role within the R&D Center. You’ll work at the intersection of device physics and manufacturing reality, shaping how high-voltage LDMOS and power MOSFET technologies are developed, integrated and scaled into high-volume production. You will be responsible for: Developing process integration and module strategy for high-voltage LDMOS / MOSFET technologies. You will contribute to device architecture feasibility, manufacturability, yield performance and long-term platform robustness. What you will be doing: • Process integration for high-voltage LDMOS / power MOSFET technologies, • Define and refine process flows to achieve breakdown voltage, on-resistance, charge balance and ruggedness targets, • Collaborate with device engineers to align doping profiles, oxide structures, trench/field architectures and metallisation schemes, • Design and execute complex DOE programmes to optimise performance and process windows, • Analyse electrical, thermal and reliability characterisation data to validate models and identify gaps, • Drive yield enhancement and defect reduction initiatives using structured methodologies (SPC, FMEA, 8D, data analytics), • Investigate device-level failures using advanced diagnostic tools (SEM, TEM, FIB, EDX etc.) in partnership with FA teams, • Support qualification and reliability validation including HTRB, TDDB, ESD and UIS-related investigations, • Contribute to technology roadmap discussions, including evaluation of advanced device structures (e.g. trench, superjunction, shielded gate concepts), • Provide technical leadership across process, design, product and manufacturing functions, • Mentor engineers and raise technical standards across the fab What you will bring: • Master’s or PhD in Electrical Engineering, Physics, Materials Science or Microelectronics, • 5+ years’ experience in power semiconductor device and process development, • Strong background in high-voltage LDMOS or related power device technologies, • Deep understanding of breakdown mechanisms, reliability physics and ruggedness behaviour, • Hands-on wafer fabrication experience within a cleanroom environment, • Proficiency with TCAD/device simulation tools (Sentaurus, Silvaco or similar), • Experience translating device concepts into manufacturable process flows, • Track record of leading device or process development from concept through to mass production, • Strong statistical and data-driven problem-solving capability, • Comfortable influencing cross-functional and international engineering teams What success looks like: • Stable, manufacturable high-voltage device platforms, • Improved yield performance and tighter process control windows, • Clear alignment between device architecture and fab capability, • Become a recognised technical leadership within the technology team

Principal Process Engineer – High Voltage Power Devices - VISA & Relocation support available Join a Growing Power Semiconductor Hub We’re supporting a global semiconductor organisation investing heavily in its MOSFET wafer fabrication facility. Operating both 150mm and 200mm lines, the site supports advanced analog, CMOS, BiCMOS and discrete technologies and is strengthening its capability in high-voltage power devices. This is a senior technical role within the R&D Center. You’ll work at the boundary of device physics and manufacturing reality, shaping how high-voltage LDMOS and power MOSFET technologies are developed, integrated and scaled into high-volume production. You will be responsible for: Owning process integration and module strategy for high-voltage LDMOS / MOSFET technologies. This is not incremental support work. You will influence device architecture feasibility, manufacturability, yield performance and long-term platform robustness. What you will be doing: • Lead process integration for high-voltage LDMOS / power MOSFET technologies, • Define and refine process flows to achieve breakdown voltage, on-resistance, charge balance and ruggedness targets, • Collaborate with device engineers to align doping profiles, oxide structures, trench/field architectures and metallisation schemes, • Design and execute complex DOE programmes to optimise performance and process windows, • Analyse electrical, thermal and reliability characterisation data to validate models and identify gaps, • Drive yield enhancement and defect reduction initiatives using structured methodologies (SPC, FMEA, 8D, data analytics), • Investigate device-level failures using advanced diagnostic tools (SEM, TEM, FIB, EDX etc.) in partnership with FA teams, • Support qualification and reliability validation including HTRB, TDDB, ESD and UIS-related investigations, • Contribute to technology roadmap discussions, including evaluation of advanced device structures (e.g. trench, superjunction, shielded gate concepts), • Provide technical leadership across process, design, product and manufacturing functions, • Mentor engineers and raise technical standards across the fab What you will bring: • Master’s or PhD in Electrical Engineering, Physics, Materials Science or Microelectronics, • 10+ years’ experience in power semiconductor device and process development, • Strong background in high-voltage LDMOS or related power device technologies, • Deep understanding of breakdown mechanisms, reliability physics and ruggedness behaviour, • Hands-on wafer fabrication experience within a cleanroom environment, • Proficiency with TCAD/device simulation tools (Sentaurus, Silvaco or similar), • Experience translating device concepts into manufacturable process flows, • Track record of leading device or process development from concept through to mass production, • Strong statistical and data-driven problem-solving capability, • Comfortable influencing cross-functional and international engineering teams What success looks like: • Stable, manufacturable high-voltage device platforms, • Improved yield performance and tighter process control windows, • Clear alignment between device architecture and fab capability, • Become a recognised technical leadership within the technology team

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

About the Company Trine Energy is a UK based early stage startup developing products for transmission of electrical power (1MW+) using power of fiber (PoF) as the core technology. PoF is already in use in many industries. However the power used in those applications are in milliwatts. Our power transmission target is orders of magnitude higher. It is a challenging yet exciting problem to solve. We are working on the hypothesis that the production of power is a solved problem. Solar and wind based energy production has been rapidly scaling since the start of the century. In fact there is too much generation of solar and wind power in many European countries leading to curtailment and negative spot price of electricity. Renaissance of fission nuclear reactors and the advancements in fusion means there will be no shortage of electrical power. The challenge will be to distribute that power at a national and global scale. Today, the only option of distributing electrical power over distance is the power grid. It works, but just. It is a super old technology. It takes immense effort to build or expand, and is costly to maintain. According to various studies, ~$1 Trillion of annual investment is needed globally to upgrade and expand the grid networks to reach net zero target by 2050. Governments don’t have fiscal capacity to make such investments. It has not seen any real innovation for a very long time and there is none on the horizon to significantly reduce the cost. It gets unstable when there is too much intermittent power in the mix, which goes against the global drive for energy transition. It is fragmented, and has no global scale. Laser and fiber optic, in comparison, are modern technologies, enjoying rapid innovation. Both are highly flexible products. They have many interesting properties that electricity and power cables don’t have. They can be produced in significantly higher volumes and are easy to deploy. Their cost and performance are improving at Moore’s law scale. This opens the opportunity for us to build products and become an alternative to specific use cases that are easier to develop and implement in the near term, such as providing power redundancy using short distance transmission (<5km) to critical infrastructure such as defense systems and data centers. It is also possible to deliver electrical power as thermal energy for commercial and industrial heating. The long term goal is to create a global network of power, much like the internet, where producers and end users can connect instantly and seamlessly using our technology. The products that solve the energy distribution problem at a global scale have the potential to define a new industry. Our plan is to combine technologies from different fields of science and engineering such as high power diode and fiber lasers, specialised fiber optic, power over fiber, and thermal photovoltaic cells to achieve the goal. By using technologies that are already invented and commercialised, and pushing the boundaries of engineering and finance to create a product that solves one of the biggest energy transition bottlenecks, is a mission worth pursuing. About the role The Photonics Engineer is the engineering lead for high‑power optical delivery at Trine. You will own how multi‑kilowatt to megawatt‑class optical power is generated, guided through fibers and cables, and delivered reliably over 1–100 km. This is a hands‑on, system‑facing role that bridges simulations, suppliers, and early hardware. • Own the high‑power optical delivery path: define fiber types (MMF, LMA, PCF, HCF), core sizes, fiber counts per cable, and operating points for CW power over long distances., • Translate optical and multiphysics simulation results into practical design rules: power per fiber, safe operating areas, bend and routing limits, splicing strategy, and safety margins., • Design and iterate fiber bundle and cabling concepts for underground/undersea deployment, balancing attenuation, thermal limits, reliability, installation, and maintenance., • Specify, evaluate, and qualify lasers and fiber components from OEMs and fiber manufacturers; define technical requirements and compare architectures against performance, operational, and cost KPIs., • Prototype and test early subsystems (delivery rigs, test fibers, connectors, sample cables), define test plans, and feed measurements back into models and design decisions., • Work closely with product, research, and simulation colleagues to align the delivery architecture with near‑term use cases (defence redundancy, data centers, industrial heat) and the scaling roadmap., • Create clear documentation of architectures, assumptions, trade‑offs, and test results that can be shared with suppliers, partners, and future team members. What we are looking for in the candidate • B.E./Tech, M.E/Tech, MSc or PhD in Physics, Photonics, Optical Engineering, or a closely related field., • Hands‑on experience with high‑power fiber delivery: large‑core or specialty fibers (e.g., MMF, LMA, PCF, HCF) at ≥100 W CW, ideally into the kW range., • Solid understanding of nonlinear and damage mechanisms in fibers (e.g., SRS, SBS, thermal damage, fiber fuse) and how they scale with power, length, and core size., • Experience configuring or integrating industrial diode or fiber lasers and their delivery fibers (end caps, collimators, connectors, safety interlocks)., • Working proficiency with Python and at least one simulation environment (in‑house codes, COMSOL, Ansys, or similar) for analyzing propagation and basic thermal effects., • Comfort making design trade‑offs with incomplete data, iterating quickly, and owning decisions in a small, distributed startup team., • Experience in specialty fiber development or industrialisation (e.g., hollow‑core, PCF), including collaboration with fiber drawing facilities or process engineers., • Experience taking fiber or laser technologies from lab concept towards standardised product: defining specs, qualification tests, and working with suppliers to meet them., • Exposure to underground/undersea cable concepts, deployment, or reliability for optical or power cables., • Experience with coupled optical–thermal–mechanical models for high‑power components and systems., • Previous work with defence, energy, or data‑center applications that demand high reliability and robust safety engineering. What we offer • Remote‑first role, open to UK and non‑UK candidates. Full‑time, with the option to start part‑time and ramp up., • Opportunity to define how multi‑MW optical power is moved through fibers at scale and to shape a new class of energy‑distribution infrastructure.

Research Assistant/Research Associate to join its vibrant research community. Relevant postgraduate qualification for Research Assistant or a PhD for Research Associate. Research Assistant: £33,951 to £37,694 per annum.

A leading AI research firm is seeking a Data Science Expert - AI Content Specialist to design complex data science challenges and evaluate advanced AI models. The role requires a Masters or PhD in a quantitative field, strong skills in data analysis and machine learning, and the ability to communica

Research Assistant/Research Associate to join its vibrant research community. Applicants should hold either a relevant postgraduate qualification (for Research Assistant) or a PhD (for Research Associate) in a field closely aligned with infection and immunity research or related biomedical science d

General Postdoctoral Researcher - $90/hr Remote - Alignerr. Alignerr | Position: General Postdoctoral Researcher (Masters/PhDs) | Type: Hourly Contract | Compensation: $75–$90 /hour | Location: Remote | Commitment: 10–40 hours/week. Collaborate asynchronously with AI researchers and domain exper

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A leading AI research partnership is seeking a Data Science Expert - AI Content Specialist to tackle complex data science challenges, author comprehensive technical solutions, and audit AI-generated code.Ideal candidates should hold a Master's or PhD in a quantitative field and possess strong skills

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Une organisation de recherche en découverte de médicaments recherche un(e) Scientifique pour développer et optimiser des procédés chimiques.Le candidat idéal doit avoir un PhD en chimie organique et au moins 2 ans d'expérience.Les responsabilités incluent la collaboration avec différents d�

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Our client is an innovative and rapidly growing organisation operating at the intersection of biology, automation, and data science, focused on advancing large-scale proteomics to generate actionable biological insights. To support the growth of their high-performance team, we’re seeking an LC-MS Proteomics Scientist to join their operations in Glasgow. In this position, you will play a key operational role in ensuring smooth day-to-day running of the proteomics laboratory. You will maintain instrument performance, perform Proteomics methods, and help drive efficiency through automation and optimisation. Key Responsibilities include: • Execute and support proteomics experiments focused on biomarker discovery and validation, • Develop and optimise LC-MS/MS workflows using advanced techniques (DIA / PRM), • Maintain and troubleshoot Thermo Orbitrap Mass Spectrometry systems, • Integrate automation and liquid handling to improve throughput, • Collaborate closely with scientists, chemists and data teams to support project delivery, • Contribute to technical documentation, reporting and scientific outputs Key Requirements: • BSc, MSc or PhD in Analytical Chemistry, Biochemistry, Molecular Biology or related discipline, • Minimum 3 years’ experience using LC-MS/MS in Proteomics, • Hands-on expertise with Thermo Orbitrap / Tribrid systems, • Strong troubleshooting and maintenance experience for MS instrumentation, • Experience running complete proteomic workflows from sample preparation through data acquisition, • Excellent organisational skills and ability to manage multiple priorities This is a unique opportunity to join an innovative startup at a time of growth. For your work you will be rewarded with a highly competitive salary and opportunities to progress in the company. Apply today to learn more about this exciting position! Keywords: Mass Spectrometry Technician, Proteomics, LC-MS, LC-MS/MS, Orbitrap, Thermo Tribrid, Biomarker Discovery, DIA, PRM, Proteome Discoverer, Skyline, FragPipe, Biofluid Proteomics, Automation, Liquid Handling, Protein Analysis, High-Throughput Proteomics, Biomarkers, Instrument Troubleshooting, Glasgow, Scotland, VRS9364PC

Job Title: PhD Graduate/Science Writer – Photonics / Optics (Technical Marketing) Location: Ely, Cambridgeshire Salary: We know salary transparency matters. Are you a PhD graduate with a passion for Photonics, Optics, and Lasers? Step into a role where innovation.

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A leading university is seeking a motivated PhD candidate in the field of cancer genetics to contribute to the HER-CARE project.

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Organisation/Company university college london Department Division of Surgery & Interventional Science Research Field Biological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Apr 2026 - 23:59 (Europe/London) Country United Kingdom Ty

Organisation/Company University of Strathclyde (UOS) Department Aerospace Centre of Excellence (ACE) Research Field Engineering » Aerospace engineering Engineering » Mechanical engineering Engineering » Simulation engineering Environmental science » Earth science Environmental science » Global

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A leading AI research firm is seeking a General Postdoctoral Researcher to work remotely on developing advanced AI solutions.The role requires a Master's or Ph.STEM field, exceptional research skills, and strong communication abilities.Candidates should be based in the U.Compensation ranges from $75

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