1 to 25 of 74 Permanent Experimental Design Jobs in the UK excluding London

HAIL) team focused on advancing how humans and robots interact in real-world environments. This exciting opportunity combines human-subject research, hands-on robotics, experimental design, and data analysis . You'll work directly with research participants and robotic systems, including mobile robots, robotic arms, and four … user studies in office, laboratory, and field environments. Coordinate study schedules, participant recruitment, research materials, and daily logistics. Develop research protocols, questionnaires, interviews, and experimental materials. Create research stimuli, including videos, animations, and physical mockups. Work Hands-On with Robotics & Technology Set up and operate robotic systems during live ...

some positions available in my new research group funded by the Turing AI World-Leading Researcher Fellowship: Human-AI Research Teams: Steering AI in Experimental Design and Decision-Making. Positions are available at all stages; we seek to fill most positions now but leave some for future … of following topics are welcome, or strong expertise in one and keen interest in working with expert colleagues on the others: automatic experimental design, Bayesian inference, human-in-the-loop learning, advanced user modelling, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, simulator-based inference ...

hiring researchers to my team working on probabilistic machine learning. Keywords include: Bayesian inference, reinforcement learning and inverse reinforcement learning, automatic experimental design, multi-agent learning, Bayesian deep learning, amortized inference, human-in-the-loop learning, user modelling, collaborative AI, privacy-preserving learning, likelihood-free inference. Different … different but related subsets of these. The work is funded by UKRI Turing AI World-Leading Researcher Fellowship programme, on “Steering AI in Experimental Design and Decision-Making”. The team is based in the new Manchester Centre for AI Fundamentals, which builds on the new ELLIS ...

position available) UKRI Turing AI World-Leading Fellowship : Focused on developing new principles and methods for Advanced User Modelling, sequential decision making, and Automatic Experimental Design, with and without Human-in-the-Loop. (One Research Associate and one Research Fellow position available) UKRI AI hub in Generative … Decision Making for Complex Systems : Multiple positions available for UK-based students. Projects include "Human-in-the-loop generative models for experimental design" with Patrick Cai and Mingfei Sun, and "Learning theory and methods for novel types of distributional shifts" with Omar Rivasplata. #J-18808-Ljbffr ...

processing of data for solving business problems. Conduct exploratory data analysis to identify trends, patterns, and correlations in the data. Develop and design experiments using statistical and machine learning models for data quality improvements, predictions, segmentation, and imputation. Engage business stakeholders from analysis using visualisations and findings. Collaborate ...

Science team Hybrid 80% homeworking and 20% from Stratford Upon Avon About the role As a Data Scientist at NFU Mutual, you'll design, develop and deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains … experience with a commitment to develop your Python capability, plus complex data analysis and data quality assurance Strong knowledge of statistical methods and experimental design, with experience designing, building and implementing machine learning solutions, particularly predictive models Experience with modern business intelligence platforms such as Power ...

performance of future quantum processing units. The Role You’ll be a senior member of our Quantum Science & Exploratory Research team, combining hands‐on experimental research with technical leadership, project ownership and mentoring. Working across superconducting quantum circuits, processor characterisation, calibration, benchmarking and cryogenic measurement systems, you’ll investigate … qubit design, packaging and quantum‐processing infrastructure. You’ll also help shape the QSER roadmap, coordinate the resources required to deliver experimental programmes and support the development of Quantum Engineers across the team. What You’ll Be Working On Lead complex scientific research projects from initial concept ...

prototyping. Comfort with the modern data stack - a cloud warehouse (BigQuery or equivalent) and dashboard design principles Solid grasp of statistics and experimental design - hypothesis testing, sample sizing, A/B testing rigour in a consumer-facing context. Strong product sense and commercial instinct ...

methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. Analyse, process, and interpret Next Generation Sequencing (NGS) and other high-throughput genomics datasets. Produce technical reports ...

quantum RF (QRF) systems in the UK. The Lead Scientist is the scientific authority within a portfolio, responsible for the physics-led direction, experimental strategy, scientific performance, technical interpretation, and scientific risk management. The role combines hands‐on technical leadership with team leadership and review, ensuring that experimental … project manager to document these clearly in the risk register along with mitigation strategies. Provide hands‐on technical leadership where required, including review of experimental plans, results, and technical conclusions. Lead, mentor, and line‐manage the portfolio science team. Work closely with the engineering team to ensure scientific requirements ...

Statistical Analysis & DoE: Apply Design of Experiments (DoE) and Statistical Process Control (SPC) methodologies to evaluate process windows, improve repeatability, and analyse experimental data using statistical tools (e.g., Minitab, Python). Yield & Defect Troubleshooting: Participate in structured root-cause investigations (such as 5-Why, 8D, and FMEA … Tools: Proficiency in operating SEM, surface profilometers, ellipsometers, and optical inspection tools for thin-film and pattern analysis. Data & Problem-Solving: Solid understanding of experimental design principles (DoE) and data analysis techniques. Communication: Clear written and verbal communication skills with the ability to document technical procedures ...

Generalisation , will investigate how the composition, diversity and annotation of biological training datasets influence model performance and generalisation. The successful candidate will design and undertake controlled computational experiments to identify which dataset properties contribute to model capabilities and distinguish genuine generalisation from memorisation, data leakage and similarities between … programming skills and practical experience of training, adapting or evaluating machine-learning models. You will also have an understanding of the main computational and experimental techniques used in generative or engineering biology. You will demonstrate strong quantitative and analytical skills, including experimental design, statistical analysis ...

integration, technology development, product engineering, validation, and applications teams, you will translate technical questions into actionable characterization programs and generate clear recommendations based on experimental evidence. In addition to project leadership responsibilities, you will contribute technical expertise in optical and electro-optical characterization, data analysis and interpretation, supporting … complex technical work packages or projects. Strong data analysis and problem-solving skills with attention to measurement quality and scientific rigor. Demonstrable experience in experimental design, validation and interpretation of results. Experience with programming and data analysis tools such as Python, MATLAB or equivalent. Knowledge of automated ...

processors through advanced control theory, pulse optimisation and rigorous processor characterisation. You’ll develop and validate techniques that improve gate fidelity and stability, turning experimental breakthroughs into scalable calibration capabilities while providing insight that shapes future chip design. The Role As a Quantum Engineer specialising in control … experimentally validate high-fidelity single- and two-qubit operations. Design, optimise and benchmark pulse shapes using quantum control, numerical optimisation and experimental techniques. Characterise gate error mechanisms, including coherent error, leakage, crosstalk, drift and control-chain distortion. Build robust experimental pipelines, data-analysis workflows and performance ...

Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations … providing documentation on use of the simulation tools Collaborate with colleagues in Design, Fabrication, and Test departments to gather data and ensure experimental verification Design experiments to assess the limitations of e.g. process tolerances by correlating initial models to experimental data and evolve physics ...

with agentic engineering, including agentic coding tools, specification-driven or evaluation-driven development, or multi-agent orchestration Practical experience with statistical data analysis and experimental design Practical software development experience in collaborative settings Excellent communication skills and strong executive presence, with credibility as a thought leader ...

modern ML/DL stack (e.g., PyTorch, Hugging Face) Hands-on experience evaluating, fine-tuning, and deploying Large Language Models Strong grounding in experimental design, evaluation, and benchmarking of ML systems Ability to bridge research and engineering: prototypes that become production-ready capabilities Awareness of inference cost ...

believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems. The Opportunity We are seeking a Research Scientist to drive our research on new large language model architectures … multi-GPU training. A working understanding of LLM inference costs, such as KV cache, memory bandwidth and why decoding is memory-bound. Rigour in experimental design: strong baselines, statistical comparison and honest reporting of negative results. A strong enthusiasm for using LLMs, coding assistants, and agents ...

from ideation, discovery and scoping through experimentation, production deployment, monitoring and iteration, measuring their impact against agreed business outcomes. Act as the technical design authority for AI, setting direction across architecture, model selection, data and retrieval strategies, fine-tuning, evaluation and deployment, and making the hard calls … outcomes: framing the business question, setting baselines, choosing the right metric and delivering measurable results rather than just models. This comes with statistical rigour: experimental design, sound validation, and an instinct for leakage, bias and overfitting in messy real-world data. Strong ML fundamentals across classical ...

tackling hard problems with curiosity, humility, and a deep sense of care for one another. TFLN photonic circuits are built on the same design principles as silicon and other platforms, but the material's anisotropic and EO behavior opens up a largely unexplored design space. … growing team is looking for a Staff or Senior Staff Photonics Design Engineer to lead the design of device components on our platform, with a particular focus on optical interfaces. We welcome strong designers from SOI, III-V, and other platforms. Technical depth matters more ...

Aerospace in Luton is a world leader in commercial and military ice protection systems and transparencies. Offering a full range of capabilities; design, analysis, testing, certification and manufacture of electro-thermal ice protection, military fast jet canopies and flight deck windows to over 20 programmes including: Boeing … demonstrate strategic thinking. • Working knowledge of aerodynamics and an appreciation of physics based modelling approaches for thermodynamic analysis. • Experience of test/experimental design, and practical execution in laboratory or test facility conditions to defined standards, and be able to contribute to the development of new test ...

Specialty Semiconductor applications. Solve challenging process and hardware problems where solutions are not immediately apparent, applying a combination of first‐principles understanding, simulation, experimental design, and data‐driven analysis. Drive invention activities and contribute to patent generation and intellectual property strategy. Hardware & Process Leadership Lead investigation … expertise and best practices. Lead technical reviews and influence development priorities across the wider organization. Work closely with engineering teams to influence chamber design, RF systems, gas delivery, thermal management, endpoint control, and process diagnostics. Simulation & Modelling Interpret modelling tools such as COMSOL or equivalent simulation packages ...

Tregoe. Plan, execute and analyse engineering trials across diffusion, assembly and life‐test processes. Develop robust process modules and produce clear, accurate documentation. Drive experimental design, risk analysis and feasibility studies for new technologies. Build strong cross‐functional relationships with equipment, yield, design and operations … Engineering with a strong foundation in materials, thin films, defects, and Physics with emphasis on solid‐state physics, microelectronics, semiconductor devices or cleanroom‐based experimental work Chemical Engineering where modules or research relate to etch/deposition chemistry, reaction engineering or process control Related engineering disciplines (e.g., Mechanical, Manufacturing ...

They will also curate large-scale datasets, working with both qualitative and quantitative data to support research objectives. This role is central to advancing experimental design and data collection for fatigue detection studies. Responsibilities Experiment Design and Data Collection Manage, prepare, and conduct eye-tracking ...

Operations, Data & Analytics, Security & Quality Compliance, Transformation, Application Development, and Enterprise Platforms. Job Overview Key Responsibilities Architecture and technical strategy Contribute to the design and architecture of core platform components and evaluation systems, making the load-bearing technical decisions and bearing accountability for their reliability, scalability, and long … regression signals - and build dashboards and reporting that turn those signals into actionable decisions. Drive engineering rigor in delivery through testing discipline, reproducibility, sound experimental design, and statistically defensible measurement of model quality. Technical leadership Provide technical leadership on the team's most ambiguous and highest-impact ...