19 of 19 Permanent Experimental Design Jobs in the North of England

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 ...

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 ...

impact. You'll join a highly collaborative environment where analytics sits at the heart of product decision-making, working alongside product, engineering, and design teams to influence strategy and drive measurable outcomes. The Company They are a well-established digital business with a large-scale consumer platform used … journeys, product performance, or user engagement * Experience leading or supporting experimentation programmes and A/B testing initiatives * Knowledge of statistical inference methodologies and experimental design principles * Advanced SQL skills and strong Python capability * Understanding of product analytics and digital tracking platforms such as Google Analytics ...

bring statistical rigour to decisions we'd otherwise make by feel. You size opportunities, design experiments, build models and ship insight that changes what we build next. What you'll build Models that quantify risk, propensity, quality and forecast key business outcomes. Experimentation frameworks used across the group. ...

Fundamentals. We are particularly interested in developing new machine learning for research, which involves AI4Science and for health, sequential decision making and experimental design under uncertainty, and collaborative AI. Machine learning keywords include Bayesian inference, distribution shifts, generative modelling, human-in-the-loop learning, privacy-preserving learning ...

role focuses on revenue model development, pricing optimization, user segmentation, and data-driven experimentation to support sustainable growth across global markets. Key Responsibilities Design and optimize game revenue models , payment structures, and in-game item systems Monitor key monetization metrics such as conversion rates, ARPU, LTV , and user … other high-monetization game business models Solid knowledge of revenue metrics, pricing frameworks, and user segmentation models Strong data analysis skills and experience with experimental design and performance evaluation Professional proficiency in English and Chinese , suitable for cross-functional and cross-regional collaboration Preferred Qualifications Experience with ...

Fundamentals, Manchester, UK. These lectureships form part of a strategic investment in fundamental AI research; candidates should have strong backgrounds in Bayesian inference, automatic experimental design, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, and related areas. #J-18808-Ljbffr ...

Fundamentals, Manchester, UK Aug 18, 2023 Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK Keywords include automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling ...

OrderYOYO is hiring a Growth Data Analyst in Manchester to identify where orders are lost across apps, websites, and marketing channels. You will design experiments, write SQL, and present findings to decide what ships next, working with a developer, a marketing manager, and a data engineer. The role ...

, build and test advanced optical setups spanning free-space, fibre optics, photonic integrated circuits and cryogenic technologies. This hands-on role covers experimental design, calibration, automation and data analysis, with collaboration across scientists and engineers to translate results into improved device #J-18808-Ljbffr ...

data requirements, and evaluation plans. Explore, prepare, and validate structured and unstructured data, establishing appropriate quality checks, feature definitions, lineage, and documented limitations. Design, develop, and validate statistical and machine learning solutions for tasks such as classification, regression, clustering, forecasting, segmentation, and optimization. Design experiments … measure impact, interpret uncertainty, and support sound decisions. Build and evaluate generative AI capabilities within Nexus (AWS stack), including prompt and context design, embeddings, retrieval-augmented generation, knowledge bases, and agent or tool behaviours. Write production-quality Python and SQL, and work with engineers to integrate successful solutions ...

develop advanced optical test systems, working across free-space and fibre optics, photonic integrated circuits and cryogenic technologies. You will take ownership of experimental setups, from initial design and assembly through to calibration, characterisation, automation and troubleshooting. Working alongside our scientists and engineers, you will help translate … experimental results into improvements in device performance and system design. You'll have the opportunity to solve challenging technical problems, develop new measurement capabilities and contribute directly to the development of our quantum computing hardware. What You'll Be Doing Optical Test Systems: Design, build, align ...

models used to support pricing and commercial decision-making. You'll partner closely with commercial, product, finance and engineering teams to identify opportunities, design experiments and deliver solutions that generate measurable business impact. This role combines advanced modelling with hands-on deployment, making it ideal for someone … enjoys taking ideas from concept through to production. Key Responsibilities Develop and optimise pricing and revenue-focused machine learning models. Design and evaluate experiments, including backtesting and online testing methodologies. Build predictive models to support commercial decision-making and risk assessment. Deploy, monitor and maintain production machine learning ...

processing experience who wants to broaden their expertise across fabrication processes, technologies and international foundry partners. You will take ownership of technical challenges, use experimental evidence to guide decisions and help move new device concepts from R&D into scalable manufacturing. Responsibilities: Lead and coordinate the development and optimisation … practical manufacturing constraints. Support Operations with process integration, qualification and transfer to manufacturing, defining critical parameters, process windows, acceptance criteria and controls. Maintain clear experimental records, process documentation and risk assessments; support change control and improvements in reproducibility, reliability, yield and cost. Requirements: Essential Degree in Semiconductor Engineering, Materials ...

responsible for developing and advancing semiconductor device models for next-generation power semiconductor technologies. You will work closely with Device Engineering, Technology Development, Design, Characterization and Reliability teams to improve the understanding, prediction and optimization of device performance. The successful candidate will bring strong expertise in semiconductor device … compact model development and parameter extraction methodologies. Strong programming and data analysis skills using Python, MATLAB or similar tools. Experience correlating simulation results with experimental characterization data. Knowledge of system-level simulation techniques and model validation. Ability to work effectively within multidisciplinary R&D environments. Preferred Experience with power ...

United Kingdom invites a data scientist to turn data into strategic decisions from Rochdale. You will build models that quantify risk, design experiments, and ship data products that leaders rely … steer the business. The role requires 4+ years of data science experience, fluent Python and SQL, and a strong grounding in statistics and experimental design. You will work with cloud data warehouses and contribute to cross‐team initiatives. #J-18808-Ljbffr ...

processes, as well as continuous improvement on current processing in die singulation, laser processing and wafer on frame debonding and advanced packaging technologies Design and execute experiments (DOE) to establish process windows and optimise process performance Develop process specifications, control plans, and qualification methodologies and handover to sustaining … problem solving of complex issues A strong understanding of electronics and its core principles Experience in providing leadership and mentoring Experience with Design of Experiments (DOE), Statistical Process Control (SPC), and process capability analysis Strong data analysis capabilities using JMP, Minitab, Excel, or similar statistical tools A strong ...