1 to 25 of 33 PhD Jobs in the Thames Valley

data scientists and engineers, nurturing their professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in More ❯

refine quantitative computations, implementing auditable manual adjustments when necessary, and stay updated on industry developments in digital asset derivatives. Skills and Qualifications Educational Background: Advanced degree (Master’s or PhD) in a quantitative discipline such as Mathematics, Financial Engineering, Physics, or Computer Science. Experience: 10+ years in quantitative research, with at least 5 years in a leadership role within financial More ❯

training Robotics experience, particularly in reinforcement/imitation learning Experience in cloud infrastructure (AWS, GCP, or Azure) and containerization Ability to translate research papers into deployable systems Researcher Background: PhD or advanced degree in Robotics, Machine Learning, or a similar field Experience with top-tier conferences like CoRL, ICRA, RSS, ICML, ICLR, NeurIPS Strong knowledge of reinforcement learning, imitation learning More ❯

modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast More ❯

and Liaise as needed with our academic and industry partners in order to perform the above duties and support new business and product development. Ideally you'll have: A PhD (or equivalent industry experience) in physics, geophysics, electronic engineering, computer science, mathematics, or a closely related discipline; Experience performing data analysis, algorithmic development, and/or digital signal processing in More ❯

deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of More ❯

algorithmic ideas (Python preferred). Drive the implementation of high-quality research into production trading systems. Provide guidance and mentorship to junior researchers. Skills and Experience: Master’s or PhD in a highly quantitative field. 5+ years of experience in financial services or a quantitative research environment. Demonstrated success in project or people management. Strong programming skills (Python, Java, or More ❯

the ability to influence at C-level Background as a hands-on data scientist, with deep understanding of model development, deployment, and MLOps MSc in a quantitative field required; PhD welcome but not essential Familiarity with AI governance and ethical AI practices Curious and up to date on GenAI technologies (either directly or via team exposure) Comfortable working with varied More ❯

and asset classes. Pre market – checking that all required data and processes are ready. During market – sporadically monitoring behaviour and performance of strategies. Qualifications Quantitative background - including Master/PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Required Skills Programming proficiency with at least one major programming or scripting language More ❯

best practices and fostering a culture of innovation, collaboration and continuous learning. About You You’re a fit for the role of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master’s plus a comparable level of experience, Vastly experienced in hands-on experience building NLP/IR systems for commercial applications, Experience writing production More ❯

and future systems. Maintaining an awareness of current and future developments in the HPC field. Who are we looking for? We do need you to have the following: A PhD is preferred, but if you have a BSc/MSc in Computer Science, Physics, Mathematics, or other numerate discipline plus a few years of progressive post-graduate industry experience in More ❯

function areas such as Discovery Biology, Translational Biology, Computational Chemistry, Protein Sciences and fellow data science teams & IT. Interested? For this role we're looking for the followingeducation, experienceandskills PhD in biological, chemical, or data science with strong skills & experience in informatics, statistics, or computer science and demonstrated delivery in the life sciences space 8+ years of hands-on experiencewith More ❯

analyze, and monitor investment-related data effectively Conduct in-depth analysis of financial data to support investment decisions and risk management strategies You'll need Master’s degree or PhD in Mathematics, Statistics, or a related quantitative field Experience working with data on granular loan portfolios (e.g., consumer lending, SME lending, mortgage loans, trade receivables) Familiarity with asset-backed finance More ❯

from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Desirable Experience PhD in geoscience. Proven application of AI/ML in geoscience projects. Experience with the energy sector. Familiarity with geological process modelling. Halliburton is an Equal Opportunity Employer. Employment decisions are More ❯

formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate the risks of model limitations to senior management. Requirements: Education: PhD/Masters in a finance/mathematical/quantitative field Prior Experience: 3-5 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and More ❯

formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate the risks of model limitations to senior management. Requirements: Education: PhD/Masters in a finance/mathematical/quantitative field Prior Experience: 5-8 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and More ❯

and propose improvements where necessary. Contribute to validation reports that meet internal governance and regulatory expectations. Maintain ongoing monitoring of model performance, usage, and limitations. Candidate Profile: MSc or PhD in a quantitative field. Knowledge of quantitative finance, in particular stochastic calculus and numerical methods. Fluency with Microsoft Word and Excel, working with potentially large spreadsheets. Fluency with programming languages More ❯

objectives meet practical application requirements. Communicate research results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications & Experience: PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large-scale machine learning systems, including aspects of model training, finetuning, data More ❯

positioning Sova as an industry leader. Leverage insights from AI, LLMs, and psychology to drive the development of forward-thinking assessment processes. REQUIREMENTS AND SKILLS: Essential Master’s or PhD in Occupational Psychology or Psychometrics. Proven track record in developing and launching innovative psychometric assessments, across a broad range of constructs, roles, sectors and job levels. Strong psychometric and data More ❯

deploy models into production. Continuously optimise models for performance and robustness once live. Requirements: Bachelor’s or Master’s degree in Mathematics, Computer Science, Engineering, or a related field. PhD is a plus. Extensive experience in quantitative trading, preferably within a high-frequency or intraday trading environment. Proven track record of successful trading strategies across multiple asset classes (e.g., equities More ❯

at internal and external meetings and conferences Undertake other duties in support of the research group as requested by the Group Leader Essential & Desirable Knowledge, Skills and Experience: A PhD (or equivalent) in a relevant scientific discipline (e.g. Biology, Chemistry, Engineering, Computer Science) Strong track record of hands-on research, ideally in mammalian cell culture and engineering, molecular biology, or More ❯

disciplines and rapidly turn scientific knowledge into scalable solutions Communicate your science in a clear and compelling way to both customers and non-experts 👩 🔬 What we’re looking for: PhD or Master’s with 3+ years’ experience in applied modelling, data science, or spatial analysis Fluency in Python , including geospatial packages Strong communicator, able to distil complex topics for non More ❯

Support business development and proposal activities with multiple customers and partners Lead/participate in specification trade-off negotiations with customers, partners, engineers, and working groups Experience: Educated to PhD or similar in Electrical Engineering, Mathematics, Physics, or related discipline Strong communication, analytical and mathematical skills Simulation and computer modelling (e.g., MATLAB, Python, C/C++, or similar) Digital signal More ❯

You’ll be: 🔹 Designing & improving execution algorithms 🔹 Building market impact & post-trade models 🔹 Working with traders, quants & engineers to push research into production They’re after: ✔️ Strong STEM background (PhD/Masters ideal) ✔️ 3+ years in execution research/TCA/market-impact modelling ✔️ Python expertise (C Rust a bonus) ✔️ Deep stats/ML knowledge & time-series analysis 👉 A chance More ❯