1 to 25 of 52 DemandTrendPermanent PhD Jobs in the Thames Valley

communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role looks of interest, please reach out to More ❯

and foster a culture of technical excellence and collaboration. Who We’re Looking For: Exceptional candidates with an outstanding academic and professional track record. A degree (Master’s or PhD preferred) in a quantitative discipline (e.g., Mathematics, Physics, Computer Science) from a top-tier university. Proven experience developing successful quantitative models—ideally in HFT and/or transaction cost analysis. More ❯

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 ❯

or similar). Demonstrated ability to work independently on real-world projects. Strong communicator, with the ability to share ideas, take feedback, and collaborate effectively. A master’s or PhD in a quantitative field (or equivalent real-world experience in data science or analytics). Bonus: experience in at least one of the following areas: Working with Marketing Mix Models 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 ❯

Drive adoption of modern machine learning methods and emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Solid background in Data Science (though this is not a hands-on technical role) Experience managing small, high-performing More ❯

Experience with Mission Analysis & requirements definition Fluent in spoken and written English language Work in a team as well as independently Desirable skills Security Cleared (Highly desirable) Masters or Doctorate in relevant field Experience in flight dynamics operations & agile methodology Experience using C++, Java, Python, and scripting & basic knowledge of Linux Experience in regression testing and version control Education or More ❯

ethical AI practices, and active engagement with industry consortia such as Pistoia Alliance, CIOMS, TransCelerate, and other relevant forums to shape standards and best practices Education & Requirements: Masters or PhD in Data Science, Engineering, Computer Science, or related fields 15+ years of experience in digital leadership or advanced analytics/AI roles within R&D-driven pharmaceutical industry Deep knowledge More ❯

and mentoring and developing new team members. Positively impact product quality, customer experience, and maintainability, and identify projects that improve team processes and solutions. What you need to succeed: PhD in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with significant years of industry experience is desired MS in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with 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 ❯

Minimum of 6 years of relevant experience required. 2+ years of experience with RF measurement and instrumentation. 2+ years of programming experience using Python. PREFERRED EXPERIENCE Masters Degree or PhD preferred. Hands on Digital & RF measurement experience (analyzers, vector signal generators, power sensors, network analyzers). Hands on link-performance measurement experience (link/protocol testers, channel emulators). Physical More ❯

audiences. Knowledge of public sector security and compliance frameworks . Excellent communication and stakeholder management skills. Desirable Qualifications: Degree in Engineering, Mathematics, Physics , or Operations Research . MSc or PhD in a related field. Understanding of electricity markets and power system operations (e.g., dispatch/unit commitment). Experience with cloud-native solution delivery in regulated sectors. SC or DV More ❯

audiences. Knowledge of public sector security and compliance frameworks . Excellent communication and stakeholder management skills. Desirable Qualifications: Degree in Engineering, Mathematics, Physics , or Operations Research . MSc or PhD in a related field. Understanding of electricity markets and power system operations (e.g., dispatch/unit commitment). Experience with cloud-native solution delivery in regulated sectors. SC or DV 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 ❯

hybrid on-site/home-based working environment, with head office located in a major academic city. Required Skills, Knowledge and Expertise You have relevant academic (research Masters/PhD level) and/or industry experience. Experience Essential Skills • Experience solving computer vision problems - such as object detection and human pose estimation - with the application of appropriate machine learning methods More ❯

Service Providers. Qualifications/Requirements: Bachelor's degree (e.g., BS, BA) or equivalent professional experience is required, preferably in Health Sciences or Data Sciences. Advanced degrees preferred (e.g., Masters, PhD). Minimum 8-12 years of experience in Pharmaceutical, CRO or Biotech industry or related field or industry! Knowledge of trial site operations and study execution Strong knowledge of regulatory 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 ❯