751 to 775 of 1,055 PhD Jobs in the UK

with Functional Safety Standards and contribute to methods and processes used by the CT FuSa Team. Required Skills and Experience: A Master in Electronics or Computer Science or similar (PhD or relevant experience in industry would be a plus!). Design and Verification of embedded electronics systems, HW and SW architectures, with experience of HDL languages, i.e. Verilog, VHDL and More ❯

XVA-related experience is especially valuable. Knowledge of financial products and related quantitative methods, especially Monte Carlo simulation. Clear and concise written and verbal communication skills. An MSc or PhD degree in a quantitative subject Skill in programming, preferably in C++. What we can offer you We work hard to have a positive financial and social impact on the communities More ❯

description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: BSc or MSc or PhD in relevant discipline 5 or more years of experience in GPU software architecture or driver development Hands-on experience with one or more of the following technologies: Vulkan, OpenGL ES More ❯

with meaningful scale A bias toward action and pragmatism: you ship working software quickly Strong product intuition and comfort collaborating beyond just engineering Interest in AI/ML — no PhD required, but hands-on curiosity essential Based in (or regularly able to visit) London for in-person collaboration Location: London, Hybrid Salary: £110,000 + benefits Contract: Full-time, Permanent More ❯

of data governance frameworks or certifications (e.g., DAMA CDMP, DCAM) Exposure to the Bloomberg Terminal, Bloomberg API's or Enterprise Data products A degree (Bachelor's, Master's, or PhD) in a STEM discipline, Economics, Finance, or a related field Does this sound like you? Apply if you think we're a good match. We'll get in touch to More ❯

logic, variable definitions, and workflows. Act as a technical and analytical resource for complex RWD projects. What you will need: Master’s degree (with 5–8 years' experience) or PhD (with 2+ years) in Biostatistics, Epidemiology, Data Science, or a related field. Extensive experience using Flatiron Health data for real-world oncology research. Expertise in programming oncology-specific methodologies, such More ❯

with meaningful scale A bias toward action and pragmatism: you ship working software quickly Strong product intuition and comfort collaborating beyond just engineering Interest in AI/ML — no PhD required, but hands-on curiosity essential Based in (or regularly able to visit) London for in-person collaboration Location: London, Hybrid Salary: £110,000 + benefits Contract: Full-time, Permanent More ❯

partners. Effectively communicating and presenting data to various audiences. Maintaining accurate electronic records and code repositories. Contributing to the development of the drug discovery platform. Experience and Requirements: Essential: PhD or Masters in a relevant scientific discipline, or equivalent industry experience. Proficiency in single-cell transcriptome/genome data analysis. Experience in analysing and interpreting large datasets. Competence in statistical More ❯

logic, variable definitions, and workflows. Act as a technical and analytical resource for complex RWD projects. What you will need: Master’s degree (with 5–8 years' experience) or PhD (with 2+ years) in Biostatistics, Epidemiology, Data Science, or a related field. Extensive experience using Flatiron Health data for real-world oncology research. Expertise in programming oncology-specific methodologies, such More ❯

Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Key Responsibilities Design and More ❯

deploy fine-tuned models into production pipelines. Define clear success metrics and ensure continuous monitoring for improvements and domain adaptation. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A conferences). Hands-on experience with large More ❯

power efficiency Build robust unit & integration tests to guarantee colour fidelity Collaborate with hardware, OS, and camera-algorithm teams across UK and Asia What you’ll bring MSc/PhD (or equivalent experience) in Computer Science, EE, Imaging or related Expert-level C/C++ on Windows; strong performance profiling & SIMD experience Hands-on knowledge of DirectX 11/ More ❯

on lab scenarios and theoretical materials science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in materials science, materials engineering, or a closely related physical science field is ideal; peer reviewed publications, lab-based testing, product design using advanced materials, or applied research signal fit. More ❯

their engineering team within the next 12 months. Requirements: - You’ll be smart – likely studied computer science or similar at a top 50 world ranked university and possibly a PhD; or studied a STEM degree at Cambridge, Oxford, Imperial or similar and pivoted into software engineering. - You’ll have worked as a software engineer at a Big Tech or similar More ❯

virtual GP benefit, subsidised canteen, employee assistance programme, retail and entertainment reductions, and a variety of sports and social clubs. Professional Development Possibility for funded academic support up to PhD level, employee goal setting and development plans, huge growth potential both internally and globally within the business, opportunity to contribute and work with cutting-edge technologies. Corporate Social Responsibility & Sustainability More ❯

virtual GP benefit, subsidised canteen, employee assistance programme, retail and entertainment reductions, and a variety of sports and social clubs. Professional Development Possibility for funded academic support up to PhD level, employee goal setting and development plans, huge growth potential both internally and globally within the business, opportunity to contribute and work with cutting-edge technologies. Corporate Social Responsibility & Sustainability More ❯

same-game parlays using advanced stats Apply Bayesian inference, filtering & mathematical modeling Work with quant engineers on dashboards & implementation Ideal Candidate Strong quant background (Bachelor’s/Master’s; PhD a plus) Experience in syndicate or sports quant teams Expertise in US sports modeling preferred R, Python, or similar programming proficiency Why Join? Creative autonomy in model development Growing team More ❯

Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Key Responsibilities Design and More ❯

functional engineering teams to deliver innovation into AR/VR products Minimum Qualifications 5+ years of graphics software engineering experience or 2+ years of graphics software engineering experience with PhD Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 5+ years of experience with C/C++ programming 5+ years of object-oriented and More ❯

a deep understanding of the core technology behind language models. Having previously conducted and published research on large language models is an an advantage here A Master's or PhD degree in machine learning is advantageous but not required Can communicate fluently with both technical and non-technical stakeholders and enjoy white-boarding with customers. Are capable of architecting and More ❯

integration, or related work experience. OR Master's degree in Science, Engineering, or related field and 5+ years of ASIC design, verification, validation, integration, or related work experience. OR PhD in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience. Key Responsibilities: In partnership with system and architecture teams, drive the More ❯

line with the institute's objectives. The ICG consists of 20 academic staff, around 20 postdoctoral researchers, 6 research software engineers, 3 outreach and public engagement fellows, around 30 PhD students, and has an active international visitors programme. Portsmouth has major involvement in the Dark Energy Survey (DES), the Dark Energy Spectroscopic Instrument (DESI), the Vera Rubin Observatory, ESA's More ❯

reports and publications, author/co-author papers, proposals, presentations and reports, give invited talks, attend project workshops and conferences. What you will bring to the team: Technical Knowledge PhD in experimental atomic, molecular, and optical (AMO) physics. Atom trapping using tightly focused laser beams. Rydberg physics and their interactions. Experience working with laser systems; optical design, alignment, and control. More ❯

reports and publications, author/co-author papers, proposals, presentations and reports, give invited talks, attend project workshops and conferences. What you will bring to the team: Technical Knowledge PhD in experimental atomic, molecular, and optical (AMO) physics. Atom trapping using tightly focused laser beams. Rydberg physics and their interactions. Experience working with laser systems; optical design, alignment, and control. More ❯

experts and customers. A high level of personal resilience when working in a high-pressure environment. It would be nice of you also had: A master's degree or PhD in a subject such as Physics, Antenna Design, Propagation, Electromagnetics, Microwave engineering, Data Analysis of measured data, etc. Experience in phased array antenna or microwave components measurement using standard RF More ❯