1 to 25 of 71 PhD Jobs in the East of England

deposition and processing which can be used to test material properties or optimise performance. KNOWLEDGE/EXPERIENCE/SKILLS REQUIRED Essential • A Physics or Electrical Engineering degree and a PhD in a related field. • A strong academic record in physics, including an understanding of the fundamentals of theories that govern material properties. Desirable • Experience of incorporating materials into test structures … across a range of applications. • An appreciation of the commercial dimension of industrial R&D. key words: post doc materials scientist post doc materials chemist post doc material scientist phd physicist post doc chemist post doctoral chemist post doc researcher post doctoral research PhD Physics PhD in Physics PhD in Materials Scientist PhD in Applied Physics PhD in Materials Science … PhD Electrical Engineering PhD Electrical Engineer Post Doctoral Research Engineer Post Doctoral Physicist Post Doc Physicist More ❯

deposition and processing which can be used to test material properties or optimise performance. KNOWLEDGE/EXPERIENCE/SKILLS REQUIRED Essential • A Physics or Electrical Engineering degree and a PhD in a related field. • A strong academic record in physics, including an understanding of the fundamentals of theories that govern material properties. Desirable • Experience of incorporating materials into test structures … across a range of applications. • An appreciation of the commercial dimension of industrial R&D. key words: post doc materials scientist post doc materials chemist post doc material scientist phd physicist post doc chemist post doctoral chemist post doc researcher post doctoral research PhD Physics PhD in Physics PhD in Materials Scientist PhD in Applied Physics PhD in Materials Science … PhD Electrical Engineering PhD Electrical Engineer Post Doctoral Research Engineer Post Doctoral Physicist Post Doc Physicist More ❯

informed about the latest advancements in machine learning and computational biology, and apply them to real-world challenges. Share research findings through presentations, publications, and technical discussions. Basic Qualifications PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning More ❯

the-art research and applying emerging AI techniques to solve business problems. Ability to supervise sub-teams, lead projects, mentor junior colleagues and lead on technical standards maintenance. Desirable : PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field. Experience in applying Natural Language Processing and/or Speech Technology techniques More ❯

with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications - PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in More ❯

systems Collaborate with domain experts, academic partners, and internal teams to deliver mission-relevant innovation Support mentoring and knowledge sharing within the wider AI/ML group About You PhD or Master's degree in Computer Science, Machine Learning, Data Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous More ❯

systems Collaborate with domain experts, academic partners, and internal teams to deliver mission-relevant innovation Support mentoring and knowledge sharing within the wider AI/ML group About You PhD or Masters degree in Computer Science, Machine Learning, Data Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong More ❯

both technical and non-technical stakeholders. Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems. Desirable: PhD or equivalent qualification and experience in Machine learning or AI/Computer Science Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. More ❯

enhance virtual screening and molecular design. Utilize proprietary structural datasets to train, benchmark, and validate algorithms. Collaborate with multidisciplinary teams to translate research into production solutions. Profile and Skills: PhD or equivalent in a technical discipline (e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as More ❯

both technical and non-technical stakeholders. Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems. Desirable: PhD or equivalent qualification and experience in Machine learning or AI/Computer Science Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. More ❯

communication skills with ability to translate complex data insights for non-technical stakeholders Experience implementing data governance and compliance measures, particularly with GDPR and healthcare regulations Nice to have: PhD in a relevant field Experience with electronic health records (EHR) systems Knowledge of FHIR standards and healthcare interoperability Background in natural language processing for medical text analysis Experience with real More ❯

Coding/programmer/Coder/BSc/BEng/MMath/Meng/MSc/MA/Computer Science/research/science/post-doc/post-doctorate/Ph.D./Mathematics/Natural Sciences/Engineering/Physics/Astrophysics/Trainee/Entry Level/Junior/Start-up More ❯

learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. PhD (or equivalent qualifications and experience) in machine learning or AI/computer science Exposure to research-oriented work or contributions to open-source projects in the AI domain. Internship experience More ❯

matter knowledge in a wide range of topics from epidemiology, biostatistics or infectious disease modelling and experience of programming in R/R Studio. Essential criteria for appointment include: - PhD in a relevant quantitative topic (e.g. epidemiology, biostatistics, health data science, infectious disease modelling, computer science or applied mathematics) - Ability to develop and encourage the commitment to learn in others More ❯

tools. We are looking for experienced embedded engineers with a very strong academic background in a numerical subject (e.g. maths, physics or computer science) or of similar calibre. Requirements: PhD, first class or 2:1 from well ranked university 7+ years software experience (or equivalent) working at silicon or networking companies. Proven commercial experience developing in C Experience of python More ❯

by enhancing data science,bioinformatics and statistical capabilities. Manages internal and external collaborations with academic andcommercial partners. Leads, mentors and trains junior team members. What we're looking for: PhD with at least 2 years of industry experience or MSc with 5 or more years of relevant experience in bioinformatics, computational biology, data science or a related field. Hands-on More ❯

active member of a Scrum team. Collaborate using tools such as Git, JIRA, Slack and wiki pages. Minimum Qualifications Knowledge of Software Engineering processes and practices. Master's or PhD degree in Mathematics, Mechanical Engineering, Computer Science or a related field. Good understanding of linear algebra, numerical methods, analytical geometry and computational geometry. A flexible and fast learner and keen More ❯

the delivery of a ZKP-enabled blockchain application of production grade. Cryptography: hashes, including modular field hashes, PKCS standards, X509, signatures, elliptic curve cryptography. STEM background, likely to be PhD qualified, although relevant experience is equally acceptable. Understand the volatile nature of the blockchain industry and manage the expectations and work based on the ups and downs. Strong communication skills More ❯

at key conferences and in leading publications This project is in collaboration with Prof. Andrew Gelman at Columbia University, and Dr Stanley Lazic at AstraZeneca. Education and Experience Required: - PhD in Statistics, Computer Science, Data Science, or similar - Excellent knowledge of either R or Python (ideally both) - Knowledge of Bayesian statistics - Knowledge of modern Bayesian software such as Stan and More ❯

proposals Mentoring junior researchers and providing technical leadership across graph and semantic AI Presenting to customers and stakeholders across defence, security, and research communities What we're looking for: PhD (or equivalent experience) in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like More ❯

guiding novel research directions in reinforcement learning, NLP, RF, autonomy, and more Working closely with customers and stakeholders across defence, security, and commercial sectors What we're looking for: PhD (or equivalent experience) in a relevant AI/ML discipline 10+ years of experience in AI/ML, ideally in defence or applied research Deep knowledge of modern machine learning More ❯

research progress, contribute to patent filings, and support knowledge sharing within the team Participate in a collaborative, learning-focused environment that values innovation, openness, and personal growth Skills & Experience: PhD in Computer Science, Electrical Engineering, or equivalent industry research experience Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with More ❯

and non-technical audiences Identify and propose novel research opportunities, fostering collaborations with academic and industry partners Contribute to high-profile research proposals (e.g., Dstl, EPSRC, NS) About You PhD in a relevant field (AI, Machine Learning, Computer Science, Mathematics or related discipline) Around 10+ years' experience in AI/ML research and development in industry or academia, preferably within More ❯

Mentor junior researchers and manage technical delivery across projects Present findings to both technical and non-technical audiences Engage with external collaborators, including academia and innovation partners About You PhD (ideally in AI, Machine Learning, Computer Science, or related field) + 4+ years post-doctoral or industry R&D experience Strong experience leading small R&D teams (ideally 5+ people More ❯

hardware and algorithms, and enabling the seamless interface between electronics, mechanical, firmware and algorithms. Requirements: You’ll hold a degree in electronic engineering or applied physics (and likely a PhD or Master’s). Your relevant experience will include research and industrial development with sensor technologies (ideally touch sensors) and system integration. Technical skills you’ve used will include MATLAB More ❯