1 to 25 of 54 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 ❯

and in multi-cultural environments, be flexible and willing to adapt within a fast-changing business environment. We would expect the successful candidate to have: A master's or PhD degree in bioinformatics, computational biology, statistics, data science or a related scientific discipline, or equivalent previous experience working in industry Demonstrated understanding of statistical analysis and application of mathematical techniques More ❯

and in multi-cultural environments, be flexible and willing to adapt within a fast-changing business environment. We would expect the successful candidate to have: A master's or PhD degree in bioinformatics, computational biology, statistics, data science or a related scientific discipline, or equivalent previous experience working in industry Demonstrated understanding of statistical analysis and application of mathematical techniques 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 ❯

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 ❯

s next generation of AI hardware. Engage with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to 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 ❯

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 ❯

in conjunction with a working understanding of cell biology and/or biophysics. The level of the position will depend on the qualifications of the selected candidate. Minimum Qualifications - PhD in Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Relevant industry and/or academic experience. Expertise and a track record of using 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 ❯

debug skills across various levels of design hierarchies. Must have good communication skills and the ability to work in a worldwide team environment. ACADEMIC CREDENTIALS: Bachelors or Masters or PhD in Computer engineering/Electrical engineering/Electronics Engineering Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or More ❯

in transitioning R&D into commercial products through testing and validation Engage with customers and field teams to solve real-world technical challenges Requirements Essential: Degree (ideally MSc/PhD) in Physics, Electrical Engineering, Systems Engineering, or Applied Mathematics Strong analytical background in areas such as image processing, control systems, or fluid mechanics Experience working across hardware, firmware, and software More ❯

in transitioning R&D into commercial products through testing and validation Engage with customers and field teams to solve real-world technical challenges Requirements Essential: Degree (ideally MSc/PhD) in Physics, Electrical Engineering, Systems Engineering, or Applied Mathematics Strong analytical background in areas such as image processing, control systems, or fluid mechanics Experience working across hardware, firmware, and software 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 ❯

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 ❯

and co-develop AI solutions. Experiment with new tools, models, and techniques to keep Arm at the forefront of AI productivity engineering. Required Skills and Experience : BS, MS, or PhD or equivalent experience in Computer Science, Machine Learning, Engineering, or a related field. Production experience building LLM-powered applications and integrating them into larger systems. Hands-on expertise tuning and More ❯

would be advantageous. Proven analytical skills in circuit simulation. Experience of working with Industry standard toolsets (e.g. DOORs). Required Education/Experience: BEng/MSc/MEng/PhD in Electrical/Electronic Engineering or similar, with appropriate specialisation in FPGA/Firmware/digital design techniques and embedded development. Candidates with other qualifications and relevant experience will be More ❯