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Organisation/Company LIVERPOOL JOHN MOORES UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 7 May 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The School of Computer Science and Mathematics is dedicated to producing research that has real-world application, boasting specialisms in immersive technologies, applications of artificial intelligence, trustworthy computing technologies and data science. Responsibilities Contribute to the continued enhancement of the courses within the Computer Science and Mathematics programmes, developing and delivering innovative and engaging curricula across undergraduate and postgraduate teaching. Deliver intellectually stimulating teaching while motivating and supporting students in their learning. Conduct research in your area of expertise and undertake scholarly activities in computer science to ensure curriculum is up-to-date and meets the needs of students and employers. Contribute to the development and delivery of outreach and engagement initiatives as well as interdisciplinary project areas. Qualifications Highly motivated and enthusiastic Lecturer with experience in Ethical Hacking, System Penetration, Secure Software Development, Information Security and Cryptography. PhD in a related subject and/or relevant professional experience from industry. Experienced or certified in Ethical Hacking strongly desired. What we offer This is a key moment to join a welcoming, ambitious, and research-informed university community that places students at the heart of everything we do. We value and invest in our staff, offering meaningful opportunities for professional development, scholarship support, and clear internal promotion routes. As well as outstanding development support, we also offer: A low contractual 35-hour week Generous annual leave entitlement and Christmas period closure with the option to purchase additional annual leave Access to an Employee Assistance Programme Family friendly policies Car and travel loan schemes Equality, Diversity and Inclusion We are committed to promoting equality and diversity, including the Athena SWAN Gender Equality charter for promoting the careers of Women in STEM. We particularly welcome applications from women for this post, and all appointments will be made on merit. Please let us know if you require reasonable adjustments during the recruitment process. Application Information All vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.

A leading UK university in Liverpool seeks a full-time Lecturer in Computer Science to enhance academic courses and deliver innovative teaching. The ideal candidate will have a PhD in a related field and experience in Ethical Hacking, secure software, and information security. The university offers a supportive environment with opportunities for professional development, generous leave, and family-friendly policies.

Offer Description Contract: 0.4 fte (Fixed term for 6 months) Liverpool John Moores University (LJMU) is a distinctive, unique institution rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. We are looking for a person with a good Honours Degree in Geography, Geology, Anthropology, Archaeology, Forensic Science, Environmental Science or a similar subject, to work as a part time Research Assistant with Professor Hunt in a laboratory based project on the geoarchaeology of the Neanderthal "Flower Burials" at Shanidar Cave, Iraq. Responsibilities Participate in day to day running of the research project. Perform sediment granulometry and geochemistry analyses. Record, enter, and interpret data. Communicate with Professor Hunt and the wider Shanidar Project team. Assist with production of internal reports and manuscripts for publication. Qualifications Good Honours Degree in Geography, Geology, Anthropology, Archaeology, Forensic Science, Environmental Science or a similar subject. Enthusiastic and highly organised individual. Experience or training in sediment analysis techniques preferred. Benefits In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family friendly policies. LJMU also supports fixed term researchers, providing 10 days of professional development activities per year (pro rata). LJMU is an equal opportunities employer and welcomes applicants from all backgrounds and communities irrespective of age, transgender status, disability, gender, sexual orientation, ethnicity and religion or belief. All appointments are made on merit.

A leading research institute in Norwich is offering a Postdoctoral Scientist position to investigate bacterial genome evolution in relation to the human microbiome. The position requires a PhD in a relevant field, with skills in metagenomics, statistics, and programming. The role is full-time on a 24-month contract, with a salary range of £37,500 to £43,350 per annum. This opportunity is ideal for individuals passionate about research and offers a supportive environment for career development.

Organisation/Company Quadram Institute Bioscience Department Biochemistry and Metabolism Research Field Biological sciences " Biology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 17 May 2026 - 23:59 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications are invited for a Postdoctoral Scientist to join the laboratory of Prof Falk Hildebrand at Quadram Institute Bioscience (QIB), Norwich, UK. Background: The human microbiome is shared among family members in all life stages (doi:10.1016/j.chom.2021.05.008). To investigate potential mechanisms and the impact on bacterial evolution, we created the PEARL-AGE cohort in Norwich ( ), collecting samples from multi-generational families longitudinally, as well as biodata. The role: The project will investigate how bacterial genomes evolve in closely related family members. Specifically, adaptation to individuals through genetic mutation and DNA modification will be investigated, relying on 3rd generation DNA sequencing from hundreds of faecal metagenomes. The project will investigate the following questions: Which gut microbes are most prone to colonise family members, and what are likely genetic determinants? How can some bacteria persist for decades in the same host? Are there unique genetic adaptations to each host or each host family? The environment: The Hildebrand group ( ) uses metagenomics to research the diversity, interactions, and evolution of microbial communities using custom software solutions. The group is jointly based at the Quadram Institute Bioscience and Earlham Institute, to bridge data and life science, developing software such as LotuS3 and MATAFILER and pushing the limits of high-resolution metagenomics ( ). The ideal candidate: The ideal applicant holds a PhD (or equivalent) in biology, bioinformatics, computer science or a related discipline, with a background and/or interest in at least one of the following subjects: Microbiomes & biodiversity Metagenomics & patient cohorts Ecology & evolution Experience in conducting scientific experiments independently, writing papers, scientific presentations is required. Skills in statistics, programming, working with human cohorts, comparative genome analysis, determining genetic adaptation, analysing DNA modifications (methylation), grant writing are beneficial. Specialised skills will be taught and developed through mentorship and collaborations. Additional information: Salary on appointment will be within the range £37,500 to £43,350 per annum depending on qualifications and experience. This is a full-time post for a contract of 24 months. For further information and details of how to apply, please visit our website or contact the Human Resources team on or quoting reference . This role meets the criteria for a visa application, and we encourage all qualified candidates to apply. Please contact the Human Resources Team if you have any questions regarding your application or visa options. We are committed to equal opportunities and welcome applications from all sectors of society. The Institute supports equality of opportunity within the workplace and expects all employees to share and display these values. To support our commitment, we have a range of family, faith and diversity friendly working arrangements to help all staff achieve excellence in their area of work. As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy. About the Quadram Institute: The Quadram Institute is located on the Norwich Research Park, one of Europe's largest single-site concentrations of research in food, genomics, and health. The Park hosts four BBSRC institutes (including Quadram), around 17,000 students, 3,000 researchers and clinicians, and more than 115 companies. Its researchers are internationally recognized, with 10 scientists ranked among the top 1% of the world's most highly cited, including Prof Hildebrand (2024 & 2025). Norwich is regularly ranked among the top UK cities to live in, known for its historic city centre and vibrant food and coffee culture. In 2026 it was named the "best UK city to live in" (). Closing date for applications: 17 May 2026. Interviews are planned for week commencing 1 June 2026. Quadram Institute Bioscience is a registered charity (No. ) and is an Equal Opportunities Employer.

A leading research university in Southampton is seeking a motivated Machine Learning Researcher to develop advanced models for semiconductor fabrication. This role involves engaging with complex datasets and collaborating with fabrication engineers. Interested candidates will work on optimizing manufacturing processes and contribute to innovative technology commercialization through a spinout company. The position offers significant exposure to nanofabrication and opportunities for publishing in top journals.

Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 14 May 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Semiconductor fabrication is one of the most complex and precision-driven forms of manufacturing. At nanometre scales, even subtle variations in process conditions can introduce defects that degrade device performance, reduce yield, and drive up production costs. Addressing this challenge requires new modelling approaches that can capture the full complexity of fabrication processes and enable optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning directly from experimental and process data, these models will enable a shift from iterative, trial-and-error fabrication towards predictive and data-driven manufacturing. We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in the group of Dr Yasir Noori. In this role, you will work at the interface of machine learning and semiconductor engineering, developing models that predict post-fabrication device characteristics from process parameters. You will engage with complex, high-dimensional datasets derived from real fabrication workflows, including microscopy, spectroscopy, and electrical performance measurements. You will work closely with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures, and evaluate their ability to generalise across different process conditions. The models you develop will not remain confined to the research lab, but will be validated experimentally and tested at an industrial scale in collaboration with global companies in semiconductor fabrication and electronic design automation. The position offers a rare opportunity to apply machine learning to an important technical challenge with substantial potential impact. You will also be involved in supervising PhD students and junior researchers and play a central role in shaping the research direction of the team. Your work is also expected to contribute to the development of innovative technologies with a clear pathway to commercialisation through the spinout company Deep Fabrication, to influence how semiconductor manufacturing is approached in practice. The role will provide you with deep exposure to nanofabrication processes, experience working with industry-relevant datasets and problems, and the opportunity to publish in leading journals and conferences. It is particularly well-suited to candidates who are motivated by applying machine learning to real-world systems where the underlying physics is complex and not fully understood. This position is offered for 24 months in the first instance, with the possibility of extension for a further 12 months.