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We welcome applications from candidates with disabilities, neurodiversity and long-term health conditions, and we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the recruitment and interview process wherever it is reasonable to do so and, where successful, adjustments will be made to support people within their role. If you are unable to complete your application via our recruitment system or would like to discuss any reasonable adjustments to support you in the application process, please get in touch with us on Job Description - KTP Associate in Machine Learning () Job Description KTP Associate in Machine Learning ( Job Number: ) Department of Computer Science Fixed Term - Full Time Contract Duration : 30 months Closing Date Closing Date : 21-Jul-2025, 10:59:00 PM Disclosure and Barring Service Requirement : Not Applicable. Durham University is one of the world's top universities with strengths across the Arts and Humanities, Sciences and Social Sciences. We are home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives. The University sits in a beautiful historic city where it shares ownership of a UNESCO World Heritage Site with Durham Cathedral, the greatest Romanesque building in Western Europe. A collegiate University, Durham recruits outstanding students from across the world and offers an unmatched wider student experience. Less than 3 hours north of London, and an hour and a half south of Edinburgh, County Durham is a region steeped in history and natural beauty. The Durham Dales, including the North Pennines Area of Outstanding Natural Beauty, are home to breathtaking scenery and attractions. Durham offers an excellent choice of city, suburban and rural residential locations. The University provides a range of benefits including pension and childcare benefits and the University's Relocation Manager can assist with potential schooling requirements. Durham University seeks to promote and maintain an inclusive and supportive environment for work and study that assists all members of our University community to reach their full potential. Diversity brings strength and we welcome applications from across the international, national and regional communities that we work with and serve. The KTP Project: The KTP Associate will lead a Knowledge Transfer Partnership (KTP) project that is a collaboration between Durham University and MoniRail Ltd based in Birmingham. The Knowledge Transfer Partnership (KTP) scheme helps businesses to innovate and grow through the aid of discipline specific academic expertise. It does this by linking them with an academic supervisory team and a researcher in a university to work on a specific project. Working alongside a close-knit team of developers and engineers, the KTP Associate will lead an innovative project to design, develop and implement predictive machine learning models for track and vehicle degradation using cutting-edge deep machine learning, and will integrate these into MoniRail's real-time monitoring system to deliver intelligent, data-driven maintenance insights. MoniRail Ltd is a pioneering UK-based company specialising in non-intrusive, in-service railway condition monitoring. MoniRail leverages over 20 years of cutting-edge research to deliver innovative solutions for the rail industry. Their system utilises lightweight Inertial Measurement Units installed on operational passenger and freight trains to continuously monitor track geometry, ride comfort and vehicle performance. This approach enables real-time data collection without disrupting regular rail services, which enables early detection of track degradation and facilitating predictive maintenance strategies. Durham University is home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives. The Department of Computer Science is a UK Top 10 Department (Complete University Guide 2025) and ranked in the 20 th position for research excellence (REF 2021). Computer Science also holds an Athena Swan Silver Award. Specific responsibilities: The successful candidate will lead the development of advanced machine learning models for predictive maintenance in railway systems, working closely with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected from in-service trains. This data will be used to identify early signs of track and vehicle degradation, to allow for a shift from reactive to condition-based maintenance. The candidate will be expected to carry out high-quality research at the intersection of AI, signal processing and applied railway engineering. They will collaborate with MoniRail's development and engineering teams to integrate developed models into the company's existing solutions, so the outputs are scalable, reliable and deployable in real-world operational settings. In addition, the candidate will adhere to the following responsibilities: Develop a wide range of skills within the cutting edge of computer science, through studies in state-of-the-art research, lectures and seminar attendance. Develop technical expertise in machine learning, predictive modelling and sensor data analytics within a transport engineering context. Implement state-of-the-art solutions and identify solutions to technical problems. Contribute to the planning and execution of the KTP workplan to deliver on defined technical milestones. Research, prototype and validate models using MoniRail's datasets and publicly available data and ensure that they are up to the company's and university's standards. Communicate progress through regular project meetings and written reports. Attend regular project meetings and periodic evaluations Work with developers to prepare code for deployment and support product integration. Produce technical documentation, user guides and internal training materials. Contribute to academic outputs, including drafting research papers and conference presentations and participate in dissemination activities. Responsible to: Dr Amir Atapour-Abarghouei , Assistant Professor, Department of Computer Science, Durham University. Dr Stuart James , Assistant Professor, Department of Computer Science, Durham University. Dr Mani Entezami, Chief Technology Officer, MoniRail Ltd. Location:The KTP Associate will be employed by Durham University but will be based at MoniRail, Birmingham, and will be expected to spend time in Durham University to undertake the partnership's objectives. Additional Information: For an informal discussion about the post please contact: A PhD degree in Computer Science or related subject, strong alternative postgraduate qualifications or significant complimentary experience. 2. Experience Experience of conducting research and development projects in the area of machine learning, deep learning, predictive modelling and multimodal learning. Experience in managing and processing big datasets. Formal academic and report writing of a quality commensurate with higher education qualifications Strong ability in programming languages, including Python, C/C++, dotNet, and one or more deep learning development environments e.g., PyTorch, TensorFlow. Knowledge of Geospatial applications of Machine Learning. Familiarity with current software development best practices, e.g., source control, code review and continuous integration/deployment. Managing a Linux-based system, using cloud computing resources or computer clusters. Experience in MATLAB to understand existing aspects of codebase. Experience using Docker for managing development and deployment environments. Familiarity with the development of RESTful or similar APIs. Publications in highly ranked journals and conferences. Experience in collaboration projects with academic/industry colleagues for software development. Experience in presenting research findings at national/international venues. 3. Skills Excellent written and spoken English. Effective interpersonal and communication skills. Appropriate mathematical and computational skills to be able to undertake the technical development laid out in the project description. Demonstrable ability to work cooperatively as part of a team. Self-motivation and ability to work autonomously and to schedule on agreed tasks. Presentation and communication skills to a wide target audience. Ability to propose and discuss novel research ideas for solving a problem. Ability to attract collaboration and opportunities for the project. Ability to plan and manage independent research. 4. Attributes Comfortable working cooperatively in a team, working independently on their own initiative and to strict deadlines. Interested in research and development. Adapting to ever-changing environment and business needs with a willingness to learn and explore state-of-the-art knowledge. Attributes to provide high-quality input and recommendations to inform decisions of the others. . click apply for full job details

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Research Assistant/Associate (Cancer Research) Requisition ID: 28212 Location: Newcastle, GB Contract Type: Fixed Term Working Pattern: Full Time Research Assistant: £32,546to£34,132per annum Research Associate:£35,116 to£45,413 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. The Role We have an exciting opportunity to work on a Cancer Research UK-funded project investigating the mechanistic role of mitochondrial DNA mutations in intestinal cancer biology using a range of cutting-edge models and technologies. You will then use this knowledge to identify potential strategies for novel cancer therapy development. The project is led by Professor Laura Greaves in collaboration with the CRUK Scotland Institute and Cambridge University. In this role, you will be embedded within the Newcastle University Centre for Cancer in the Biosciences Institute at Newcastle University, hosting one of the UK's largest groupings of mitochondrial geneticists and cancer biologists spanning the full range of approaches from molecular genetics to in vivo modelling and drug discovery. You will be responsible for generating and analysing novel in vivo and in vitro models of intestinal cancer using a range of techniques (mtDNA editing, in vivo imaging, histology/immunofluorescence, spatial profiling, computational modelling), You will use your knowledge and experience of mitochondrial genetics and metabolism, in vivo models and intestinal biology to deliver this challenging project. This post is fixed term for a period of 3 years. As part of our commitment to career development for research colleagues, the University has developed 3 levels of research role profiles . These profiles set out firstly the generic competences and responsibilities expected of role holders at each level and secondly the general qualifications and experiences needed for entry at a particular level. Key Accountabilities Although working under the general guidance of an academic or Principal Investigator, the postholder will contribute ideas, including enhancements to the technical or methodological aspects of their studies, thus providing substantial 'added value' Develop and carry out the specified project using appropriate techniques and equipment as outlined in the personal requirements Determine appropriate methodologies for research, with advice and support where required Contribute to grant applications submitted by others and in time develop own research objectives and proposals for funding Begin to write, with appropriate support, proposals for individual research funding or, where funders do not permit this, contribute to the writing of collective bids Assess research findings for the need/scope for further investigations Contribute to the writing up of their research for publication and dissemination, either through seminar and conference presentations or through publications Present research findings, either at conferences or through publications in reputable outlets appropriate to the discipline May be involved in the supervision, with guidance, of final year undergraduate research projects and in providing support to postgraduate research students or Research Assistants Will need to work with the support staff and, on occasions, with undergraduate and postgraduate students, and interact intellectually with other academic members of the Institute. May contribute to events celebrating the public engagement of science/social sciences/humanities Develop an awareness of University structures, policies and procedures and relevant issues in the higher education, research, social and political environment The Person Knowledge, Skills and Experience Ability to work well as part of a team and rapidly acquire new skills Detailed knowledge of mitochondrial genetics and biology Likelihood of advanced skills directly related to the research projects High level of analytical and problem-solving capability Ability to communicate complex information with clarity and to encourage the commitment of others Experience of research with clear transferable skills and some experience or awareness of the research environment Presentations at conferences and/or high-quality publications The ability to work collaboratively with colleagues and manage and co-ordinate complex projects across multiple research teams. Extensive experience of working with mouse models of intestinal cancer Excellent skills in preparing both mouse and human tissues for histological analysis Excellent skills in fluorescence microscopy and high-throughput image analysis Experience of working with a Home Office Personal Licence (PIL) under Animal (Scientific Procedures) Act 1986 (ASPA) Skills in bioinformatics (e.g. knowledge of Matlab, R, Python) Experience of complex in vitro organoid culture techniques Attributes and Behaviour Able to work independently as well as part of a team Enthusiastic and hard working Willingness to work outside normal office hours on occasion if required A commitment to research as evidenced by completion of previous research projects and publications Willingness to engage with and disseminate research to the public Qualifications Good honours degree (2:1 or equivalent) with some subject knowledge of mitochondrial biology/genetics and/or intestinal cancer biology (Research Assistant) A PhD in mitochondrial biology/genetics or intestinal cancer biology required (Research Associate) Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution. We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population. At Newcastle University we hold a silverAthena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme. In addition, we are a member of the Euraxess initiative supporting researchers in Europe.

Applications are invited for two Assistant Professors at the new Bennett School of Public Policy in the Faculty of Human, Social and Political Science (BSPP). The start date for these roles will be August 2025. This is an exciting opportunity to join the new Bennett School of Public Policy (BSPP) at its inception. The BSPP will be part of the Faculty of Human, Social and Political Science. The BSPP has an ambitious growth plan including launching a new M.Phil in Digital Policy alongside an expanded M.Phil in Public Policy, and the development of a new PhD programme. These Lecturers will play a leading role in helping establish a new M.Phil in Digital Policy and also in relation to the existing, highly successful M.Phil Programme in Public Policy. Candidates will be expected to have a PhD in any relevant discipline, with FHEA accreditation and curriculum development experience desirable. We are looking for scholars with an excellent track record in both research and teaching in any areas of public policy. We particularly welcome candidates with a background in relevant technical and quantitative methods and expertise in relation to digital public policy and technological innovation. The successful candidates will have a record of research publications commensurate with the international reputation of the University of Cambridge. The candidate should show an outstanding record of publications, which may include published monographs or monographs nearing publication, that demonstrate a clear research trajectory and promise. The candidate will be expected to provide at least 40 hours of lectures and seminars annually, supervise M.Phil dissertations, conduct small-group teaching (supervisions), and perform academic administration and examining. The successful candidate is expected to contribute positively to the teaching of the BSPP. The Department is expanding the existing M.Phil in Public Policy and launching a new M.Phil in Digital Policy, expanding to around 100 students in the first instance. The post-holder will: (i) deliver teaching for both M.Phil and the PhD programmes; (ii) take on a range of necessary administrative duties in the Dept; (iii) conduct original research of the highest international standards; (iv) contribute to other teaching where appropriate. Candidates must be able to show evidence of research of international standing, demonstrate a willingness and ability to contribute collegially to the life of the new BSPP, and possess a flexible approach to teaching and administrative duties. In order for applications to be considered, applicants must upload: Covering letter, explaining the reasons for your application and how your knowledge, skills and experience match the requirements of the role you are applying for. A teaching statement, outlining your experience, interests, and approach to teaching both larger lectures and smaller groups. A research statement, outlining your plans for research, scholarship and grant capture over the next 5 years. If available, two recently-published research articles. A Curriculum Vitae (CV), to include full details of educational qualifications and academic experience, and a list of publications. The closing date for applications is midnight (GMT) on 10 March 2025 and interviews are expected to take place on 1 and 2 April 2025, subject to change. Applications should be made online. Applicants must provide the names and contact details of three referees who are familiar with their work. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. We particularly welcome applications from candidates from a BAME background for this vacancy as they are currently under-represented at this level in our department. Please quote reference JB45017 on your application and in any correspondence about this vacancy. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.