Research Assistant in Data Processing for AI-Enabled Tree Species Mapping
University of Sheffield - Sheffield
TemporaryPart time
University of Sheffield We are inviting applications for a Research Assistant to support the following project Next-Generation Forest Inventory (NextGen-FI): Open-Set Recognition for Monitoring Illegal Logging (NextGen-Fi). The post will contribute to the development and validation of unique Unpiloted Airborne Vehicle [UAV] datasets. The work will focus on UAV data management, orthophoto optimisation and generation, and output coding. Datasets will be shared with the project team. The successful candidate will work with academic and stakeholder partners to generate model-ready UAV datasets and develop evidence to support the evaluation of AI and machine learning models. This may include investigating data-centric AI strategies, such as data quality assessment, annotation refinement, dataset curation, and augmentation, alongside conventional model evaluation. The role will also involve documenting methods and results for project deliverables, reports, and publications. The post is suited to candidates with either a good MSc or a with a PhD awarded or close to completion (or equivalent experience) in UAV data processing, GIS or related disciplines, and who is motivated to develop deployable and repeatable UAV data generation protocols and outputs . The post is for the duration of 12 months and for a maximum of 20 hours per week. The School of Geography and Planning is a world-leading centre for research and education in geographical science and geospatial analysis. It seeks to further the study of geography and geoscience disciplines through high quality research and impact. As part of this post you will also work closely with the world class School of Computer Science at Sheffield. You will join an interdisciplinary team bridging AI, Machine Learning and Forest Conservation to develop next-generation forest inventory tools based on Open Set Recognition. The University of Sheffield is a remarkable and inclusive place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university. We are inviting applications for a Research Assistant to support the following project Next-Generation Forest Inventory (NextGen-FI): Open-Set Recognition for Monitoring Illegal Logging (NextGen-Fi). The post will contribute to the development and validation of unique Unpiloted Airborne Vehicle [UAV] datasets. The work will focus on UAV data management, orthophoto optimisation and generation, and output coding. Datasets will be shared with the project team. The successful candidate will work with academic and stakeholder partners to generate model-ready UAV datasets and develop evidence to support the evaluation of AI and machine learning models. This may include investigating data-centric AI strategies, such as data quality assessment, annotation refinement, dataset curation, and augmentation, alongside conventional model evaluation. The role will also involve documenting methods and results for project deliverables, reports, and publications. The post is suited to candidates with either a good MSc or a with a PhD awarded or close to completion (or equivalent experience) in UAV data processing, GIS or related disciplines, and who is motivated to develop deployable and repeatable UAV data generation protocols and outputs . The post is for the duration of 12 months and for a maximum of 20 hours per week. The School of Geography and Planning is a world-leading centre for research and education in geographical science and geospatial analysis. It seeks to further the study of geography and geoscience disciplines through high quality research and impact. As part of this post you will also work closely with the world class School of Computer Science at Sheffield. You will join an interdisciplinary team bridging AI, Machine Learning and Forest Conservation to develop next-generation forest inventory tools based on Open Set Recognition. The University of Sheffield is a remarkable and inclusive place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university. We offer a fantastic range of benefits including a generous annual leave entitlement (with the ability to purchase more), a generous pension scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more.
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Clinical Research Ops Manager – Radiology Research & AI Imaging Hub
The Royal Marsden NHS Foundation Trust - Sutton
£63,665 - £70,887 per annum
ContractFull time
A Vacancy at The Royal Marsden NHS Foundation Trust. An exciting opportunity has arisen for an experienced research or operational manager to join Radiology Research and the Artificial Intelligence Imaging Hub at The Royal Marsden. Working closely with the AI Imaging Hub Directors and the Head of Investigator Initiated Trials, the Senior Scientific Manager will provide senior operational management and coordination across a multidisciplinary portfolio of imaging and AI research. The role will support study set-up and delivery, portfolio and financial oversight, governance and procedures, funding applications, workforce development and collaboration with academic, NHS and industry partners. We are looking for someone with substantial experience of research management, trial management or operational delivery in a clinical, scientific or academic environment, including portfolio, budget and reporting responsibilities. Experience of line management and multidisciplinary working, together with knowledge of clinical research governance and regulatory requirements, is essential. Experience of imaging, radiology, nuclear medicine or AI-enabled research would be advantageous. • The Senior Scientific Manager will support the Directors in the operational management and coordination of the Radiology Research Group and Artificial Intelligence Imaging Hub, working across scientific, clinical and research support teams. • The post holder will coordinate the people, processes and partnerships needed to deliver agreed imaging and AI research priorities and support the safe translation of digital tools for patient benefit. • The post holder will support an effective and inclusive working environment, including staff induction, development, recruitment and retention, within agreed workforce plans and delegated authority. • The post holder will coordinate engagement with academic and industry partners, identify funding and collaboration opportunities, and advise the Directors on operational requirements. Strategic and scientific direction and final decisions will remain with the Hub Directors. The Royal Marsden NHS Foundation Trust is a world-leading cancer centre. Our role is to offer our patients the best cancer care available anywhere in the world, and to continue to make a global contribution to finding better ways of diagnosing and treating cancer. We employ over 4,500 staff in a diverse range of careers including nursing, medical, science, radiography, pharmacy, occupational therapy, finance and administrative services. We have two hospitals – one in Chelsea, London, and one in Sutton, Surrey – as well as a Medical Daycare Unit in Kingston Hospital. At The Royal Marsden, we deal with cancer every day, so we understand how valuable life is. When people entrust their lives to us, they have the right to demand the very best. That's why the pursuit of excellence lies at the heart of everything we do. At the heart of the hospital is our dedicated team. We offer a stimulating and dynamic working environment, a wide range of staff benefits, learning and development opportunities and clear career pathways. There are opportunities to work flexibly across a range of areas and specialities and we welcome flexible working requests from point of hire to support employees work life balance. We are looking for employees who aspire to excellence, share our values and can play a crucial role in our on-going achievements. For further information on this role, please see the attached detailed Job Description and Person Specification: • Work with relevant imaging departments to implement agreed research priorities, coordinate delivery plans, identify operational requirements, monitor progress and escalate risks. Support effective multidisciplinary working across the Hub and its stakeholders. Strategic and scientific direction will remain with the Directors. • Coordinate opportunities to share expertise with other centres and provide operational support for the set-up and delivery of multicentre imaging studies. • Provide quarterly and annual reports on activities relating to the Hub • Coordinate the development of funding applications for imaging research projects, working with investigators, finance and research support teams to ensure costings follow national and local requirements. • Support the identification of funding streams and contribute to grant applications. Monitor and report income and expenditure against approved budgets and escalate variances through the agreed route. • Maintain collaborative working with the RMH BRC, RMH CRF, the ICR and relevant NIHR groups to support delivery of agreed cancer imaging and AI research priorities. • Maintain awareness of relevant technology, policy, funding and regulatory developments (i.e NHSX, HDR UK Gateway, NHS Digital, Innovate UK, EPSRC), and advise the Directors and wider team on their operational implications. • Support dissemination of cancer imaging developments by coordinating publication and presentation opportunities and maintaining effective working partnerships. This advert closes on Thursday 24 Sep 2026
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Clinical Research Ops Manager – Radiology Research & AI Imaging Hub
NHS Jobs - Sutton
£63,665 to £70,887 a year
ContractFull time
For further information on this role, please see the attached detailed Job Description and Person Specification: Work with relevant imaging departments to implement agreed research priorities, coordinate delivery plans, identify operational requirements, monitor progress and escalate risks. Support effective multidisciplinary working across the Hub and its stakeholders. Strategic and scientific direction will remain with the Directors. Coordinate opportunities to share expertise with other centres and provide operational support for the set-up and delivery of multicentre imaging studies. Provide quarterly and annual reports on activities relating to the Hub Coordinate the development of funding applications for imaging research projects, working with investigators, finance and research support teams to ensure costings follow national and local requirements. Support the identification of funding streams and contribute to grant applications. Monitor and report income and expenditure against approved budgets and escalate variances through the agreed route. Maintain collaborative working with the RMH BRC, RMH CRF, the ICR and relevant NIHR groups to support delivery of agreed cancer imaging and AI research priorities. Maintain awareness of relevant technology, policy, funding and regulatory developments (i.e NHSX, HDR UK Gateway, NHS Digital, Innovate UK, EPSRC), and advise the Directors and wider team on their operational implications. Support dissemination of cancer imaging developments by coordinating publication and presentation opportunities and maintaining effective working partnerships.
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Low-Code Analyst Developer (Microsoft Copilot Studio & AI Agents)
Portsmouth City Council -
Civic Offices, Portsmouth
£39,151 to £42,838 a year
PermanentFull time
This is an exciting opportunity to play a key role in advancing the Council’s use of generative AI, turning high-value business challenges into innovative Microsoft Copilot Studio solutions that enhance efficiency, access to information and service delivery. Your new role Join us at the forefront of digital transformation, designing and delivering innovative AI-powered solutions that improve services for residents and staff. You will develop and enhance Microsoft Copilot and AI agent experiences, connecting them to trusted council data sources and business processes to provide accurate, secure and meaningful support. Working across the full solution lifecycle, you will build, test and deploy AI-driven services, integrate automation and APIs, and continually refine performance through prompt engineering and user insights. You'll play a key role in ensuring all solutions are delivered safely and responsibly, with strong governance, information security, data protection and compliance at their core. This is an exciting opportunity to shape how AI is used across the council, creating practical, user-focused solutions that drive efficiency, enhance customer experience and support better outcomes for our communities. Who is the person summary: We're seeking a skilled and innovative professional with experience in Microsoft Copilot Studio, the Microsoft Power Platform and low-code technologies, with a proven ability to design, build and deploy AI-powered conversational solutions. You'll have a strong understanding of Generative AI, prompt engineering, Power Automate integrations and user-centred design, ensuring digital solutions are accessible, intuitive and deliver real value for users. You'll be an analytical problem-solver with excellent communication skills, able to translate complex business requirements into practical solutions and explain technical concepts to non-technical audiences. Working collaboratively in an agile environment, you'll champion accessibility, ethical AI principles and continuous improvement, helping the council deliver responsible, user-focused digital services for staff and residents. For full details, please review 'who is the person' on the job profile below attached. About Portsmouth City Council Portsmouth City Council is a unique organisation, committed to making a difference, and is guided by core values that set who we are as people, what we stand for, and how we act. We are committed to our values of respect, integrity, collaboration, inclusivity and being people-focussed. These values set out how we can contribute to the success of the council and our own success as individuals. Learn more about our values and behaviours. Additional Information Please ensure that you read the job profile for full details on the post.We offer hybrid working with the expectation to attend the office minimum 2 days a week (pro rata for part time), this remains flexible, depending on the role and subject to business needs. We are not able to offer sponsorship for this position. Our recruitment process Full information about our recruitment process can be found on our support for applicants' page: Support for applicants - Careers portal You must demonstrate why you are suitable against each of the points described in the ' Who is the Person'points on the Job Profile using examples from your experience or transferable skills. This might be through qualifications or descriptive examples from your work / personal experience, which clearly illustrates what you did and the effect it had. If you apply without a detailed personal statement, it is unlikely that you will be successful. We are a disability confident employer and Armed Forces Covenant gold standard. More information can be found at Equality, diversity and inclusion - Careers portal If applying as a secondment you will need permission from your current line manager releasing you for this secondment. Please state you have this on your personal statement on the application. You will need to demonstrate that you have the Right to Work in the UK. No post will be offered without it. Read more about working at Portsmouth City Council and our benefits on our career's portal homepage: Careers Portal - Find jobs with Portsmouth City Council Should you require any support in completing the application form please contact recruit@portsmouthcc.gov.uk or call the recruitment team on 023 92 616 800.
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Senior Research Associate: Marine Field Ecology for AI-Enabled Behavioural Monitoring
Lancaster University
£39,906 to £46,049 a year
TemporaryFull time
An exciting opportunity for a marine field ecologist to lead data collection and research across reef systems globally and UK coastal waters as part of the BEACON project to harness animal behaviour as an early warning system for conservation. Location: Lancaster. Substantial fieldwork on coral reefs and UK coastal waters required. Contract length: 2 years. We are seeking a highly motivated and experienced marine field ecologist to lead field data collection and contribute to the ecological research programme within BEACON (Behavioural Ecology AI for CONservation action), a new interdisciplinary research programme funded by UKRI. BEACON will develop the first integrated AI-enabled system for monitoring ecosystems and guiding conservation decisions through changes in animal behaviour. You will work closely with the PI (Dr Sally Keith) and an interdisciplinary team to plan, coordinate and successfully complete fieldwork with international partners across multiple biogeographic regions. You will lead analysis of field data and take a leading role in publishing findings as appropriate. The role includes supporting the transfer of the monitoring pipeline to UK coastal waters and behavioural monitoring of wrasse in marine protected areas. We are looking for someone with a passion for understanding how animal behaviour shapes ecosystems, and the drive to develop new skills at the interface of field ecology and AI. You should have a PhD in marine ecology, reef ecology or a related discipline, with strong experience in underwater field ecology in tropical and/or UK coastal settings. Essential skills include experience with underwater survey methods, a recognised advanced SCUBA diving certification (e.g., HSE Professional SCUBA, PADI Divemaster), experience leading field teams in remote locations and management of large datasets. Experience with photogrammetry, acoustic monitoring or field experiments in marine systems is desirable. You must have a proactive and enthusiastic approach, strong interpersonal skills, willingness to undertake fieldwork in remote international locations for extended periods, and a commitment to interdisciplinarity, open science and responsible AI. You will join a growing interdisciplinary team within the LEC-REEFS research group linked strongly to the Data Science and AI Institute @Lancaster (DSAIL), working alongside AI specialists, behavioural ecologists and conservation practitioners. You will work with an international network of partners including the Seychelles Parks and Gardens Authority, Prof Sergio Floeter (Universidade Federal de Santa Catarina), Dr José Paula (University of Lisbon), Cefas, Natural England, Renew Earth and the ReefRUV Network spanning multiple countries and biogeographic regions. The post offers considerable scope for developing original ecological insights across an international network of reef systems. Dedicated training and mentoring will enable the successful candidate to develop practical AI skills, allowing them to work confidently at the interface of behavioural ecology and AI. Lancaster University is a research-intensive university, ranked in the top 1% of universities globally and in the top 10 in the UK. Lancaster Environment Centre (LEC) is a large and multidisciplinary department tackling environmental challenges across the natural and social sciences, with strengths in high-diversity tropical systems. LEC offers a highly collegial and stimulating environment for career development based on departmental values and embedded Equality, Diversity and Inclusivity (EDI) considerations and actions. We are committed to family-friendly and flexible working policies on an individual basis as well as the Athena SWAN Charter, which recognises and celebrates good employment practice undertaken to address gender equality in higher education and research. Furthermore, we are active and progressive around sustainability, wellbeing and decolonising agendas. EDI is strongly embedded within LEC-REEFS and DSAIL, and we actively work to create an inclusive environment where researchers from all backgrounds can thrive. We are committed to inclusive fieldwork practices and will work with the successful candidate to plan fieldwork schedules compatible with personal circumstances where possible. We recognise that career paths are not always linear and welcome applications from candidates who have taken career breaks or worked outside academia. We welcome informal enquiries about flexible working arrangements, and applicants from diverse backgrounds are strongly encouraged to apply. We anticipate shortlisting in September 2026, with interviews shortly thereafter. The successful candidate is expected to start in Jan 2027. What to include in each document of your application: CV: Please include a 2-page CV. You do not have to include publications in this document. Publication List: Please include a complete list of all publications. You may include publications that are accepted and not yet published, but please do not include publications that are in review or in submission. Cover Letter: Please outline why you are interested specifically in this position, how it fits with your career goals, and describe any ideas you have for methodological or scientific developments that could strengthen the project. Maximum 800 words. Supporting Statements: Please provide a supporting statement for each Personal Specification point that is listed as being scored via “Supporting Statements”. This should include examples that provide evidence of your experience and expertise. Please write one paragraph per criteria, with each paragraph limited to 200 words. Referees: Please include contact information for at least two referees. Further enquiries: Informal enquiries about the scope of the research or working arrangements are welcome to Dr Sally Keith (sally.keith@lancaster.ac.uk). Such enquiries are not necessary as part of the application and will not inform any decision. Applications without prior enquiry are welcome and will not be disadvantaged.
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