University of Sheffield

SBU/Department: School of Health, Medicine and Life Sciences FTE: 1.0 FTE (37 hours per week) Duration of Contract: Fixed Term (2 years) Salary: UH8 £46,049 pa to £58,225 pa by annual increments on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days, including the closure of our office between Christmas and New Year Location: College Lane Campus, Hatfield This senior fellowship offers a high-impact opportunity to lead the integration of AI across health, medicine, and life sciences. This role is ideal for an experienced researcher eager to advance digital transformation, build institutional AI capability, and make a lasting impact on healthcare and biomedical innovation. Main duties and responsibilities You will drive strategic initiatives, shaping AI adoption in areas such as predictive diagnostics, personalised medicine, and clinical trial optimisation, while collaborating with internal and external stakeholders, NHS partners, and industry to deliver demonstrator projects with tangible outcomes. In addition to research leadership, you will mentor junior colleagues, integrate AI strategies into grant proposals and fellowship applications by research staff, lead training on AI and data governance, and contribute to policy and ethical frameworks for responsible AI use. Skills and experience required We are seeking an accomplished AI researcher with substantial experience leading research teams and projects, mentoring junior staff, and managing collaborative partnerships with academic and external organisations. You will have a strong record of scholarly work, successful funding applications, and presenting research at local, national and international forums. PhD supervision and public engagement experience are also desirable. You will bring deep expertise in ML/DL techniques, NLP, computer vision, and predictive modelling, alongside excellent IT, analytical, interpersonal and communication skills in spoken and written English. You must be able to collect, process and present data with excellent analytical skills, be methodical, adaptable and proactive to team and workload requirements, work accurately under pressure to tight deadlines, work effectively in teams, and be committed to continuous learning and development while handling sensitive data with confidentiality and care. You will have a can-do attitude to problem-solving, have tact and diplomacy, as well as the initiative to learn new skills and demonstrate continuous development. Qualifications required You will have a degree or equivalent Level 6 Qualification, or a higher qualification in a relevant discipline. You will also have a PhD (or equivalent) in AI, Data Science, Computer Science, Biomedical Engineering, or a related field, or equivalent experience applying AI/ML to healthcare or biomedical data. Please view the job description and person specification for a full list of the duties and essential criteria. Please attach a personal statement showing clearly how your skills and experience match the person specification. Internal applicants – please ensure you apply via your employee self-service portal. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Please note, this post cannot be visa sponsored unless you can evidence a PhD / Doctorate. Contact Details/Informal Enquiries: Rich Callaghan (Associate Dean for Research) r.callaghan@herts.ac.uk Closing Date: 26 March 2026 Interview Date: TBC Reference Number: REQ000549 Our vision is to transform lives: UH is committed to Equality, Diversity, and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise that there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits, including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships, free Active Staff sessions, personal and professional development, and family-friendly policies. #GoHerts

Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our universities community has its competitive edges in technology, health and society. www.tuni.fi/en The Electrical Engineering unit at the Faculty of Information Technology and Communication Sciences, Tampere University, invites applications for a Marie Skłodowska-Curie Action (MSCA) Doctoral Candidate position in integrated circuits and signal processing for large-array transceivers in next-generation communication systems. The position is part of the EU-funded MSCA Doctoral Network ANCHOR and corresponds to Doctoral Candidate. The successful candidate will contribute to advancing energy-efficient, high-performance communication systems for next-generation wireless infrastructures. About the ANCHOR Doctoral Network ANCHOR is an EU-funded Marie Skłodowska-Curie Doctoral Network that brings together leading universities and industry partners to train 15 doctoral candidates in next-generation communication technologies. The network addresses key challenges in future wireless infrastructures — including spectrum harmonization, 3D coverage, mobility, latency, capacity, and energy efficiency — by advancing integrated solutions across radio, THz, and optical domains. Through interdisciplinary research, international secondments, and structured cross-sectoral training, ANCHOR equips its doctoral candidates with strong theoretical foundations and practical expertise to drive innovation in Europe’s future telecommunications landscape. More information about ANCHOR network can be found here. Job Description The research focuses on developing signal processing concepts and energy-efficient, high-performance integrated circuit architectures for large-array transceivers in future communication systems, with emphasis on beamforming, near-field, and advanced receiver signal processing. The Doctoral Candidate will: Develop and validate signal processing concepts for efficient large-array systems Design energy-efficient hardware architectures for beamforming Perform system-level modelling and simulations (e.g., MATLAB or similar tools) Design, tape out, and experimentally characterize integrated circuit prototypes Disseminate results through leading international journals and conferences Develop research collaboration with DCs in the Tampere University, ANCHOR network The position includes secondments of 6 months at University College London (UCL) and 4 months at Altice Labs (Portugal), providing direct exposure to both academic and industrial research environments. In addition to research duties, the candidate will complete all doctoral degree requirements at Tampere University, contribute to ANCHOR project deliverables, participate in network-wide training events, and actively disseminate results through scientific and professional channels. High-quality scientific publishing is expected throughout the project. Requirements This position follows the rules of the Marie Skłodowska-Curie Doctoral Networks. To be eligible: The applicant must not hold a PhD degree at the time of recruitment. The applicant must hold a relevant master’s degree by the time the employment begins (start date: 01.08.2026, or as soon as possible thereafter, but no later than 31.12.2026). The applicant may be of any nationality. The applicant must comply with the MSCA mobility rule: they must not have resided or carried out their main activity (work, studies, etc.) in Finland for more than 12 cumulative months in the 36 months immediately before the recruitment date. Compulsory national service, short stays (e.g., holidays), and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not considered. In addition, the selected candidate must apply for and be granted the right to pursue doctoral studies at Tampere University. A doctoral candidate must enroll as a doctoral student no later than six months after the start of the contract. Please visit the admissions webpage for more information on the requirements for the same. Formal English language requirements must be fulfilled by the time of enrollment in the doctoral program (not necessarily at the time of applying). Strong written and spoken English skills are essential for success in this position. Desired Skills and Profile We are seeking a highly motivated and research-oriented candidate with a strong interest in integrated circuit design and future communication systems, and a clear ambition to pursue a doctoral degree. The applicant should hold an M.Sc. (or equivalent) in electrical engineering, computer engineering, or a closely related discipline. The ideal candidate is intellectually curious, open to acquiring new skills, and able to work rigorously and independently while contributing effectively to a collaborative, international research environment. Interest in an academic or industrial research career is highly valued. Experience in one or more of the following areas is considered advantageous, the more, the better. Knowledge in signal processing and system-level modelling Strong skills with numerical modelling and simulation tools (e.g., MATLAB, Python) Good knowledge in digital circuit and DSP hardware design Strong hands-on skills in ASIC design methodologies (e.g., HDL-based design, simulation, synthesis, place-and-route workflows) Good knowledge in analog circuit design Strong skills in analog/RF circuit design and simulation with tools like Cadence Virtuoso FPGA or RF-SoC prototyping experience Hands-on experience with industry-standard EDA tools (e.g., Cadence, ModelSim or equivalent) is beneficial. We offer The doctoral candidate will be guided by a distinguished and internationally recognized supervisory team, ensuring ambitious, high-quality doctoral training and close mentorship. Doctoral candidate will be co-supervised by Asst. Prof. Vishnu Unnikrishnan, Assoc. Prof. Bo Tan, Prof. Elena Simona Lohan, and Prof. Mikko Valkama, whose complementary expertise spans theoretical innovation and practical impact. Secondments with Prof. Izzat Darwazeh at UCL and the industrial visit at Altice Labs, Portugal, provide direct exposure to leading academic and industrial research environments, forming a strong international platform for scientific excellence and career development. The SoC Hub ecosystem provides an excellent framework to support the IC tape out activities required for this position. The position is based at Tampere University’s Hervanta campus, a major Nordic technology hub offering modern laboratories, advanced research infrastructure, and a collaborative academic community. Comprehensive support services and staff benefits — including occupational health care, flexible working arrangements, sports facilities, and campus restaurants — create excellent conditions for focused research. More information is available at Working at Tampere Universities. We offer a fully funded 36-month fixed-term doctoral position within the MSCA framework. The employment begins on 01.08.2026, or as soon as possible thereafter (no later than 31.12.2026). Salary is determined in accordance with MSCA Doctoral Candidate regulations and the applicable country correction coefficient. The estimated gross monthly salary is approximately €3,950 for a candidate without a family allowance and approximately €4,450 for a candidate with a family (e.g., married, in a recognized relationship, or with dependent children). The position also includes an annual holiday bonus, and salary increments under the Finnish collective labor agreement. Tampere, located between two large lakes, is Finland’s second-largest urban area and a leading Nordic technology hub. The city combines a vibrant innovation ecosystem — particularly strong in ICT and industry — with immediate access to nature and a high quality of life. For more information about Tampere, please visit VisitTampere, Welcome to Tampere and International House Tampere. Finland consistently ranks among the world’s safest and most stable societies and offers a comprehensive public healthcare and social security system, making it an attractive and secure destination for international researchers and their families. For more information about living and working in Finland, please visit InfoFinland and This is Finland.  How to Apply Applications must be submitted through Tampere University’s online recruitment system (application link below). The deadline for applications is 7 April, 2026 at 23:59 (EEST, UTC+2 Finnish time). All application documents must be submitted in English and uploaded in PDF format. Please include the following required documents: Cover letter outlining your motivation for applying, your research interests, and how your background aligns with the position Curriculum vitae (CV) detailing your educational background, relevant technical skills, research experience, publications (if any), and other scientific achievements. Please include contact details for at least two referees Copies of bachelor’s and master’s degree certificates (if available at the time of application) Official transcripts of records for bachelor’s and master’s degrees You may also include additional supporting documents, if relevant (e.g., proof of English proficiency, recommendation letters). For further information about the position, please contact Prof. Vishnu Unnikrishnan or Prof. Mikko Valkama (mikko.valkama@tuni.fi). 

Job no: HRC0022101 Category: Academic, Level E+/Senior Staff The University of Newcastle is excited to invite applications for the role of Dean and Head of School of Science — a pivotal leadership opportunity at a time of growth, innovation, and renewed ambition. Formed in January 2026 through the unification of the School of Psychological Sciences and the School of Environmental and Life Sciences, the School of Science is a dynamic and forward‑looking academic community within the College of Engineering, Science and Environment. It brings together eight vibrant disciplines — Biological Science, Chemistry, Earth Science, Environmental Science and Management, Food Science and Human Nutrition, Geography and Environmental Studies, Physics and Psychology — creating a rich environment for interdisciplinary collaboration and discovery. The School is home to high‑impact, industry‑connected research and enjoys a strong global reputation for excellence. Its researchers are nationally and internationally recognised, and its programs are highly regarded and in demand. The School hosts three stand‑alone research centres — the Global Innovative Centre for Advanced Nanomaterials (GICAN), the Global Centre for Environmental Remediation (GCER), and the Centre for Organic Electronics (COE) — each contributing to cutting‑edge research and real‑world impact. With a commitment to outstanding teaching and transformative student experiences, the School of Science is poised for an exciting next chapter. The Dean and Head of School role offers a rare opportunity to shape that future. It is a multifaceted, people‑centred leadership position with significant influence across strategy, operations, program quality, accreditation, and culture. The successful candidate will champion the School’s development, foster innovation, and build a contemporary, future‑ready school that tackles global challenges and drives excellence in teaching, research, and impact. As a key member of the College Executive, the Dean and Head of School will help steer the direction of science education and research at Newcastle, uniting a diverse academic community around a shared vision. Based at the Callaghan campus and working across regional locations, the role offers the chance to make a meaningful contribution to science education nationally — with a strong commitment to supporting the needs of regional and rural communities. Key Requirements: A doctoral qualification in a science discipline. Demonstrated ability to provide academic leadership and operational management in a complex environment. Experience working across disciplines within science fields. A proven record of securing external research funding and advancing research outcomes. A strong profile of scholarly achievement and recognised contributions to science education. Proven ability to build strong partnerships with industry, government, and research organisations. Outstanding communication, interpersonal, and people leadership skills. Closing date: Friday, 3rd April at 11.59pm AEDT The University of Newcastle will be supported in its search for this appointment by the executive search firm The Insight Group. If you wish to discuss this role further in confidence and to submit your application please contact us by phone: (03) 9654 3288, or email: applications@insightgroup.com.au.