At a Glance
- Tasks: Join us as a Research Fellow to drive innovative data science and AI research.
- Company: The Institute for Data and AI at the University of Birmingham is dedicated to impactful, interdisciplinary research.
- Benefits: Enjoy access to high-performance computing, a dedicated research budget, and opportunities for collaboration.
- Why this job: Be part of a vibrant community tackling societal challenges through cutting-edge research and diverse perspectives.
- Qualifications: PhD in Computer Science, Data Science, or AI with strong analytical and collaborative skills required.
- Other info: This role is based in Elm House, a hub for innovation and collaboration.
The predicted salary is between 36130 - 45413 £ per year.
Location: University of Birmingham, Edgbaston, Birmingham UK
Full time starting salary is normally in the range £36,130 to £45,413 with potential progression once in post to £48,149
Grade: 7
Full Time, Fixed Term contract up to July 2028
Closing date: 31st August 2025
Background
The Institute for Data and AI (IDAI) promotes excellence in Data Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable transformative, interdisciplinary, impactful data-intensive research. The Institute brings together researchers and educators from across the University around a shared ambition to address grand societal challenges through open collaboration across disciplinary boundaries.
IDAI is looking to recruit a Postdoctoral Research Fellow who, as one of two Postdoctoral Research Fellows in the Institute, will play a critical role in expanding and multiplying research efforts directly emerging from the Institute\’s research themes and work done by Institute Affiliates. These strategic appointment will be instrumental in delivering the Institute\’s mission of promoting research excellence in Data Science methods and AI models while ensuring their principled and competent adoption across disciplines.
Our approach is anchored in fostering an interdisciplinary and inclusive culture in research and education across our Colleges and Schools, providing a collaborative environment where diverse perspectives come together to address problems and challenges that transcend the boundaries of individual disciplines.
This role will be based in Elm House; a dedicated space for the Institute for Data and AI (IDAI) , the Birmingham Institute for Sustainability and Climate Action (BISCA) , and other strategic research initiatives such as the Met Office Academic Partnership and Birmingham’s Turing University Network . The recently renovated Elm House, is a building fully dedicated to open, inclusive and inspiring research spaces for academics and their collaborators. In addition, the University of Birmingham offers exceptional High Performance Computing facilities, including through the Tier-2 Baskerville system.
Role Summary
We are seeking early-career researchers with strong technical backgrounds in AI/Data Science and a commitment to interdisciplinary research. The successful candidate will actively participate in the Institute\’s mission to drive impactful data-intensive research, by:
- Conducting high-quality research
- Supporting research groups across the University to develop new project proposals centred on data-intensive research
- Engaging with stakeholders across academia and industry
- Developing recommendations to help the shaping of research priorities, both internally and to funders, through co-authoring and co-editing research vision and policy documents
The post holder will engage in developing and leading research projects contributing to IDAI\’s interlocking thematic networks: Governance, Economy, and Social Impact; Health, Environment, and Resilience; Advanced Engineering, Materials Science, and Smart Manufacturing; Creative and Cultural Digital Futures; and Foundational Data Science and AI Methodologies. Together, these themes create a collaborative research environment that exemplifies IDAI\’s distinct approach to interdisciplinary data science and AI research.
Main Duties
Research and Innovation:
- Develop innovative research programmes aligned with IDAI\’s research themes
- Propose, plan, and execute research projects under the IDAI banner
- Contribute to grant writing and project development to secure external funding
- Support the development and success of IDAI’s Research Themes
- Develop novel methodologies and approaches in data science and AI
- Contribute to technology and research horizon scanning with the goal of developing research strategy and influencing funders’ priorities
Knowledge Exchange and Impact:
- Engage with external partners including industry, policymakers, and other academic institutions
- Represent and promote the Institute\’s work to external audiences
- Support the translation of research into practical applications
- Contribute to the Institute\’s pump-prime funding scheme
- Participate in organising workshops, seminars, and other knowledge exchange activities
Collaboration and Engagement:
- Work closely with IDAI Affiliates and Theme leads across the University
- Support interdisciplinary collaboration through the Institute\’s Research Themes
- Mentor students and early-career researchers in data science and AI methods
- Contribute to building the Institute\’s research community
- Foster connections with the Alan Turing Institute and other strategic partners
- Engage in administrative duties within the university, particularly those related to IDAI’s research, knowledge exchange and impact
- Promotes equality and values diversity acting as a role model and fostering an inclusive working culture
Person Specification
Essential:
- PhD (or near completion) in Computer Science, Data Science, AI, or a related field with substantial expertise in data science/AI methods
- Strong publication record in relevant areas
- Demonstrated ability to work across disciplinary boundaries
- Strong analytical skills and experience in developing and implementing machine learning/AI solutions using relevant languages and frameworks
- Excellent communication skills and proven ability to collaborate with diverse stakeholders
- Technology and research horizon scanning skills
- Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day to day activity in own area that those with protected characteristics are treated equally and fairly
Desirable:
- Experience in securing research funding
- Track record of interdisciplinary collaboration
- Expertise in one or more of IDAI\’s theme areas
- Experience in stakeholder engagement
- Background in developing ethical and responsible AI solutions
- Knowledge transfer and enterprise experience
Environment and Support
You\’ll be based in Elm House, IDAI\’s dedicated space designed for collaboration and innovation, working alongside:
- IDAI Director, Deputy Directors and Institute management committees
- IDAI Fellows and Affiliates from across the University
- The Research Data Science team
- Visiting researchers and collaborators
- Partners from industry and government
- Institute operations team
- Research, Engagement and Impact professional service teams
You\’ll benefit from:
- Direct engagement with IDAI\’s strategic partnerships
- Access to high-performance computing facilities including Baskerville HPC
- Opportunities to shape emerging research themes and networks
- Support for developing independent research programmes
- Dedicated research and travel budget
How To Apply
Please submit:
- CV
- Your application must be accompanied by a statement, of no more than 600 words (excluding bibliography and references as needed), addressing the three points below. Wherever possible, cite concrete evidence – for example: funding body, year, value, your role, publicly available outputs (papers, software, policy briefs):
- Shaping interdisciplinary, data-intensive research Outline up to three occasions on which you initiated or materially shaped an interdisciplinary, data-intensive research proposal. Specify:
- the disciplines and partners involved;
- how you integrated methods or theories across fields;
- the outcome (funded / not funded, key lessons); and
- how the work aligns with current UKRI, Horizon Europe or comparable industrial priorities in AI and data science.
- Influencing research agendas and policy Give one or two examples of vision papers, white papers or strategy documents that you have co-authored or edited and that have helped steer institutional or funder priorities. Clarify your precise contribution and any demonstrable impact (e.g. citation in a funding call, adoption by an R&D organisation, reference in parliamentary briefings).
- Collaborating and communicating across sectors Summarise your experience of working with non-academic stakeholders – industry, government, third sector or the public. Highlight a case in which you translated complex AI concepts for a non-specialist audience and indicate the outcome (policy change, prototype, engagement metrics, etc.).
- Shaping interdisciplinary, data-intensive research Outline up to three occasions on which you initiated or materially shaped an interdisciplinary, data-intensive research proposal. Specify:
(Within the word limit, you may add a closing sentence indicating how you would contribute to the Institute’s mission of building an interdisciplinary research ecosystem during your first year.)
- Cover letter describing your interest in the role
- Names and contact details of three referees
Informal enquiries to Dr Hazel Wilkinson, Deputy Director IDAI, email: h.j.wilkinson@bham.ac.uk or, Prof Slava Jankin, Deputy Director IDAI, email: v.jankin@bham.ac.uk .
We believe there is no such thing as a \’typical\’ member of University of Birmingham staff and that diversity in its many forms is a strength that underpins the exchange of ideas, innovation and debate at the heart of University life. We are committed to proactively addressing the barriers experienced by some groups in our community and are proud to hold Athena SWAN, Race Equality Charter and Disability Confident accreditations. We have an Equality Diversity and Inclusion Centre that focuses on continuously improving the University as a fair and inclusive place to work where everyone has the opportunity to succeed. We are also committed to sustainability, which is a key part of our strategy. You can find out more about our work to create a fairer university for everyone on our website .
#J-18808-Ljbffr
Research fellow data science and - data employer: University of Birmingham
Contact Detail:
University of Birmingham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research fellow data science and - data
✨Tip Number 1
Familiarise yourself with the specific research themes of IDAI. Understanding their focus areas, such as Governance, Economy, and Social Impact, will help you tailor your discussions and demonstrate how your expertise aligns with their goals during interviews.
✨Tip Number 2
Engage with current researchers and affiliates at IDAI through networking events or academic conferences. Building relationships with them can provide insights into the institute's culture and ongoing projects, which can be beneficial when discussing your potential contributions.
✨Tip Number 3
Prepare to discuss your interdisciplinary collaboration experiences in detail. Highlight specific projects where you successfully integrated diverse methodologies, as this is a key aspect of the role and will showcase your ability to work across boundaries.
✨Tip Number 4
Stay updated on recent developments in AI and data science funding opportunities. Being knowledgeable about current trends and funding bodies will not only enhance your discussions but also demonstrate your proactive approach to securing research funding.
We think you need these skills to ace Research fellow data science and - data
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description. Understand the key responsibilities and required qualifications for the Research Fellow position at IDAI. Tailor your application to highlight how your skills and experiences align with these requirements.
Craft a Strong Statement: Your statement should address the three specific points outlined in the job description. Use concrete examples from your past experiences to demonstrate your ability to shape interdisciplinary research, influence research agendas, and collaborate across sectors. Keep it concise and focused within the 600-word limit.
Highlight Relevant Experience: In your CV and cover letter, emphasise your relevant experience in data science and AI, particularly any interdisciplinary projects you've worked on. Mention any publications or successful grant applications that showcase your expertise and contributions to the field.
Proofread and Edit: Before submitting your application, take the time to proofread and edit all documents. Ensure there are no grammatical errors or typos, as these can detract from the professionalism of your application. Consider asking a colleague or mentor to review your materials for feedback.
How to prepare for a job interview at University of Birmingham
✨Showcase Your Interdisciplinary Experience
Highlight your ability to work across different disciplines. Prepare specific examples of past projects where you successfully integrated methods from various fields, as this aligns with the Institute's mission of fostering interdisciplinary research.
✨Demonstrate Your Research Impact
Be ready to discuss your previous research contributions and their impact. Bring concrete evidence of your work, such as publications or funded projects, and how they have influenced research agendas or policy in data science and AI.
✨Engage with Stakeholders
Prepare to talk about your experience working with non-academic stakeholders. Share examples of how you've communicated complex AI concepts to a non-specialist audience and the outcomes of those interactions, as collaboration is key for this role.
✨Align with IDAI's Themes
Familiarise yourself with the specific research themes of the Institute for Data and AI. Be prepared to discuss how your skills and experiences align with these themes and how you can contribute to their ongoing projects and initiatives.