Fellowship Opportunity: AI, Digital and Cyber Physical Systems

The Department of Computing and Mathematics has consistently been at the forefront of advanced AI research and development, spanning key thematic areas such as Data Science, Machine Intelligence, Human-Centred Computing, Data and AI Ethics. We offer cutting-edge facilities and equipment that underpin our world-leading research in fundamental and applied AI. Our collaborations extend to a wide range of external partners, including industry, international research institutions, and charitable organizations, all with a shared commitment to ensuring that AI has a positive impact on society, both nationally and internationally. We have extensive links into digital business and health through our work with local and national partners, and the newly established Centre for Digital Innovation (CDI to drive growth of AI-powered digital business.

About the role: 

• To undertake world-leading and internationally excellent research using latest and innovative methodologies, as relevant in your area of research. 

• To prepare, present and publish research outputs through the appropriate forums. 

• To develop ideas for generating income to ensure the continued success and growth of research portfolio.  

• To disseminate findings of research widely to further the institution’s standing in the HE and research community and strengthen the impact of the research.

About the candidate: 

You will be an emerging AI researcher specialising in areas such as Embodied AI, Robotics, Multimodal Generative AI. You will be experienced in the development of machine learning algorithms and AI systems/tools and understand the strengths and limitations of current AI technologies. In addition, you will also possess skills in software development.

The Fellowship will enable you to concentrate solely on advancing your research trajectory, both independently and in partnership with the existing AI experts at Manchester Met University, as well as in interdisciplinary ventures where AI plays a pivotal role. You will have access to a fully funded, dedicated Computer Science Laboratory, with access to vital computational resources, including High-Performance Computing (HPC) and cloud-based facilities.

Requirements: 

• Doctoral level qualification in a related research area. 

• Possess breadth or depth of specialist knowledge and demonstrate potential for research independence.

• Excellent track record of relevant research outputs. 

• Significant research experience in the chosen field of research, which should include where appropriate: 
  • leading the work of a team, co-ordinating effort and resources to meet objectives 
  • developing partnerships with internal and external agencies 
  • preparing funding proposals and applications to external bodies 
  • using initiative, creativity and judgement to develop appropriate approaches to research 
  • synthesising complex data from different sources and communicating findings via written reports and articles 
  • presenting at national and/or international research meetings 
  • supervising student work and providing appropriate support and feedback. 

• Experience of managing and monitoring performance of research projects in multi-disciplinary teams.

• Ability to manage projects involving academic institutions and funding bodies. 

Please refer to the Job Description & Person Specification for a full list of essential & desirable criteria. 

Academic Contact: Prof. Lianxiu Han (l.han@mmu.ac.uk) to discuss the fellowship opportunity in detail. 

Closing Date: 29 May 2024 

If you have any questions, please do not hesitate to contact us on researchfellowships@mmu.ac.uk  

To return to the main fellowship page, click here  

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