Fellowship Opportunity in AI, Digital and Cyber Physical Systems

As we celebrate our 200th year of Manchester Met, we are delighted to be launching our ‘Third Century Fellowship Scheme’.

The Fellowship Scheme is aimed at exceptional researchers, in the early stages of their post-doctoral career, who aim to make their mark in the field of independent research. You will have extensive experience and a notable track record of research outputs in your area of research. 

What are we offering as part of the Third Century Fellowship Scheme?

By joining our Fellowship Scheme, you’ll play a leading part in our global research offering and join our community, working collaboratively across multidisciplinary and diverse teams with state-of-the-art facilities and work environment. 

Successful applicants will benefit from:

• An exceptional research environment and facilities to support YOUR ambitions and research interest
• A competitive salary, excellent pension and holiday entitlement, enhanced family leave and more
• A three-year development programme, underpinned by the Leadership Lens on the Vitae Researcher Development Framework, a well-established sector-wide tool for the career and professional development of research leaders. 
• Mentorship throughout the programme and access to coaching sessions
• Diverse teams, colleagues and staff networks 

During the term of the fellowship, you will be publishing internationally excellent and world-leading outputs and will be pursuing external funding opportunities to realise your future research ambitions. You will also have the opportunity, when relevant, to prepare and deliver short courses.

The Scheme begins with an initial appointment to a fixed-term post with the expectation to transition to a permanent Senior Lecturer or as a Reader, after three years, dependant on your performance and potential as assessed through the scheme.

These fellowship opportunities are being offered across our four faculties: Science & Engineering, Arts & Humanities, Business & Law and Health & Education. We will be making up to 15 appointments onto the cohort, based on application and assessment performance, and best fit to our preferred areas of research, across our four faculties. 

Further details about the fellowship and research areas can be found here

You can explore ourFellowship Opportunity in AI, Digital and Cyber Physical Systems, below.

AI, Digital and Cyber Physical Systems at Manchester Metropolitan:  

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 e.g. research workshops, conferences, seminars, exhibitions, portfolios, academic journals etc.    
• 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.   
• To engage in scholarly activities conducive to a long-term successful academic career that will support and enhance the research culture within the Department/ School, Faculty and University.   

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