Manchester Metropolitan University has always been a pioneer in modern education since its origins in 1824, and sits in the top 200 young universities in the world, with 85% of its research rated as ‘world-leading’. Located in the heart of Manchester, a globally recognised centre for digital media with a vibrant and rapidly expanding technology sector, the university offers enviable opportunity to work with industry and develop real impact in research and knowledge exchange. The University is proud to have recently gained a TEF Silver award and has ambitious plans for the future.
The Department of Computing and Mathematics is a large and successful academic community of students and staff in the Faculty of Science and Engineering that is committed to achieving high-quality teaching, research and enterprise. The Department delivers courses to over 1500 students across Undergraduate, and Postgraduate programmes and has over 70 members of academic staff with ambitious plans for growth.
Our ethos is to be highly innovative in teaching and we are recognised as the sector leader in Degree Apprenticeships where we deliver the Digital and Technology Solutions programme in collaboration with a wide range of companies including multinationals and SMEs. We are a founding member and one of five theme leads of the National Institute of Coding, a consortium of 34 universities and over 100 companies and outreach organisations, that is driving teaching innovation in digital skills education to address the digital skills gap.
The Department has a long and successful track record of securing research funding and has a substantive, growing portfolio of funded projects from research councils, charities, the EU, and Innovate UK. Much of this is grounded in our extensive work with local employers and organisations comprising the region’s vibrant digital sector with a significant portfolio of funded knowledge exchange projects. In the upcoming REF2021 we expect to see significant enhancement of the advances made in REF2014 and we are committed to further improving the quality and volume of this research.
Research in the department is closely aligned with the Centre for Advanced Computational Science (CfACS) which conducts world‐leading research in computer science, distributed across five main themes:
In 2023, the department will move into a new purpose-built Science and Engineering Building. The new building will substantially increase the research space available to the department opening up exciting new research opportunities such as robotics. The new building will also increase the informal social and study space for students creating an outstanding learning environment that will facilitate innovative collaborations amongst a diverse community of students and academics.
The University is making substantial investments in the Department with at least six new Lecturer and Senior Lecturer appointments. Furthermore, it is expected that a number of new PhD Studentships or Research Associates will be assigned to this group of academics to accelerate their research career.
We offer flexible working arrangements, such as flexible hours and compressed hours.
You will be a passionate educator who fully understands the pedagogic approaches needed to deliver excellent student experience and learning opportunities on the undergraduate and postgraduate courses you will teach. As an academic you will have the ability to flexibly balance teaching with the development of an excellent and accelerating profile in research and knowledge exchange within the Centre of Advanced Computational Science.
We are seeking applications from individuals who have expertise in the field of AI/Data Science either through academic research or professional practice. You will have in-depth knowledge of current tools and techniques.
You will be expected to have higher education level teaching or mentoring experience in AI or Data Science, and have a PhD in relevant discipline or have the equivalent industrial experience in AIData Science. You will be a strong collegiate team player with the ability to impassion and motivate studentstaff communities through your contributions, collaboration and co-creation.
To arrange an informal discussion, please email: Professor Rob Aspin R.Aspin@mmu.ac.uk To apply, please submit a CV and covering letter outlining, in particular, how your profile, experience and ambition make you the ideal candidate for the role.
Manchester Metropolitan University is committed to supporting the rights, responsibilities, dignity, health and wellbeing of staff and students through our commitment to equality, diversity and inclusion.
We promote applications from all sections of the community, irrespective of background, belief or identity, recognising the benefits that a diverse organisation can bring and particularly encourage applications from groups which are underrepresented in the University workforce.
We recognise the benefits and importance of an environment that supports flexible working and are open to conversations about this throughout the application process.