Lecturer in Data Science Manchester Metropolitan University Department of Computing and Technology United Kingdom


Data Science Lecturer:

 

Manchester Metropolitan University has been a pioneer in modern education since its origins in 1824. Manchester Metropolitan sits in the top 200 young universities in the world, with 85% of its research rated as 'world-leading'. 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 unit in the Faculty of Science and Engineering. It is committed to achieving high-quality teaching, research and enterprise. The Department has over 70 members of academic staff and delivers courses to over 1200 students across Undergraduate, and Postgraduate programmes.

 

The Department expects to see significant improvements in REF2021 outcomes building on improvements made in REF 2014, and we are committed to improving further the quality and volume of research. The Department has a long track record of securing research funding and has a current portfolio of funded projects from research councils, charities, the EU, and Innovate UK. The Department also works closely with employers, particularly in the region's vibrant digital sector, on funded projects.

 

The Department is innovative in its teaching and is the sector leader in Degree Apprenticeships and delivers the Digital and Technology Solutions programme in collaboration with a wide range of companies including multinationals and SMEs. The University is 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 is closely aligned with the Centre for Advanced Computational Science (CfACS) which conducts world‐leading research in computer science, distributed across five main themes:

 

Machine Intelligence
Data Science
Smart Infrastructure
Human‐Centred Computing
Computational Modelling

The Department is enriched by its location in the heart of Manchester, a globally recognised centre for digital media with a vibrant and rapidly expanding technology sector, which provides an enviable range of opportunities to work with industry and see first hand the impact of research and knowledge exchange.

Role:

 

You will teach on undergraduate and postgraduate courses in the School using pedagogic approaches that deliver a first-class student experience. You be expected to contribute flexibly to teaching and conduct research or knowledge exchange within the Centre of Advanced Computational Science.

 

Ideal Candidate:

 

We are seeking applications from individuals who have expertise in the fields of Data Science. You will have knowledge of Data Science tools and techniques for example a programming language such Python or R and a specific area of expertise such as Statistics, Visualisation, Big Data, or Machine Learning.

 

To arrange an informal discussion, please email: Darren Dancey (D.Dancey@mmu.ac.uk)

 

To apply, please submit a CV and covering letter outlining, in particular, how your profile and experience meet the requirements of the role.

 

*From September 2019 the four Schools in the Faculty will become Departments. The current School of Computing, Mathematics and Digital Technology will become the Department of Computing and Mathematics. This change will result in a more consistent nomenclature of academic units across the university.

Data Science Lecturer

Manchester Metropolitan University has been a pioneer in modern education since its origins in 1824. Manchester Metropolitan sits in the top 200 young universities in the world, with 85% of its research rated as ‘world-leading’. 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 unit in the Faculty of Science and Engineering.  It is committed to achieving high-quality teaching, research and enterprise.  The Department has over 70 members of academic staff and delivers courses to over 1200 students across Undergraduate, and Postgraduate programmes. 

The Department expects to see significant improvements in REF2021 outcomes building on improvements made in  REF 2014, and we are committed to improving further the quality and volume of research.  The Department has a long track record of securing research funding and has a current portfolio of funded projects from research councils, charities,  the EU, and Innovate UK.   The Department also works closely with employers, particularly in the region’s vibrant digital sector, on funded projects.  

The Department is innovative in its teaching and is the sector leader in Degree Apprenticeships and delivers the Digital and Technology Solutions programme in collaboration with a wide range of companies including multinationals and SMEs. The University is 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 is closely aligned with the Centre for Advanced Computational Science (CfACS) which conducts world‐leading research in computer science, distributed across five main themes:

  •  Machine Intelligence
  •  Data Science
  •  Smart Infrastructure
  •  Human‐Centred Computing
  •  Computational Modelling

The Department is enriched by its location in the heart of Manchester, a globally recognised centre for digital media with a vibrant and rapidly expanding technology sector, which provides an enviable range of opportunities to work with industry and see first hand the impact of research and knowledge exchange.

Role

You will teach on undergraduate and postgraduate courses in the School using pedagogic approaches that deliver a first-class student experience. You be expected to contribute flexibly to teaching and conduct research or knowledge exchange within the Centre of Advanced Computational Science.

Ideal Candidate

We are seeking applications from individuals who have expertise in the fields of Data Science. You will have knowledge of Data Science tools and techniques for example a programming language such Python or R and a specific area of expertise such as Statistics, Visualisation, Big Data, or Machine Learning.

To arrange an informal discussion, please email: Darren Dancey (D.Dancey@mmu.ac.uk)

To apply, please submit a CV and covering letter outlining, in particular, how your profile and experience meet the requirements of the role.

*From September 2019 the four Schools in the Faculty will become Departments. The current School of Computing, Mathematics and Digital Technology will become the Department of Computing and Mathematics. This change will result in a more consistent nomenclature of academic units across the university.


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