Assistant Professor in Data Science/Statistics (University of Nottingham Department of Mathematical Sciences)

Assistant Professor in Data Science/Statistics Reference SCI064921 Closing Date Thursday, 15th April 2021 Job Type Research & Teaching Department Mathematical Sciences Salary £36914 to £49553 per annum (pro-rata if applicable) depending on skills and experience. Salary progression beyond this scale is subject to performance. The Digital Economy is reshaping businesses, society and people, and calls for interdisciplinary research to understand and shape how it matures. The UKRI-funded Horizon Digital Economy Research Institute centred at the University of Nottingham brings together an interdisciplinary team that includes expertise in mathematical sciences, computer science, engineering, psychology, sociology, business, social science and the arts. We are looking for an Assistant Professor to deliver outstanding teaching and research in Data Science or Statistics. This post, jointly funded for the first four years by Horizon and the School of Mathematical Sciences provides a pathway to a permanent academic position for an early-career researcher. The role-holder will initially focus on research within Horizon, with reduced teaching, then transition by the fourth year to working evenly between research within Horizon and teaching in Mathematical Sciences. After four years, the role-holder will become a permanent member of staff within the School of Mathematical Sciences, complementing and enhancing activity in the Statistics and Probability Section which has recently appointed three Chairs in Statistics. We are particularly seeking candidates with expertise in computational statistics, especially Bayesian methodology and applications, and machine learning, though we welcome applications from any candidates who can show how their expertise fits with the Horizon, the Statistics and Probability Section, and/or other research groups within the School of Mathematical Sciences. Importantly, candidates must be keen to bring their skills and experience into the interdisciplinary team within Horizon addressing the overall sociotechnical challenges of the future Digital Economy. We believe that talented and inclusive teams deliver the highest quality research. The School is committed to creating opportunities for people traditionally under-represented in Mathematical Sciences. We are seeking applications from excellent candidates who enhance the diversity of our existing team and who can evidence: PhD or equivalent in Statistics, Data Science or related area OR near to completion, must be submitted or within 3 months of a hard submission deadline Proven track record, or demonstrated potential, in publishing research of international quality in Statistics, Data Science or related area Specialist research skills and techniques in computational statistics and/or machine learning Good pedagogical skills required to teach classes, plus the ability to develop excellent teaching and learning materials Sufficient breadth or depth of specialist knowledge to develop research programmes Excellent communication, organisation, interpersonal and time management skills The ability to work independently and as part of a multidisciplinary and multicultural team Ability to build relationships and collaborate with others, both internally and externally For information about the School of Mathematical Sciences and Horizon see: http://www.nottingham.ac.uk/mathematics/index.aspx and http://www.horizon.ac.uk The post is offered on a permanent contract from 01 September 2021. Hours of work are full-time (36.25 hours per week); however applications are also welcome from candidates wishing to work part-time (minimum 29 hours per week). Please specify in your application if you wish to work part time and the number of preferred hours. Job share arrangements may also be considered. Informal enquiries may be addressed to Professor Theodore Kypraios (Head of Statistics and Probability Section) email: theodore.kypraios@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted. Our University has always been a supportive, inclusive, caring and positive community. We warmly welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, visit; https://www.nottingham.ac.uk/jobs/applyingfromoverseas/index2.aspx For all successful international applicants, including EU/EEA applicants from January 2021, we offer an interest-free loan to help cover the cost of immigration-related expenses to the UK, including visas and the NHS surcharge. For more information follow this link https://www.nottingham.ac.uk/hr/guidesandsupport/workingintheuk/documents/support-with-immigration-expenses-policy-application-form.pdf Job Description/Role Profile Additional Information Apply Online If you apply for this position please say you saw it on Computeroxy

Assistant Professor in Data Science/Statistics

Reference: SCI064921
Closing Date: Thursday, 15th April 2021
Job Type: Research & Teaching
Department: Mathematical Sciences
Salary: £36914 to £49553 per annum (pro-rata if applicable) depending on skills and experience. Salary progression beyond this scale is subject to performance.

The Digital Economy is reshaping businesses, society and people, and calls for interdisciplinary research to understand and shape how it matures. The UKRI-funded Horizon Digital Economy Research Institute centred at the University of Nottingham brings together an interdisciplinary team that includes expertise in mathematical sciences, computer science, engineering, psychology, sociology, business, social science and the arts.

We are looking for an Assistant Professor to deliver outstanding teaching and research in Data Science or Statistics. This post, jointly funded for the first four years by Horizon and the School of Mathematical Sciences provides a pathway to a permanent academic position for an early-career researcher. The role-holder will initially focus on research within Horizon, with reduced teaching, then transition by the fourth year to working evenly between research within Horizon and teaching in Mathematical Sciences. After four years, the role-holder will become a permanent member of staff within the School of Mathematical Sciences, complementing and enhancing activity in the Statistics and Probability Section which has recently appointed three Chairs in Statistics.

We are particularly seeking candidates with expertise in computational statistics, especially Bayesian methodology and applications, and machine learning, though we welcome applications from any candidates who can show how their expertise fits with the Horizon, the Statistics and Probability Section, and/or other research groups within the School of Mathematical Sciences. Importantly, candidates must be keen to bring their skills and experience into the interdisciplinary team within Horizon addressing the overall sociotechnical challenges of the future Digital Economy.

We believe that talented and inclusive teams deliver the highest quality research. The School is committed to creating opportunities for people traditionally under-represented in Mathematical Sciences.

We are seeking applications from excellent candidates who enhance the diversity of our existing team and who can evidence:

PhD or equivalent in Statistics, Data Science or related area OR near to completion, must be submitted or within 3 months of a hard submission deadline
Proven track record, or demonstrated potential, in publishing research of international quality in Statistics, Data Science or related area
Specialist research skills and techniques in computational statistics and/or machine learning
Good pedagogical skills required to teach classes, plus the ability to develop excellent teaching and learning materials
Sufficient breadth or depth of specialist knowledge to develop research programmes
Excellent communication, organisation, interpersonal and time management skills
The ability to work independently and as part of a multidisciplinary and multicultural team
Ability to build relationships and collaborate with others, both internally and externally

For information about the School of Mathematical Sciences and Horizon see: http://www.nottingham.ac.uk/mathematics/index.aspx and http://www.horizon.ac.uk

The post is offered on a permanent contract from 01 September 2021. Hours of work are full-time (36.25 hours per week); however applications are also welcome from candidates wishing to work part-time (minimum 29 hours per week). Please specify in your application if you wish to work part time and the number of preferred hours. Job share arrangements may also be considered.

Informal enquiries may be addressed to Professor Theodore Kypraios (Head of Statistics and Probability Section) email: theodore.kypraios@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.

Our University has always been a supportive, inclusive, caring and positive community. We warmly welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, visit; https://www.nottingham.ac.uk/jobs/applyingfromoverseas/index2.aspx

For all successful international applicants, including EU/EEA applicants from January 2021, we offer an interest-free loan to help cover the cost of immigration-related expenses to the UK, including visas and the NHS surcharge. For more information follow this link https://www.nottingham.ac.uk/hr/guidesandsupport/workingintheuk/documents/support-with-immigration-expenses-policy-application-form.pdf