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Lecturer jobs in United Kingdom

Assistant and Associate Professor positions in Statistics and Machine Learning at Warwick

The International Society for Bayesian Analysis

Warwick
On-site
GBP 50,000 - 70,000
30+ days ago
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Assistant Professor (teaching-focused) at Warwick

The International Society for Bayesian Analysis

Coventry
On-site
GBP 40,000 - 60,000
30+ days ago

Assistant Professor position in Statistics at Warwick

The International Society for Bayesian Analysis

Coventry
On-site
GBP 40,000 - 60,000
30+ days ago

Assistant and Associate Professor positions in Statistics at Warwick

The International Society for Bayesian Analysis

Coventry
On-site
GBP 40,000 - 60,000
30+ days ago

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Assistant and Associate Professor positions in Statistics and Machine Learning at Warwick
The International Society for Bayesian Analysis
Warwick
On-site
GBP 50,000 - 70,000
Full time
30+ days ago

Job summary

The University of Warwick's Department of Statistics seeks applicants for multiple Assistant and Associate Professor positions focusing on Statistics and Machine Learning. Successful candidates will demonstrate excellence in research and teaching, contributing to one of the world's leading statistics departments.

Benefits

Flexible working patterns available
Support for career development
Childcare provision information

Qualifications

  • Evidence of world-class research excellence.
  • Outstanding publication record required at the Associate Professor level.
  • Ability to secure research funding.

Responsibilities

  • Deliver high-quality teaching across a broad range of degree programmes.
  • Engage in world-class research within Statistics and Machine Learning.

Skills

Research Excellence
Teaching Ability
Cross-Discipline Engagement

Education

PhD in Statistics or related field
Job description
Assistant and Associate Professor positions in Statistics and Machine Learning at Warwick

Outstanding and enthusiastic academics are sought by the Department of Statistics at Warwick, one of the world’s most prominent and most research active departments of Statistics. The Department has close relations with the co-located Mathematics Institute and Department of Computer Science and with other departments such as Economics and the Warwick Business School. Four permanent posts are available, which reflects the strong commitment of the University of Warwick to invest in Statistics and Machine Learning:

Associate Professor, Statistics

Applicants should have evidence or promise of world-class research excellence and ability to deliver high quality teaching across our broad range of degree programmes. At Associate Professor level, applicants should have an outstanding publication record. Other positive indicators include enthusiasm for engagement with other disciplines, within and outside the Department and, at Associate Professor level, a proven ability to secure research funding. Further details of the requirements for each of the four positions can be found at https://warwick.ac.uk/statjobs.

The Department of Statistics is committed to promoting equality and diversity, holding an Athena SWAN Silver award which demonstrates this commitment. We welcome applicants from all sections of the community and will give due consideration to applicants seeking flexible working patterns, and to those who have taken a career break. Further information about working at the University of Warwick, including information about childcare provision, career development and relocation is at https://warwick.ac.uk/services/humanresources/workinghere/.

Informal enquires can be addressed to Professors Jon Forster (J.J.Forster@warwick.ac.uk) or Adam Johansen (A.M.Johansen@warwick.ac.uk) or to any other senior member of the Warwick Statistics Department.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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