four positions in statistics at Warwick [reposted]

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:

Assistant Professor, Applied Statistics

Associate Professor, Machine Learning

Assistant Professor, 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 inquiries 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.

Closing date: December 12, 2022.

More details and a link to the application forms: https://warwick.ac.uk/statjobs

Further information about the Department of Statistics: https://warwick.ac.uk/stats

Further information about the University of Warwick: https://www2.warwick.ac.uk/services/humanresources/jobsintro/furtherparticulars

 

Data science for social good fellowships [DSSGx UK 2023]

Warwick is (again) running a 12-week summer programme bringing together some of the top student talents from data science, machine learning and artificial intelligence, all over the World, to work on real-world data science challenges and deliver positive social impact. Applications for DSSG 2023 are now OPEN! Click here for the application form (please read the information carefully) and click here for the FAQs for 2023. (The application also works for a similar programme in Kaiserslauten, Germany.

DSSG helps not-for-profit organisations and government bodies to achieve more with their data by enhancing their services, interventions and outreach, helping fulfil their mission of improving the world and people’s lives.

The programme gives not-for-profit organisations and government bodies unprecedented access to inspiring, top-tier data science talent. This helps build their capacity to use cutting-edge quantitative methods to address societal challenges in areas such as education, health, energy, public safety, transportation and economic development.

At the same time, it provides intensive case-based and supported training to students to create industry-standard data science products in collaboration with government agencies and NGOs, to deliver positive social impact. And it builds a world-wide community of data scientists who care about the social good.

In 2019, the University of Warwick together with the Alan Turing Institute brought DSSG to the UK. The University of Warwick has run it each year since and now preparation is well underway for DSSGx UK 2023, which will be held at the University of Warwick, UK, from 5 June to 25 August.

wrong statistics

The Guardian reported today on a larger probability for men drivers to kill/injure a pedestrian, when compared with female drivers. Which is somewhat misleading. The figures report on the probability that the driver is male, given a serious collision occurred. But it does not directly reflect on the (very probable!) gender difference in dangerousity, i.e. the difference in the probabilities that a female driver vs. a male driver run over a pedestrian because it does not account for the probable difference in women vs. men drivers on the road at any given time, or on the mileage accumulated by each gender over a given year. Which differs by almost two…  (As mentioned in the article, a disproportionate percentage of accidents are due to vans, which again are more likely to be driven by men.)

send off the clowns!

another duh infographic