Lectureship in Data Science

When:
29/02/2016 – 01/03/2016 all-day
2016-02-29T01:00:00+01:00
2016-03-01T01:00:00+01:00

Annonce en lien avec l’Action/le Réseau : aucun

Laboratoire/Entreprise : Lancaster’s Data Science Institute
Durée : Permanent
Contact : n.a.davies@lancaster.ac.uk
Date limite de publication : 2016-02-29

Contexte :
Lectureship in Data Science x3

50th Anniversary Lectureships – Data Science
Salary: £33,574 to £46,414
Closing Date: Monday 29 February 2016
Interview Date: To be confirmed
Reference: AL17
As part of a major investment in Data Science we are seeking applications from outstanding individuals for three new academic positions in Lancaster’s Data Science Institute. This is an opportunity to join a world-leading community of researchers at an exciting time. Data Science is a key area of growth for Lancaster University and is founded on historic strengths in Computer Science, Statistics and Operational Research coupled with an outstanding track record in multidisciplinary research.

Sujet :
The posts form part of strategic investment that has seen the University make a substantial commitment in the form of over 15 new data science related academic positions in the last 12 months.Together with more than 70 academics with existing expertise at Lancaster, these positions are a key part of the new world-class, multidisciplinary Data Science Institute that is starting to set the global standard for an interdisciplinary approach to contemporary data-driven research challenges in areas including data and society, health, and the environment. Appointments will help play a key role in shaping this exciting new initiative.

For an informal discussion about these posts, please contact Professor Nigel Davies (+44 1524 510327, email: n.a.davies@lancaster.ac.uk) or Professor Idris Eckley (tel +44 1524 593066, email: i.eckley@lancaster.ac.uk).

For further information about Data Science activities at Lancaster please refer to http://www.lancaster.ac.uk/dsi.

Profil du candidat :
Applications are particularly encouraged from those who can make significant contributions in one of the following key areas of Data Science:

Trust, privacy and ethics of data
Data visualisation
On-line inference
Novel systems architectures for data science
The posts are available at grades 7 and 8 (Lecturer, equivalent to Assistant Professor), according to the experience and research track-record of the successful candidates.

Formation et compétences requises :
https://hr-jobs.lancs.ac.uk/Upload/vacancies/files/3020/AL17%20-%20PS.pdf

Adresse d’emploi :
For further information about Data Science activities at Lancaster please refer to http://www.lancaster.ac.uk/dsi.

Document attaché :