Assistant Professor in mathematical statistics
Chalmers - Göteborg

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As Assistant professor, you will devote the majority of your time to research and you will be required to spend up to 25% of your working hours participating in the teaching of mathematical statistics. The research will mainly be conducted within the project "Stochastics for big data and big systems – bridging local and global", which is being funded by the Knut and Alice Wallenberg foundation, for further information see http://www.math.chalmers.se/~rootzen/ .

The research area Mathematical Statistics includes:
medical and biological statistics
population models
statistical extreme value theory
reliability theory
quality control
sampling theory
particle systems
percolation
image and signal analysis
Markov and stationary processes
statistical modeling of material fatigue and environmental quantities.
Assistant professor is a position that offers an opportunity to qualify for higher research positions, both in academia and society at large. An assistant professor is expected to reach the Swedish docent level within the four years (in Swedish "oavlönad docent"). The position is thus limited to four years and the contract is written for two plus two years of full-time employment. After two years of employment. i.e. -progress towards the docent level will be assessed after two years of employment.

Qualifications
To be qualified for the position the applicant must have a Ph.D. degree (normally completed within at most five years before the deadline for application) preferably in mathematical statistics or possess equivalent skills and experience in this research field. Teaching and pedagogical experience is needed since the holder of the position is expected to participate in teaching. Postdoctoral university experience or experience gained from qualified research in industry or the public sector is valued.
The position is appointed by Chalmers and Chalmers' rules and recruitment process apply. Teaching skills, demonstrated through self-teaching, and leadership skills will be considered in the assessment. We strive for equal opportunities in all positions.
The undergraduates are normally taught in Swedish, although the graduate level teaching is in English. Thus good language skills are required. Applicants who do not have Swedish as native language should be able to teach in Swedish after two years of employment.

Application procedure
The application should be marked with Ref 20120359 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

Application: (Please name the uploaded document in ReachMee as: APPLICATION, family name, ref. number)
  • a first page containing name, reference number 20120359 and a list of all documents that have been enclosed,
  • description of the applicant's research and pedagogical qualifications, as well as other qualifications,
  • CV,
  • complete list of publications,
  • plans for future work within the area of the announced position, both scientific and educational
  • two reference persons who can be contacted by Chalmers (describe association with them and give their contact addresses).
A letter of application detailing your specific qualifications for the position (named: QUALIFICATIONS, family name, ref. number)
Publications: (named: PUBLICATION, family name, ref. number)
  • copies of the applicant's best scientific publications (not more than 5),
  • copies of a maximum of 5 other publications (such as pedagogy, and popular science) in support of pedagogical and other merits.
Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 07-01-2013

For questions, please contact:Information about the position may be obtained from:
Head of Department Bo Johansson, tel. +46 (0) 31 772 3535, e-mail: bo@chalmers.se or
Bernt Wennberg, tel. +46 (0) 31 772 5326, e-mail: wennberg@chalmers.se .

For more information about the department's activities, please visit the home page for the Department of Mathematical Sciences http://www.chalmers.se/math/ .

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