Associate Professor or Full Professor of Statistics

Profilbillede
dato

BEMÆRK: Ansøgningsfristen er overskredet

Associate Professor or Full Professor of Statistics
Department of Mathematical Sciences
Faculty of Science

University of Copenhagen

The Department of Mathematical Sciences invites applications for a position as Full Professor or Associate Professor of Statistics. The application deadline is 17. September 2023, and the starting date is 1 April 2024 or as soon as possible thereafter, subject to negotiation.

We welcome applications in all areas of statistics, including applied statistics, statistical methodology, computational statistics, machine learning and mathematical statistics.

The position may be applied for at the associate professor level or at the full professor level. Please note that it is possible to apply at both levels. We encourage you to do so if in doubt. If you apply at both levels, two separate applications must be submitted (see below).

Applicants are expected to have an internationally highly recognized record of outstanding achievement in research with ground-breaking contributions to the applicant's area of specialization and to have strong documented university level teaching credentials. They must be able to explain and reflect upon their own teaching practice and portfolio. Pedagogical training or supervision equivalent to the University of Copenhagen teacher training programme for assistant professors is necessary. Candidates are also expected to have managerial qualifications, for instance in managing their own research group, and outreach experience.

Duties include furthering the applicant’s own research, development of the scientific field, research assessment tasks, grant applications, and research management including research supervision. Duties can include interdisciplinary research projects and participation in research-based statistical consulting in the Data Science Laboratory. The successful applicant must also teach, supervise, prepare and participate in examinations within statistics, and fulfill other tasks requested by the Department. Teaching obligations may include activities with external partners in our continued education programme.

The Department
The Department is a leading mathematics institution with a vibrant and friendly international research environment that spans several areas of mathematics, applied mathematics and statistics. The research within the section of Statistics and Probability Theory (SPT) spans a broad selection of areas, including mathematical biology, applied statistics, causality, graphical models, functional data analysis, inference for stochastic processes as well as non- and semiparametric asymptotic theory. The faculty of SPT is, in addition, engaged in several interdisciplinary research projects with collaborators in ecology, genetics and genomics, health, plant and food sciences, physics, computer science and economics. SPT also runs the statistics part of The Data Science Laboratory, which is a joint venture with the Department of Computer Science that supports, teaches and collaborates with researchers and students across the Faculty of Science on all aspects of data science, including statistics. The department also has strong groups in actuarial and financial mathematics, operations research and quantum information theory and several areas of pure mathematics. It teaches a large portfolio of undergraduate and graduate courses both for students in the mathematical sciences and for students of other subjects at the Faculty of Science. For information about the Department of Mathematical Sciences, please visit our website https://www.math.ku.dk/english/, for information about the Statistics and Probability Theory Section, see https://www.math.ku.dk/english/research/spt/.

Inquiries about the position can be made to the Head of Department, Professor Mogens Steffensen.

Copenhagen is among the most livable cities in the world with a rich culture within music, theater and associations (https://www.visitcopenhagen.com). Life for families is made easy by a publicly supported daycare and health care system, maternity/parental leave and six weeks of annual vacation. International candidates may find information on living and working in Denmark https://www.workindenmark.dk. Useful information is also available at The International Staff Mobility office at the University of Copenhagen (https://ism.ku.dk) that offers a variety of services to international researchers coming to and working at the University of Copenhagen. Good opportunities to apply for research funding are available in Denmark.

Assessment of applicants will primarily consider their level of documented, original scientific production at an international level, including contributions to developments in their field, as well as their documented teaching qualifications. The ability to attract external funding will also be considered as will managerial and outreach qualifications.

University of Copenhagen’s criteria for recognising merit
Six overall criteria apply for associate professor / full professor appointments at the University of Copenhagen. The six criteria (research, teaching, societal impact, organizational contribution, external funding and leadership) are considered a framework for an overall assessment of the candidates. Furthermore, each candidate must be assessed according to the specific requirements stated in the job advertisement.

Criteria for Associate professors: https://www.math.ku.dk/english/research-files/forms/MATH_Criteria_for_recognising_merit_Associate_professors.pdf

Criteria for full professors: https://www.math.ku.dk/english/research-files/forms/MATH_Criteria_for_recognising_merit_professors.pdf .

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State. Negotiation for an individual salary supplement is possible.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Filing of application
The application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.

Please include

  • Curriculum vitae including information about external funding
  • Diplomas (Master’s and PhD degree or equivalent)
  • Research plan – description of current and future research plans
  • Description and documentation of teaching experience and qualifications according to university guidelines
  • Complete publication list
  • Separate reprints of 5 particularly relevant papers
The deadline for applications is Sunday 17 September 2023 23:59 GMT +2.

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. Note that being on the short-list is not equivalent to being assessed qualified for the position. Short-listed candidates may potentially be deemed “not qualified” by the Assessment Committee. A sub-set of the qualified short-listed candidates will be selected for a formal interview by the Interview Committee.

You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/.

Interviews will be held on 5 January 2024.

Please refer to the following no. in future communication in this case:
211-0531/23-2E Associate Professor of Statistics
211-0247/23-2K Full Professor of Statistics







INFORMATIONER OM STILLINGEN:

- Arbejdspladsen ligger i:

Gladsaxe Kommune

-Virksomheden tilbyder:

-Arbejdsgiver:

KU - SCIENCE - NBI, H.C. Ørsted Instituttet, Universitetsparken 5, 2100 København Ø

-Ansøgning:

Ansøgningsfrist: 13-08-2023; - ansøgningsfristen er overskredet

Ved skriftlig henvendelse: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=159714&DepartmentId=18971&MediaId=4632&SkipAdvertisement=true

Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5876764

Denne artikel er skrevet af Emilie Bjergegaard og data er automatisk hentet fra eksterne kilder, herunder JobNet.
Kilde: JobNet