https://www.jobbnorge.no/ledige-stillinger/stilling/128754/associate-pr
ofessor-in-statistics
Associate Professor in Statistics
The Faculty of Information Technology, Mathematics and Electrical
Engineering at the Norwegian University of Science and Technology
(NTNU) invites applications for a full-time associate professorship in
statistics affiliated with the Department of Mathematical Sciences
(IMF).
Information about the Department
The Department of Mathematical Sciences has 36 full professors, 12
associate professors and one senior lecturer. There are in addition 2
adjunct professors, 6 adjunct associate professors, about 20
postdoctoral fellows and about 65 doctoral students. There are 9 women
in tenured positions. The department has five research groups: algebra,
analysis, differential equations and numerical analysis, geometry and
topology, and statistics.
The department has a wide range of teaching responsibilities. This
includes all the basic education in mathematical sciences for
engineering and natural science students, Bachelor’s and Master’s
programs in Mathematical Sciences, and a special Master’s program in
Industrial Mathematics for engineering students. The department also
plays a central role in a Master’s program for the education of high
school science teachers. The master programs enjoy ample recruitment of
highly qualified candidates, and as a consequence, the same holds also
for the PhD-program.
The department aims to sustain and strengthen the research activity
within mathematical sciences, improve the teaching at all levels, and
strengthen the capacity for supervising master- and PhD-students. The
department is currently involved in several innovative teaching
activities.
Field of research
The position will be associated with the statistics group at the
Department of Mathematical Sciences. The current research in statistics
includes computational statistics, biostatistics, industrial
statistics, population biology, spatial statistics and theoretical
statistics. A large part of the research is methodological and
motivated by applications in other disciplines. In a recent evaluation
by the Norwegian Research Council, the research of the statistics group
obtained the highest mark - "Excellent/World leading".
The department is seeking candidates who carry out excellent research
in statistics. Preference will be given to candidates who have a strong
potential to strengthen the current research areas in statistics, or to
serve as a bridge between the different research activities. In
particular, the department wants to strengthen research in statistical
learning/data science.
Responsibilities and duties
The associate professor is expected to contribute towards excellent
research and research-based education in statistics, in cooperation
with the existing staff.
The research activities of the department have a strong international
profile and impact. The associate professor is therefore expected to
initiate and take part in national and international research projects.
Interdisciplinary collaboration and interaction with other departments
at NTNU are strongly encouraged.
The research activities of the department rely crucially on external
funding, and the development of educational programs may also receive
external funding. The associate professor is expected to work actively
to receive research grants and other external income from the Research
Council of Norway, Nordic and European research and educational
agencies, relevant industry, and other available sources.
The associate professor is expected to contribute to an excellent
learning environment, in collaboration with colleagues, students, and
external stakeholders. The associate professor is expected to teach
courses at all levels and should supervise MSc and PhD students.
In addition to research and education, the associate professor is
expected to be able to disseminate relevant parts of her/his research
to a wider audience.
The associate professor is expected to participate in the formal
management of research, education, and other relevant areas of activity
in agreement with the Department Head.
Qualifications
Applicants must hold a PhD in statistics or a related field. The
applicant will primarily be evaluated on the basis of scholarly
achievements, teaching experience and teaching potential, communication
skills, and leadership potential.
The successful applicant must have a strong academic track record
showing internationally competitive research, or demonstrate a clear
potential to make a future international impact.
Documented teaching qualifications and experience will be considered a
significant advantage. The applicant should demonstrate communication
skills that qualify for excellent teaching, supervision, and
dissemination.
Documented external funding and experience with research leadership
will be rated positively. A person employed in the category of
associate professor will later have the possibility of applying for a
full professorship.
Application requirements
The application should contain:
CV including information relevant for the qualifications and a full
list of publications with bibliographical references
Testimonials and certificates
The most important publications that are relevant for the
evaluation of the applicant’s qualifications (maximum 10 publications)
A research proposal for the next few years (maximum 5 pages)
Information about the applicant's pedagogical qualifications; see h
ttp://www.ntnu.edu/vacancies/pedagogical-qualifications
Information about dissemination activities
Other documents which the applicant finds relevant
The applications will be evaluated by international experts. The
evaluation will take into account not only the accumulated academic
production, but also the candidate’s potential for scientific
development. Young researchers are therefore encouraged to apply.
Applicants that have been short-listed will be invited for interviews
and to give lectures. Strategic considerations may be taken in the
final selection of candidates.
Formal regulations
If the candidate does not have prior formal pedagogical qualifications
in university-level teaching, the candidate must complete a recognized
course which gives a pedagogical qualification within the first two
years of employment. NTNU offers such courses.
New faculty members who are not already fluent in a Scandinavian
language are expected to achieve proficiency in Norwegian or another
Scandinavian language within three years. This proficiency should
correspond to level three in the “Norwegian for foreigners” courses
provided at the Department of Applied Linguistics at NTNU.
Diversity is important to achieve a good, inclusive working
environment. We encourage all qualified applicants to apply, regardless
of gender, disability, and cultural background. NTNU wishes to increase
the number of women on its workforce, and women are specifically
encouraged to apply.
The appointment is to be made in accordance with the regulations for
State Employees and Civil Servants in Norway. The candidate must adhere
to regulations that concern changes and developments within the
discipline and/or the organizational changes concerning activities at
NTNU.
Further details about the position can be obtained from Head of
Department, Professor Einar Rønquist, phone: +47 73593547, e-mail: eina
[log in to unmask] .
The position as associate professor follows code 1011. Normally the
position is remunerated with a gross salary ranging from NOK 485 700 to
NOK 719 600 per annum. Two per cent of the salary will be deducted as
an obligatory premium to the Norwegian Public Service Pension Fund.
Under Section 25 of the Freedom of Information Act, information about
the applicant may be made public even if the applicant has requested
not to have his or her name entered on the list of applicants.
Applications are to be submitted electronically through this page.
Preferably, all attachments should be combined into a single file.
Reference no: IME 056-2016.
Application deadline: 2016-10-10.
--
Håvard Rue
Department of Mathematical Sciences
Norwegian University of Science and Technology
N-7491 Trondheim, Norway
Voice: +47-7359-3533 URL : http://www.math.ntnu.no/~hrue
Mobile: +47-9260-0021 Email: [log in to unmask]
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