On behalf of the Department of Mathematics of the Faculty of Nuclear Sciences
and Physical Engineering at the Czech Technical University in Prague, I am
forwarding information about the following job opening.
Faculty of Nuclear Sciences and Physical Engineering (FNSPE) of the Czech
Technical University in Prague invites applications for a senior academic
position in the area of machine learning, deep learning, data science,
mathematics, or statistics, with a focus on data analysis. We are seeking
exceptional candidates with a strong research background, proven track record,
and the ability to lead a research group, publish in high-impact venues, and
secure competitive research funding.
Position Overview
FNSPE is one of the leading scientific and educational institutions in the
Czech Republic. It covers a wide range of fields in mathematics, physics,
computer science, chemistry, material sciences, or nuclear engineering. The
successful candidate will be appointed at the rank of Assistant Professor
(tenure-track), Associate Professor, or Full Professor, depending on his/her
qualifications and experience. The position will begin in September 2025 or
later. For tenure-track candidates, the initial contract is for two years, with
the possibility of extension following a positive evaluation. After a
successful habilitation, a permanent position will be offered.
Key Responsibilities
Leading cutting-edge research in machine learning, deep learning, data science,
and related fields, with the goal of publishing in international journals and
conferences. Securing research grants and funding for the support and
development of research activities. Formulating and implementing strategic
research visions to advance the department's and faculty's research goals.
Establishing and leading a research group, including mentoring postdoctoral
researchers and students. Developing and teaching courses at the bachelor's,
master's, and doctoral levels, with a focus on modern data analysis, machine
learning, and related areas. Collaborating with international institutions or
industry partners on innovative research projects.
Essential Qualifications
Ph.D. in computer science, mathematics, statistics, or a related field. A
strong scientific profile, demonstrated by high-quality publications in
peer-reviewed international journals or by proven ability to secure competitive
research funding in an international environment. Experience with developing
and applying modern statistical methods, including machine learning, big data
analysis or business analytics. Ability to integrate scientific activities,
teaching and supervision of student theses, including training a supervision of
doctoral students. Fluency in English is required. Knowledge of Czech is not
mandatory at the time of application, but the successful candidate is expected
to acquire competence in Czech for administrative and teaching purposes within
three years.
We Offer
An interesting job in a prestigious university environment, with international
collaboration and cooperation with industry. A flexible work schedule
supporting work-life balance. A competitive salary in the Czech academic
context, reflecting qualifications and experience. The basic guaranteed income
is expected to be around 3200 EUR. This amount can increase based on successful
acquisition of own research grants. A central Prague location, offering a
vibrant cultural setting and high quality of life. Opportunities for career
development, including participation in university seminars, courses offered by
CTU, conference attendance, international mobility programs, and research
project support from the university's project department. Support for
relocation and integration, including administrative matters. Employee
benefits, including eight weeks of paid vacation per year, contributions to
pension insurance, a Multisport card, and childcare facilities at CTU.
Contact Information
In case of interest, please submit your application via e-mail to
personalni@fjfi.cvut.cz. The application should include a copy of diploma from
the highest level of education, a cover letter explaining the candidate's
motivation for the position, CV, information on previous university teaching
experience, including a list of courses taught and theses supervised,
information on scientific activities, including high-quality publications and
research projects led or joined by the candidate, plan for scientific,
research, and possible teaching activities for the next three years. Letters of
recommendation are welcome (maximum of 3) and should be sent directly by the
authors to the email address above. Complete applications must be received no
later than April 30, 2025.
Informal inquiries concerning the position are welcome, please contact prof.
Milan Krbálek at milan.krbalek@fjfi.cvut.cz.
Czech Technical University stands for equal opportunities and diversity. We
strongly encourage qualified women to apply. Child-rearing periods will be
taken into account when assessing your scientific career.
More information: https://fjfi.cvut.cz/media/com_form2content/documents/c14/a8663/f61/fjfi-ad.pdf
Best regards,
Jan Volec
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