Associate Professor in Data Analytics and Machine Learning

Associate Professor in Data Analytics and Machine Learning

Number of open positions: 1

Application deadline: 31 August 2024

Working Hours: full-time (40 hours per week)

Expected start: By mutual agreement

Employment: 3-year initial contract (with possible extension - tenure track)

Workplace: Faculty of Informatics – Department of Machine Learning and Data Processing, Masaryk University, Botanická 68a, Brno

EU Researcher Profile: Researcher 3

Salary: CZK 72 400 - 92  600, salary will be negotiated

Job description key points

The position is focused on both research and teaching. The candidates are expected to carry out research of excellent quality in the area of data analytics and machine learning and take responsibility for selected courses included in the specializations “Machine Learning and Artificial Intelligence” and “Data Management and Analysis” within the Artificial Intelligence and Data Processing study program. In particular, the candidates should be able to prepare and deliver lectures and tutorials at the bachelor as well as master level in the following areas:

• large scale data analytics and data science;
• machine learning;
• data mining;
• database systems.

The candidates should show a large amount of flexibility in teaching subjects that are not directly related to their particular areas of research. They are expected to supervise undergraduate as well as graduate students and attract research projects to fund their research activities.

The successful candidate must have

• PhD work related to data analytics and machine learning and habilitation (“venia docendi” or equivalent);
• passion for problem-solving and a desire for continuous improvement in teaching skills;
• excellent research background in both areas of data analytics and machine learning;
• flexibility in teaching subjects that are not directly related to candidate´s particular areas of research;
• succesfully defended Master and Bachelor thesis supervised;
• experience with supervision or consultancy of PhD students;
• experience with research/development project team leadership;
• experience from other countries than Czech & Slovak Republics (at least half a year) or proof of other extensive international experience (e.g., international project leadership or extensive international collaboration with joint high-quality publications);
• standard academic proficiency in English (ability to communicate fluently in English in an international academic setting - both oral communication and writing/reading)(other language is an advantage);
• dynamic, flexible personality, able to work well in interdisciplinary and international teams.

Applicants should submit

• CV;
• copy of diploma from the highest level of education (notarial certification not required);
• cover letter explaining the candidate's motivation for the position;
• information on previous university teaching experience (list of taught courses and list of supervised theses);
• information on scientific activities
  • publications that meet a high standard of quality, such as those with notable impact factors or from reputable conferences, e.g., ranking at least B in the CORE portal;
  • research projects the candidate led or joined, etc.;
  • significant international collaboration;
• title and abstract of a lecture that can be presented as a part of the application process;
• the names and contact details of three professional referees.

We offer

• an interesting job in a prestigious university environment with international overlap and cooperation with the application sphere;
• career development and growth (e.g. university seminar series, courses provided by MU, participation in conferences, staff mobility training, participation in research projects, support of project department);
• relocation support and help from the Welcome Office MU;
• employee benefits such as 8 weeks of paid vacation per year, pension insurance contribution, Multisport card, vaccination allowance, childcare group at MU building (Komenského nám., Brno);
• workplace close to the centre of Brno with parking directly on the faculty premises.

Please submit your application, including all required documents, preferably online via the MU e-application (Please use the link in the e-application section below). In case this way of submission would not be possible, we also accept a paper application with a declaration of the reason for such a submission.

The selection process is based on the Open Transparent Merit-based Recruitment Policy. Faculty of Informatics holds the HR Excellence in Research Award. The rules of the selection processes at the Faculty of Informatics MU can be found at Selection procedure | FI MU (muni.cz).

Once submitting your application successfully, you will receive an automatic confirmation email. Candidates successful in the first round of the selection process will be invited for an in-person interview or a video-conference interview. Candidates who succeed in the second round will be invited to present a public lecture.

Queries regarding the submission procedure can be sent to HR Department: pers@fi.muni.cz.

Queries regarding the position as such can be addressed to Assoc. Prof. Hana Rudová, Head of Department of Machine Learning and Data Processing, hanka@fi.muni.cz.

Further information is available:

• Faculty of Informatics at https://www.fi.muni.cz/
• Brno at https://www.gotobrno.cz/en/