Professor of Data Science

Professor of Data Science

TalTech - Tallinn University of Technology

Tallinn, Estonia

Job description

ENVIRONMENT

The successful applicant will join the Department of Software Science at the School of Information Technologies of Tallinn University of Technology (TalTech). The position is supported by the strategic development fund of the department, IT Academy and a recently started project “Smarter use of data via machine learning” and has close ties to the Estonian Centre of Excellence in Artificial Intelligence (EXAI), composed of groups from TalTech, Tartu University and AS Cybernetica.

RESPONSIBILITIES

Responsibilities of the applicant include research and teaching, as well as the promotion of early-career scientists. The aim of the position is strengthening both the synergy and quality of the current research of TalTech in the area of data science and artificial intelligence, while significantly enhancing the capabilities of TalTech to cooperate with Estonian industry and public sphere by joint work, consultations and education. The emphasis is on increasing the capacity and competence in the application of artificial intelligence for data science, in a close cooperation with our existing groups in data management, data mining, data semantics, knowledge representation, artificial intelligence, natural language processing, and computational statistics. The role will include supervision of PhD students as well as MSc and undergraduate students. In addition to carrying out relevant research the candidate is expected to pursue industry collaboration by acquiring R&D funding and managing teams who carry out the appropriate projects.

Professional experience

We are looking for candidates who have demonstrated excellent achievements in research and teaching according to their relevant career level. In addition to a PhD degree or equivalent scientific qualification, TalTech regulations for this career level require:

• H-index (Scopus, Google Scholar or WoS) of at least 10 in engineering sciences;
• At least 1 PhD student supervised to completion;
• At least 5 years of teaching experience and a demonstrated ability to supervise BSc and/or MSc student projects;
• Has been the PI or primary executor of a project/contract;
• Fluency in English required;
• Estonian is an advantage but not required. According to the Language Act, academic staff with foreign citizenship working in Estonia must acquire at least B1-level proficiency in Estonian after five years of employment.

WE ENCOURAGE ALL STRONG CANDIDATES IN DATA SCIENCE AND RELATED FIELDS TO APPLY.

The candidate is expected to have strong research skills in artificial intelligence for data science. This may be evidenced by a track record of publishing in venues such as Conference on Neural Information Processing Systems (NeurIPS), Knowledge Discovery and Data Mining (KDD), AAAI Conference on Artificial Intelligence (AAAI), International Joint Conferences on Artificial Intelligence (IJCAI), Conference on Learning Theory (COLT), International Conference on Machine Learning (ICML), Journal of Machine Learning Research (JMLR). The following desirable criteria will also be considered:

• A research focus on the use of AI foundation models in data science;
• A proven track record of attracting competitive research funding;
• International visibility including serving on Programme Committees of international conferences, invited talks, serving on the editorial boards of international journals etc.;
• A track record of contributions to bodies responsible for the development of the university and experience in holding managerial roles;
• A track record of collaboration with industry;
• A track record of outreach to the wider public.