Open vacancy: Tenure Track Professor in Machine Learning

Keywords include statistical machine learning, probabilistic modelling, Bayesian inference, kernel methods, computational statistics or deep learning.

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto University has six schools with more than 400 professors. Our campuses are located in the Helsinki metropolitan area, Finland.

Aalto University School of Science (Helsinki, Finland) invites applications for a:

Tenure Track Professor in Machine Learning

The vacancy at the Department of Computer Science is open to outstanding individuals who hold a doctorate and are interested in an excellent opportunity to pursue a successful scientific career. The call is open on the Assistant Professor levels of the tenure track system. While we expect most successful applicants to have carried out at least one postdoctoral period, all outstanding candidates will be considered.

We are looking for a professor to either further strengthen our strong research fields, with keywords including statistical machine learning, probabilistic modelling, Bayesian inference, kernel methods, computational statistics, or complementing them with deep learning. Collaboration with other fields is welcome, with local opportunities both at Aalto and University of Helsinki. A joint appointment with the Helsinki Institute for Information Technology HIIT a joint research centre with University of Helsinki, can be negotiated.

With nine professors and ca. 100 PhD students and postdocs working in machine learning, data mining, and probabilistic modelling, Aalto Department of Computer Science is one of Europe’s leading centres of research in the field of the call. The current faculty’s strength is apparent in e.g. the high volume of extremely competitive funding from the Academy of Finland (equivalent to National Science Foundation) and the European Research Council (ERC), as well as the volume of high-achieving international students entering the MSc and PhD programs in Machine Learning and Data Mining. Furthermore, as the foremost CS educator in Finland, the department is home to the majority of the best Finnish students. In total, the department hosts 44 professors with diverse interests, forming a fertile environment for cross-disciplinary collaborations. On a larger scale, as a technology-friendly, yet small country, Finland offers ample opportunities for low-overhead collaboration with industrial and government partners as well.

A person at any level of the academic tenure track system is expected to perform world‐class research, to teach, supervise and otherwise advance both graduate and undergraduate education, to be an active member of the international scientific community, and to exhibit academic leadership. Career advances on the tenure track are based on scheduled performance assessments, which take into account the candidate’s merits in all these areas.

The position comes with a competitive start up package. The salary for the position follows the salary scale in use at Aalto University, but applicants may also provide salary requirements.

How to Apply

Applications with attachments for the tenure track position are to be addressed to the Dean of the Aalto University School of Science and submitted through the link below (Apply for this job). Review of the position will begin on 6 November 2016. The position will remain open until filled. Applications shall consist of one single pdf file, with file name "lastname_firstname_application.pdf". All material should be in English. 

The application material shall include the following appendices:

  1. cover letter  that includes a summary of merits and most important achievements,
  2. curriculum vitae (with contact details; recommended maximum length two pages),
  3. research statement (recommended maximum length four pages),
  4. teaching statement (recommended maximum length four pages),
  5. names, positions, affiliations and e-mail addresses of five senior academic people available for providing recommendation letters,
  6. the web address of the applicant’s Google Scholar Profile and Researcher ID,
  7. list of publications including:
    1. five most important publications in ranked order (1,...,5), with links to their pdf versions, and
    2. all publications categorised as follows:
      1. peer-reviewed journals
      2. peer-reviewed conferences
      3. other publications

The applicants will be reviewed on the basis of their research achievements in relation to career stage; teaching credentials and activity in scientific community. Shortlisted applicants will be asked to supplement their applications with a more detailed research and teaching plan, and material that describe their merits in these areas in more detail.

Should there be a lack of eligible outstanding applicants, the application period may be extended. While all applicants who have submitted an application by the deadline will be appropriately considered, Aalto University reserves the right to consider also other candidates for the announced position.

Further Information

Please contact Professor Samuel Kaski (departmental information), tel. +358503058694, or HR Coordinator Stefan Ehrstedt (application process), tel. +358503407662. E-mails: [email protected].

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