Tenure-Track or Tenured Professor in Machine 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 nearly 20 000 students and more than 400 professors. Our campuses are located in Espoo and Helsinki, Finland.
Aalto University School of Science (Helsinki, Finland) invites applications for a
Tenure-Track or Tenured 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 position is targeted primarily at candidates for the Assistant Professor level. However, candidates with an outstanding record for Associate or Full Professor levels may be considered. 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. Aalto is currently investing heavily in fundamental research in AI and Finland to applied AI, and Aalto Department of Computer Science is the right place to pursue the next generation of machine learning and AI.
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 29 October 2017. The position will remain open until filled.
The application material (one single PDF file) shall include the following appendices:
- cover letter that includes a summary of merits and most important achievements,
- curriculum vitae (with contact details; recommended maximum length two pages),
- research statement (recommended maximum length four pages),
- teaching statement (recommended maximum length four pages),
- names, positions, affiliations and e-mail addresses of five senior academic people available for providing recommendation letters,
- the web address of the applicant’s Google Scholar Profile and Researcher ID,
- list of publications including:
- five most important publications in ranked order (1,...,5), with links to their pdf versions, and
- all publications categorised as follows:
- peer-reviewed journals
- peer-reviewed conferences
- 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.
Please contact Professor Samuel Kaski (departmental information), tel. +358503058694, or HR Coordinator Stefan Ehrstedt (application process), tel. +358503407662. E-mails: firstname.lastname@example.org.
Helsinki, 29 September 2017
The Department of Computer Science
The Department of Computer Science provides world-class research and education in modern computer science to foster future science, engineering and society. The work combines fundamental research with innovative applications. The department is known for its innovative and consistently high quality work. It is matching the very best teams in the world and is a coveted partner in international collaborations.
During the past five years, we have attracted a wide range of international applicants. This has led to appointments of almost 10 young brilliant researchers to join the department as Assistant Professors who enjoy significant autonomy in leading their research groups. Furthermore, the department is recognized for its fresh and dynamic culture and low bureaucracy.
The broad research competence areas of the department are:
- Algorithms, Logic and Computation
- Complex Systems
- Data Science and Big Data
- Digital Health
- Distributed Systems, Mobile Computing and Security
- Human-Computer Interaction, Games, Graphics and Audio
- Internet of Things
- Machine Learning, Data Mining & Probabilistic Modeling
- Security and Privacy
- Software and Service Engineering
- Software Systems and Technologies
Read more about the department at http://cs.aalto.fi/.
Tenure track in Aalto University
The tenure track is open to talented individuals who have excellent potential for a scientific career. Individuals placed on the Aalto University professorial tenure track have the possibility to advance in their career through regular performance assessments, which take into account their merits in all areas of their scope of duty. Launched in 2010, the tenure track has attracted a wide range of international applicants, giving Aalto University the possibility of recruiting top experts and young research talent to join the Aalto University community. The track consists of two assistant professor levels, associate professor and full professor. This recruitment can be made on either assistant level, and advanced candidates can be considered earlier for promotion to the next levels.
Read more about the Aalto University tenure track system at http://www.aalto.fi/en/about/careers/career_at_aalto/tenure_track/ and evaluation criteria at http://www.aalto.fi/en/about/careers/career_at_aalto/tenure_track/how_to_apply/
Living up to our values
As a community of high ethics we want to assure the highest international standard in research, education and teaching. We expect all our community members to respect Aalto values and follow the ethical principles of fair play and integrity in all our activities and the behavior that we expect from each other. Aalto University Code of Conduct is applicable to all Aalto community members and it clarifies the values that guide us.