The University of Helsinki, founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic community of 40,000 students and staff members. The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The International Staff Services office assists employees from abroad with their transition to work and life in Finland.

The Department of Computer Science (http://www.cs.helsinki.fi) is the leading Computer Science research and teaching unit in Finland. The department belongs to the Faculty of Science and is located in the Kumpula Campus (http://www.helsinki.fi/kumpula/english/).

The Department of Computer Science invites applications for a four-year fixed term

DOCTORAL STUDENT

position starting from December 2017. The starting date is negotiable. The student will develop advanced machine learning methods for evolving data with a particular focus on analysis of biospheric data including the fossil record. This research will draw on global fossil databases, such as NOW (http://www.helsinki.fi/science/now/), or PDBD (https://paleobiodb.org/), which contain big data of paleontology.

The goal of this research at an intersection of data science and biogeosciences is to develop a new generation of quantitative models for global scale analysis of biospheric and environmental change based on characteristics animal communities preserved as fossils over the last 20 million years and beyond. Understanding the biospheric change processes and their causal mechanisms is one of the fundamental questions in science, also attracting massive public attention.

The person to be hired will work as the member of the Life Science Informatics research group at the Department of Computer Science, lead by Assistant Professor Indrė Žliobaitė. The group is part of an interdisciplinary Biogeoscience research community at the Faculty of Science.

The successful candidate is expected to have MSc degree (or equivalent) in computer science or in a related field for carrying out PhD studies in computer science. Candidates are expected either to have some previous experience in machine learning with evolving data (concept drift, data streams, change detection, transfer learning or alike), or in life/geo-sciences (bioinformatics, ecology, evolutionary biology, paleontology or alike), and willingness to learn of both disciplines during the PhD studies.

The starting salary of successful candidate will be based on level 2 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance. The starting salary will be approximately 2000 – 2500 €/month.

Additional information can be obtained from Assistant Professor Indrė Žliobaitė, Tel.: +358-504488566, e-mail: indre.zliobaite(at)helsinki.fi.

Applications should include (1) CV with a list of publications (if any), (2) contact details of two referees, (3) a brief description of previous study and research experience and future research interests (max one page) and (4) a copy of a MSc degree certificate and a study transcript.

Please submit your application with enclosures as a single pdf document by using the University of Helsinki Recruitment System via the Apply link. Internal applicants (i.e., current employees of the University of Helsinki) must submit their applications through the SAP HR portal. The deadline for the application is 31. October 2017.

Apply at latest 31.10.2017

Due date

Tuesday, October 31, 2017