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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture.
The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here.
Are you interested in learning more? Read about Umeå university as a workplace
Umeå University welcomes applications for a permanent position as full Professor in Data Science with focus on data analysis and machine learning at the Department of Computing Science. The position, which is established through the Wallenberg Autonomous Systems Program (WASP), comes with a substantial recruitment package. Last date for application is October 31, 2016.
Work description
The emphasis of the position is data analysis and machine learning. The primary focus is on basic research that is expected to carry high industrial relevance in the long term. Examples of areas of expertise include learning for data streams, stochastic learning algorithms, big data analysis, data mining, deep learning, pattern recognition, kernel based learning, statistical learning, and reinforcement learning. Although expertise should be primarily in the core of data analysis and machine learning, the applicant should ideally also have experience from applying the research in different application areas. The recruited candidate is expected to collaborate with research groups in autonomous systems at Umeå University and in WASP.
The position offers stimulating and challenging tasks. A main criterion for employment is a strong commitment to research, and established research leaders are encouraged to apply. The successful candidate will have an important role and large freedom in developing the area of data analysis and machine learning at the department, both in research and in undergraduate and graduate education. The successful candidate is also expected to develop collaboration across institutional boundaries inside and outside the university and within WASP.
The position includes a substantial recruitment package including full funding for the new professor to recruit two PhD candidates (four years each) and 2 post docs (2 years each). The PhD candidates will take part in the highly attractive national WASP Graduate School.
Further information about employment conditions and benefits will be available from August 31 2016 at www.cs.umu.se/working_cs_umu.
Eligibility
To qualify for an appointment as professor, the candidate must provide documentation to demonstrate both scientific and teaching skills. Furthermore, administrative capability and the ability to lead and develop staff are criteria for assessment as well as the ability to interact with the surrounding community.
The notion of scientific skills refers to:
The notion of pedagogical skills refers to:
A high level of proficiency in both spoken and written English is a requirement
Assessment criteria
In the selection of candidates particular emphasis will be put on the degree of scientific expertise. Next, pedagogical skills will be taken into account. In addition, regard will be given to administrative capability, the ability to lead and develop staff, and the ability to interact with the surrounding community.
Scientific expertise must relate to the core of data analysis and machine learning, with focus on compute and method oriented research, rather than pure theory development. Documented experience from applying that expertise in at least two application areas is an advantage. The quality, originality, and timeliness of the research contributions, as well as the research’s relevance to WASP, will be assessed. Significant emphasis will be on scientific work published in internationally well-respected scientific journals and conference proceedings of scientific conferences. Documented ability to competitively obtain research funding is important.
Teaching skills must also bear upon the field of data science with emphasis on data analysis and machine learning. Proven experience of teaching at both undergraduate and graduate / research level is required, as well as documented experience in supervision of theses and educational development and leadership.
Application
The application, preferably written in English, should include:
The application is to be submitted on the MyNetwork Pro recruitment system October 31, 2016 at the latest. We welcome your application!
For further information about the position please contact Professor Erik Elmroth, tel +46 90-786 6986, elmroth@cs.umu.se.
Type of employment | Permanent position |
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Contract type | Full time |
First day of employment | upon agreement |
Salary | monthly salary |
Number of positions | 1 |
Full-time equivalent | 100 % |
City | Umeå |
County | Västerbottens län |
Country | Sweden |
Reference number | AN 2.2.1-880-16 |
Contact |
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Union representative |
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Published | 01.Jul.2016 |
Last application date | 31.Oct.2016 11:59 PM CET |