Senior lecturer in informatics with a specialization in machine learning

Senior lecturer in informatics with a specialization in machine learning

Sweden 31 Aug 2021
University of Skovde

University of Skovde

Nonprofit organization, Browse similar opportunities

OPPORTUNITY DETAILS

Nonprofit organization
Area
Host Country
Deadline
31 Aug 2021
Study level
Opportunity type
Specialities
Opportunity funding
Full funding
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

The position is offered within the area of informatics, with a specialization in machine learning (ML). At the University of Skövde, informatics is defined as the science that studies how information is represented, processed and communicated in artificial and natural systems, and how such systems are used and developed in order to achieve usable and effective applications and solutions for individuals, organizations or society.

The senior lecturer will strengthen the competence areas within artificial intelligence (AI) and data science. The position primarily comprises teaching, research, administration and supervision. Additional assignments may be included in the position. The senior lecturer will contribute to the research conducted within the Skövde Artificial Intelligence Lab (SAIL) and will be part of the teaching team for the Data Science Master’s programs. The research group SAIL at the University of Skövde consists of about 20 researchers and teachers focusing on various aspects of AI and data science. In recent years, machine learning and trustworthy AI have emerged as focus areas of SAIL, and today they’re part of almost all of the group’s activities, from understanding complex industrial processes to situation analysis and awareness, from design of molecules within cheminformatics to tactical decision support in aircraft. Regarding ML, of particular interest are issues related to advanced analytics, i.e., predictive analytics, prescriptive analytics, and forecasting, and issues related the usefulness and usability of ML, e.g., interactive ML and how to incorporate domain knowledge and human expertise in ML. The group has a focus on applied research, with a wide range of partners in industry and the public sector: Steel and process industry, defence and security, aerospace, automotive, pharmaceutical industry, agricultural industry, retail, sport industry and healthcare. See also www.his.se/en/sail.

The qualification requirements are:

In addition to the qualification requirements, the bases of evaluation for this position are:

For this position, special emphasis will be placed upon documented experience in teaching ML, documented experience of research in ML, documented experience in collaboration with academia, business, and public sector, and documented experience of applying for and receiving external research grants.

The University of Skövde strives towards ethnical and cultural diversity and equal gender distribution within all employment categories.

The position is full time (100 %) permanent employment. The University applies a probationary period of 6 months.

Application deadline: 31 August 2021

The reference number: Ref nr HS 2020/252

Contact information

Information about the position is provided by Henrik Svensson, Head of Division, and Göran Falkman, research leader of SAIL. Union information is provided by Anders Johansson (SACO-S), Sonja Nohlgren (ST). These persons may be reached through the University’s switchboard, 0046-(0)500-44 80 00.

Application
You apply for the position at our website, www.his.se/jobb, by clicking “Apply” at the bottom of the advertisement. Please submit below listed documents:

If you have publications that cannot be submitted with your application electronically, please contact the Human Resources Department at hr-specialister.hr@his.se. The publications must reach the University no later than one week after the application deadline.

According to the regulations of the National Archives, the University is obliged to keep application documents for two years after the appointment of the position. Applicant requesting documents to be returned will have them returned after the two years, otherwise they will be eliminated.

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