Postdoc fellowships in Data-driven development

Welcome to Linnaeus University! We meet the societal challenges of today and tomorrow in a spirit of openness, curiosity and creativity. By creating arenas for exchange of knowledge from different subjects, fields and cultures, we open up for new ideas and create new opportunities for long-term sustainable societal development. Linnaeus University – where people grow.

Linnaeus University is running various national and European projects that focus on both fundamental and applied research. The Linnaeus University Centre for Data Intensive Sciences and Applications – DISA (www.lnu.se/en/disa) addresses data-driven methods to gain deeper knowledge and understanding in a variety of applications in engineering, science, and humanities. Linnaeus University runs a graduate school for industrial doctoral students that focuses on applied research, addressing the big data and artificial intelligence challenges of our industry partners.

The advertised positions will be placed at the department of Computer Science and Media Technology and work within the DISA High-Performance Computing Center (https://lnu.se/en/hpcc/). They will be affiliated with the research group on Data Intensive Software Technologies and Applications – DISTA (https://lnu.se/en//dista/) that studies data-driven approaches, such as machine learning, artificial intelligence, and big data, to automate and improve software development. DISTA is a core research area within DISA.

The advertised positions are part of a project that focuses on supporting small and medium sized companies that want to learn more about data-driven development and high-performance computing.

Field of subject for the position: Computer Science with specialization in Data-driven development and High-Performance Computing

Placement: Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden

Employment: 100% employments, 2 positions full-time for two years with possibility for 1-year extension. At most 20% time can be dedicated to teaching and other departmental tasks

Start date: According to agreement

Job description and duties:

The position is focused on applied research in (Deep) Machine Learning and High-Performance Computing in collaboration with small and medium-sized companies (SMEs) in the Växjö and Kalmar regions. The research is guided by pilot cases, where the postdoc fellow works with an SME to find solutions to real-world problems. These real-world problems can be in different domains, such as software development, e-health, forestry, or industry 4.0.

The postdoc fellow is also expected to help educate the SMEs about the possibilities of data-driven technologies and high-performance computing and help guide them in their efforts to, e.g., improve how they work with or manage data or help scale their computing platform.

To the extent of maximal 20% of the working time, the postdoc fellow will be involved in teaching activities at different levels (incl. supervision of Bachelor’s and Master’s thesis projects). The teaching tasks relate to subjects of the DISTA research group, as well as to more general courses in computer science and software development.

The postdoc fellow is expected to regularly present intermediate/final research results at international conferences and workshops and publish them in conference proceedings and journals.

 

For requirements, assessment criteria, promotion criteria and contacts visit our website:

https://lnu.se/mot-linneuniversitetet/Lediga-jobb/?rmpage=job&rmjob=7022&rmlang=SE

Welcome to apply according to instructions, by February 10th 2023.


Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization.

Please apply by clicking on the Apply button at the bottom of the ad. Your application should be designed according to the Template for application which can be found in the Guide to Appointment procedures under important documents below the ad. The credentials you invoke must be verified with certification and they must be attached digitally in your application. Other documents, including various types of scientific works, must be submitted digitally along with the application. The application and other documents to be marked with the reference number. All documents cited must be received by the University no later than 24.00 (Local time in Sweden) on the closing day.