Postdoc Computer Science

Welcome to Linnaeus University
Where knowledge grows.
We are an international university in Småland, Sweden. Together we set knowledge in motion for a sustainable societal development.

The Department of Computer Science carries out research in three main subjects: Data intensive software technologies, Information visualization and visual analytics, and Software architecture and self-adaptive systems. The Department is running various national and European projects that focus on both fundamental and applied research. It constitutes the core of the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) that addresses data-driven methods to gain deeper knowledge and understanding in a variety of applications in engineering, science and humanities. Combined with research from application fields, such as astrophysics, engineering, linguistics, social science and eHealth, we create a unique dynamic. The Department 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. Together with corresponding educational programs on Bachelor’s and Master’s level, most prominently the Master of Science in Engineering, we constitute the complete knowledge environment “Smarter Systems”.

Field of subject for the position: Computer Science with specialization in Data driven approaches for smarter recommender systems
Placement: Department of Computer Science, Faculty of Technology – Växjö Campus, Sweden

Extent: 100%

Duties:
Duties consist mainly of the following:


• Research within the fields of data science and recommender systems.
• Regularly present intermediate/final research results at international conferences and workshops, and publish them in conference proceedings and journals.
• Close collaboration with the other members in our interdisciplinary research environment as well as domain experts.
• At most 20% time can be dedicated to teaching and other departmental tasks.

Qualifications:
The Postdoc position requires a PhD degree in Computer Science or an equivalent degree. The doctorate shall have been obtained no longer than three years before the expiration date of the application.

Eligibility for this position also requires that the doctoral thesis has a focus on data intensive technologies, such as, machine learning, and recommender systems applied to several different application areas.

Assessment criteria:
Excellent knowledge in the focused research areas of data driven technologies and recommender systems is a must. Good programming skills in relevant languages (e.g., Java, Python) and solid foundations in mathematics and statistics are strong advantages. Teaching experiences in the related fields is a plus. Documented expertise and working experience within at least one of the following research and educational areas is of great advantage:  


• Machine learning, deep learning, and statistics,
• Big data analytics,
• Recommender systems,
• Contextualization,
• Computer vision,
• Application of these technologies in different areas, such as, e.g., in human learning/training, learning analytics, and health/physiotherapy/elderly care.

Excellent written and oral communication skills in English are required. Swedish skills a plus. Teamwork experiences should also be documented in the application. Since the subject is male-dominated, we encourage female applicants.

Applicants will be selected through a qualitative overall assessment of the competences and skills, assessed most suitable to conduct research and to contribute to a successful development of the research environment.

Union representatives may be contacted via the university switchboard at +46-772-288000. 

Application deadline is 2020-06-22 marked with diary number 2020/400-2.2.1

Further information Please contact: 

Professor Welf Löwe, +46 470 708495, welf.lowe@lnu.se

Head of department, Assoc.-Prof. Jesper Andersson, +46 470 708460, jesper.andersson@lnu.se

Human Resources Consultant, Emmy Andersson, +46 480 446108 emmy.andersson@lnu.se


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.