Linnaeus University
PhD student in Computer Science with specialization in Software and Information Quality
Linnaeus University
Linnaeus University is one of Sweden's newest higher education institutions. The university was formed when the University of Kalmar and Växjö University merged in 2010.
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OM TJÄNSTEN
Publicerad: 1 månad sedan
Sista ansökningsdatum: Jun 01
Plats: Växjö, Sweden
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PhD student in Computer Science with specialization in Software and Information Quality

Welcome to Linnaeus University! A place for knowledge, ideas and development. For growth potential and a belief in the future. In Småland and in the world. 

The ubiquity of sensor, computing, communication, and storage technologies provides us with access to previously unknown amounts of data—Big Data. It has revolutionized research communities and their scientific methodologies and innovated the approaches to knowledge and theory building, validation, and exploitation in the Sciences and the Humanities. With the foundation of a Linnaeus University Center on “Data Intensive Sciences and Applications” (DISA, https://lnu.se/disa) in Jan 2017, Big Data has officially become a research profile at Linnaeus University. 

The advertised position will be physically placed in the Software and Information Quality group. The research group focuses on how data can be used to improve quality and the development process. Our vision is to provide tools and services, created from data, that can help developers. These tools and services will be based on machine learning, optimization, etc. The research required is highly relevant for both academia and industry, and most of the work will be conducted in collaboration with industry. 

Field of subject for the position: Computer Science

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

Extent: 100% 

Work description:

The focus of this advertised PhD position and the corresponding research project is on how we can use large quantities of data to improve how we develop software and documentation as well as increase the quality of it. The research will be performed within DISA, funded by Linnaeus University. We will gather and analyze data, build and train models, and evaluate them. 

Duties consist mainly of the following: 

  • Graduate studies in the field of Computer Science, with a doctoral degree as the goal. The PhD thesis should be completed and defended within the official appointment duration of five years (4 years of graduate studies, 1 year of departmental tasks).

  • Research in the field computer science, machine learning, and optimization. The position is part of DISA and its subproject Software and information quality.

  • Regularly present intermediate research results at international conferences and workshops, and publish them in conference proceedings and journals.

  • Close collaboration with the other project members in an interdisciplinary research environment as well as with domain experts.
  • At most 20% of the working time will be dedicated to teaching and other departmental tasks.

For qualifications, see Lnu.se

Further information: 

Please contact the PI of the DISA subproject on Software and Information Quality, Ass.-Prof. Morgan Ericsson, morgan.ericsson@lnu.seor the DISA research coordinator Prof. Welf Löwe,welf.lowe@lnu.se, +46 76 760 36 62.
Head of department, Assoc.-Prof. Jesper Andersson, +46 470 708460, jesper.andersson@lnu.se. HR-partner, Carina Axelsson, +46 470 708507, carina.axelsson@lnu.se

Welcome to apply online no later than 2017-06-01. The application must include a cover letter (with a motivation why the candidate wants to pursue this PhD project), a resume and the contact information of two referees. In addition, a link to the candidate’s Master’s thesis should be provided.

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. Applicants are requested to the application resolving CV, cover letter , a copy of a relevant essay , grades and certificates and other relevant documents. The applicant also requested to submit with their application a proposed research plan within the current area of research. All documents must be attached to digital in the application. The application and other documents shall be marked with the reference number. All documents cited must be received by the University no later than 24.00 on the closing day.

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