2 Doctoral students in Computer Science

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In the fifth generation and beyond mobile networks, data-driven network control and optimisation play an important role in meeting exponential traffic growth, stringent service requirements, and reducing capital and operational expenditures.

The Faculty of Health, Science and Technology invites applications for two doctoral studentships in Computer Science with a focus on data-driven mobile networks and services at the Department of Mathematics and Computer Science. The focus of doctoral position A is on how to design data- and service-driven solutions for latency-aware communication in the fifth generation and beyond mobile networks. The focus of doctoral position B is on how to measure and analyse end-to-end latency and related performance metrics, both in currently operational 5G networks as well as in future networks.

The work will be carried out in close collaboration with other researchers at the department and our industrial partners. For both positions the work will involve programming, modelling and experimentation, and requires a strong background in computer networks.  For position A knowledge of AI, especially machine learning is important. For position B, an interest for statistics and machine learning is desired. For both positions, experience with Python is valued.

A doctoral student is mainly expected to engage in doctoral studies. The doctoral programme consists of 240 higher education credits, including the doctoral thesis, and 120 higher education credits for a licentiate degree. A doctoral student works independently and is prepared to contribute to the subject’s and department’s activities and perform teaching and administration duties. Such duties may not constitute more than 20% of full-time.

To contribute to a positive work environment and the department’s activities, the doctoral student will be a present and active part of the day-to-day operations and workplace community.

To be eligible for doctoral studies, the applicant must meet the general and specific entry requirements (Higher Education Ordinance, Chap. 7, Sect. 35).

To meet the general entry requirements, the applicant must have been awarded a Degree of Master, satisfied the requirements for courses comprising at least 240 credits, of which at least 60 credits were at the master’s level, or acquired substantially equivalent knowledge in some other way in Sweden or abroad (Higher Education Ordinance, Chap. 7, Sect. 39).

To meet the entry requirements for third-cycle studies in Computer Science, the applicant must have completed a Master’s degree (60 credits) in Computer Science, a Master’s degree (120 credits) in Computer Science or a Master of Science degree in Computer Engineering. A person who, in some other way, in the country or abroad, has acquired equivalent qualifications also meets the specific entry requirements.

To be eligible for doctoral studies, the applicant must be considered to have the ability required to benefit from the programme (Higher Education Ordinance, Chap. 7, Sect. 35). Admission is based on individual assessment.

The assessment will focus on the applicant’s performance in previous studies, the quality of any independent projects completed during these studies, and in particular to such projects completed at a master level and in the proposed research specialization. The most important assessment criteria for the selection are scientific skills, language skills, and suitability for research on data-driven mobile networks and services.

Considerable weight will also be given to personal qualities such as the ability to cooperate, sound judgement, taking responsibility, commitment and a positive attitude towards colleagues and students.

Upon admission to doctoral studies, the person will be offered the appointment of doctoral student (Higher Education Ordinance, Chap. 5, Sect. 3). The position comprises four years of full-time studies, or five years of 80% studies and 20% teaching or other departmental duties. The position is fixed-term—one year initially, followed by possible extensions of a maximum of two years at a time. Start date as negotiated.

The salary for the doctoral studentship corresponds to the standard level of salary for doctoral students at Karlstad University.

Submit the application via the university’s web-based recruitment tool, Varbi.

Applicants are responsible for submitting a complete application in accordance with the advertisement, for providing translations of any documents written in a language other than Swedish or English, and for ensuring that the documentation allows for objective and qualitative assessments. A complete application should be submitted by the application deadline. An incomplete application may jeopardise a fair assessment of qualifications.

The application should include:

• a cover letter where the applicants account for the reasons behind their interest in the position, and why they think their qualifications and skills fit to the duties of the position. In case the applicant has a particular interest for either position A or B this should also be stated here (max. two pages in total),
• degree certificate with a complete transcript of the courses included, or a certified list of completed courses with grades and dates,
• copy of the master’s thesis or equivalent,
• where applicable, copies of publications or certificates for other qualifications
• any letters of recommendation.
• two references, such as a teacher, supervisor, or previous or current superior.

Attach all the documents and publications you wish to be considered to the electronic application (do not just provide links). Name each uploaded document to clearly indicate its content.

Documents that cannot be submitted electronically should be sent to the following address:

Karlstads universitet
Josefin Rönnqvist
651 88 KARLSTAD

Application deadline: 15 February 2023

State the ref.no: REK 2022/305

We look forward to your application!

Karlstad University has chosen advertising channels for this recruitment and firmly declines any contact with advertising or recruitment agencies.