This advert is not available!
Sapere Aude—dare to be wise—is our motto. Our students and employees develop knowledge and expertise that enrich both people and the world around them. Our academic environment is characterised by curiosity, courage and perseverance. Gender equality, diversity and a democratic approach form the foundation of our organisation. We are located in an active and scenic region and we promote sustainable development in close collaboration with the wider society.
Karlstad University has a total of approximately 1,400 employees and 17,300 students spread across two inspiring campus environments in Karlstad and Arvika.
More information at: kau.se/en/work-with-us
A PhD position in computer science, focused on the application of machine learning to smart grid renewable energy management, is available within the Distributed Systems and Communications (DISCO) research group at the Department of Mathematics and Computer Science, Karlstad University. Research within DISCO is focused on computer networking, cloud/edge computing and next-generation networking technologies.
The Department of Mathematics and Computer Science consists of the two research subjects: Mathematics and Computer Science. It has a research and teaching staff of more than 60 persons. In Computer Science, research and education are focused on computer networking and distributed systems, computer security and privacy, and software engineering. Both research and education are conducted in close cooperation with international, national and regional partners from both academia and industry.
The PhD position is linked to a new project AI4ENERGY, which is an industrial collaboration project funded by Energimyndigheten of Sweden. AI4ENERGY aims to research, how Artificial Intelligence (AI), Machine Learning (ML), edge and cloud computing can be used to improve energy management of renewable energy sources. Research includes the application of AI to predict renewable energy production and prosumers consumption patterns, as well as to develop AI and optimization techniques for renewable energy trading.
The candidate is expected to carry out research in this area by combining implementation work with practical experiments, simulations and/or emulation of renewable energy management systems and micro grids. The candidate should have strong background and interest in optimization, ML, and cloud and/or edge computing. Knowledge and/or experience within one or more of the areas of edge compute platforms, mathematical optimization, algorithm design, application of ML for time series prediction, energy market simulation/emulation, and data analysis are therefore desirable. It is required that the candidate has very good programming skills, as well as proficiency of the English language (written and spoken).
The candidate is expected to work independently, as well as in an interdisciplinary team, where researchers from Electrical Engineering (Energy Systems) and Computer Science collaborate. A majority of the work will be done in cooperation with other scientists and engineers from Glava Energy Center, and it is therefore desirable that the candidate is able to perform well in collaborative work and has experience of working in projects.
Eligible for this position are candidates that meet the general admission requirements as well as the specific admission requirements and be judged to have the ability otherwise required to pursue the programme successfully.
A person who has earned a Master’s degree of at least 240 ECTS credits of which at least 60 ECTS credits are earned for studies at master’s level, or who in some other way in the country or abroad has acquired largely equivalent knowledge, has general eligibility for admission.
A person with 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 technology has special eligibility for admission to doctoral studies in computer science. A person who in some other way in the country or abroad has acquired equivalent qualifications also has special eligibility.
For admission to doctoral studies an applicant must be judged to have the ability required to pursue the programme successfully (Higher Education Ordinance, Ch. 7, sect. 35). Admission is based on individual assessment of the candidates’ abilities to successfully pass the research education.
In order to succeed as an doctoral student at Karlstad University the candidate need to be goal oriented and persevering in their work. In the selection of the applicants, the following will be assessed:
- ability to independently pursue their work,
- ability to collaborate with others,
- have a professional approach, and
- analyse and work with complex issues.
After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.
Upon admission to doctoral studies, a studentship position will be offered (Higher Education Ordinance, Ch. 5, sect.3). The position is a full-time, fixed-term employment (one year that can be extended by two years at the most at a time) with starting-date by agreement.
Karlstad University places great value on the enriching presence of diverse backgrounds and gender balance in the organisation. We welcome applicants with different cultural backgrounds, gender identities, functional abilities and life experiences.
Your application should include well documented qualifications. Applicants are responsible for submitting a complete application in accordance with the advertisement before deadline and for ensuring that the documentation allows for objective and qualitative assessments. An incomplete application may jeopardise a fair assessment of qualifications.
Applications should include
Submit your application via the University’s web based recruitment tool and attach all the documents and publications you wish to be considered to the electronic application (do not provide links to them). A complete application should be submitted no later than the application deadline.
Documents that cannot be sent electronically such as books and other publications should be sent to:
Karlstads universitet
Registrator
651 88 Karlstad
State the ref.no REK2020/170
Last day of application: 31 August 2020
We look forward to your application!
Karlstad University has chosen advertising channels for this recruitment and declines any contacts from advertising or recruitment agencies.
Type of employment | Temporary position |
---|---|
Contract type | Full time |
First day of employment | By agreement |
Salary | Monthly according to the local doctoral agreement |
Number of positions | 1 |
Full-time equivalent | 100 % |
City | Karlstad |
County | Värmlands län |
Country | Sweden |
Reference number | REK2020/170 |
Contact |
|
Union representative |
|
Published | 13.Jul.2020 |
Last application date | 31.Aug.2020 11:59 PM CEST |