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At the department, education is conducted in the subjects of computer engineering, electronics, electrical engineering and sound production. The research at the department takes place at the research center Sensible Things that Communicate (www.miun.se/stc) and deals with sensor-based systems and services for use within the Internet of Things and artificial intelligence.
Position description
Deep neural network (DNN) algorithms are an extremely promising instrument in artificial intelligence, achieving very high performance in numerous recognition, identification, and classification tasks. However, it is still very challenging to implement DNN algorithms in resource-constrained embedded devices, which hinders their widespread adoption in the vast array of Internet of Things (IoT) applications and markets. The PhD student will study architectures for low energy, low latency implementation of DNN architectures for in-sensor and edge computing solutions.
The doctoral position leads to double degrees, where you receive a degree from both Mid Sweden University and TU Wien. The first two years are carried out at Mid Sweden University (Sundsvall), and the final two years are in Vienna at TU Wien.
For more information contact Prof. Mattias O’Nils (Mattias.Onils@miun.se)
Entry requirements
To meet the basic entry requirements for doctoral programmes, applicants must have a second-cycle degree or have completed at least 240 higher education credits, of which at least 60 credits must have been awarded in the second-cycle, or have equivalent qualifications. Specific eligibility requires at least 90 credits in electrical engineering, computer engineering or closely related subjects, or equivalent knowledge acquired in some other way in Sweden or abroad.
Selection criteria
Final selection will also be based on other work (such as thesis work) and courses, and on interviews with applicants. Prior experience in design and programming of embedded systems and configurable computational platforms will be an advantage. Personal qualities like teamwork skills, initiative, and suitability for PhD studies will be weighed together with formal subject knowledge. A brief description of your visions and goals should be included in the application.
Employment process
Processing of the appointment will comply with the provisions in Chapter 5 of the Higher Education Ordinance, and will be carried out in accordance with Mid Sweden University’s Employment Procedures.
Employment
The postgraduate employment offered is intended to be equivalent to four years’ fulltime research studies and aims to lead to a Doctoral degree. The starting date will be determined after selection.
Place of employment: The placement for the position is in Sundsvall at Mid Sweden University for the first 2 years, and at TU Wien in Vienna for the following 2 years. You are hired by Mid Sweden University.
Information
Further information is available from Patrik Österberg patrik.osterberg@miun.se, phone, +46 (0) 10 142 86 14, cellular, +46 (0) 70 540 86 14 and Professor Mattias O’Nils mattias.onils@miun.se. More information can also be found on STC’s homepage www.miun.se/stc.
Application
Application documents must be submitted in Swedish or English. The application must include your CV, transcripts from your prior degree programme(s), and a statement of your research interests.
Applications should be submitted through our recruitment system by 24th of September 2023 at the latest.
First day of employment | According to agreement |
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Salary | According to Mid Sweden University's salary scale for doctoral students |
Full-time equivalent | 100% |
City | Sundsvall |
County | Västernorrlands län |
Country | Sweden |
Reference number | MIUN 2023/1895 |
Union representative |
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Last application date | 24.Sep.2023 11:59 PM CEST |