PhD student in Electronics - Embedded Deep Neural Networks - Hiring in process/Finished, not possible to apply

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.

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: The postgraduate employment offered is intended to be equivalent to two years’ fulltime research studies and aims to lead to a Licentiate degree. The appointment may be extended to the doctoral degree level if additional funding is obtained. The starting date will be determined after selection.

Place of work: The work will be done mainly at Mid Sweden University (Sundsvall), but an exchange with TU Wien, Vienna, Austria, is also possible.

Salary: Paid by Mid Sweden University according to the regulation salary for PhD students.

Information: Further information is available from Claes Mattson, claes.mattson@miun.se, phone +46 (0)60 14 84 98, cellular +46 (0)70 28 35 685 and Professor Mattias O’Nils mattias.onils@miun.se. More information can also be found on STC’s homepage www.miun.se/stc.

Application: 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 3th January 2020 at the latest.