Double degree PhD student in AI based imaging measurement systems - Hiring in process/Finished, not possible to apply

The research center STC (Sensible Things that Communicate, www.miun.se/stc) is looking for a PhD student in AI based imaging measurement systems. The research will be carried out together with industrial partners in a larger project that integrates technology challenges in sensor technology for industrial and medical applications.

Position description

Independent third-cycle studies encompassing research. We offer a PhD student position in AI based imaging measurement systems focused on studying how AI methods can be integrated with measurement systems so that enough information can be generated to enable automation of performance obstacles in a both remote and direct control of timber loaders. The position is related to collaborating research groups with activities in machine learning, sound analysis and image analysis as well as artificial intelligence. The research is carried out in close collaboration with Skogforsk (https://www.skogforsk.se/english/).

The work will include evaluation of sensor systems (camera, LIDAR and other), machine learning methods and uncertainty analysis of the integrated solution. Additionally, the PhD student will configure the methods to a more general problem. Work can be experimental and theoretical in nature and include data collection, development and verification of models, and generalization of solutions.

The doctoral position leads to double degrees, where you receive a degree from both Mid Sweden University and University of Salerno. The first two years are carried out at University of Salerno, and the final two years are in Mid Sweden University (Sundsvall).

Entry requirements

General entry requirements include a second-cycle level qualification, or fulfilment of courses comprising at least 240 credits of which at least 60 credits must be at second-cycle level, or the equivalent knowledge gained in some other way in Sweden or abroad. Specific entry requirements include at least 90 credits in the subject of electrical engineering, computer engineering or subjects closely related to these, or the equivalent knowledge gained in some other way in Sweden or abroad.

Selection criteria

In addition to the formal eligibility requirements, the selection will also be based on the relevance of prior knowledge for working with imaging, image processing, autonomous vehicles, uncertainty estimation and machine learning, relevance in thesis work, project work, courses and interviews with the applicants. Personal qualities such as cooperativeness, initiative and suitability for doctoral studies will be weighed against the formal subject knowledge. A brief description of the applicant's visions and goals must 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 doctoral studentship position corresponds to four years of full-time studies and is expected to lead to a Degree of Doctor. Entry date according to agreement.

Initial doctoral student positions are valid for a maximum of one year, after which the position may be renewed by no longer than two years at a time. Provisions regarding doctoral studentship employment can be found in the Higher Education Ordinance (1993:100), Chapter 5, Sections 1-7.

Place of employment: The placement for the position is in Fisciano at University of Salerno for the first 2 years, and at Mid Sweden University in Sundsvall for the following 2 years. You will be employed by Mid Sweden University during the entire four years. However, during the first year you will be on leave from Mid Sweden University and work under conditions given at the University of Salerno.

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 Associate Professor Jan Lundgren jan.lundgren@miun.se or Ass. Prof. Marco Carratú (mcarratu@unisa.it). 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, higher education transcripts and a statement of your research interests.

Applications should be submitted through our recruitment system by November 27, 2023 at the latest.