PhD Student in Multimodal Sensor Monitoring with Machine Learning

About the role 
We offer a PhD position in measurement technology focused on condition monitoring using multimodal sensor systems for anomaly detection and classification with machine learning.

The research for the service is carried out in close collaboration with national and international partners.

The focus of the position is in the area of anomaly detection and classification with machine learning.  The service may also include implementation aspects of machine learning models on edge devices. Work can be experimental and theoretical in nature and includes data collection, development and verification of models, and generalization of solutions.

Basic eligibility is for those who have completed an advanced level degree or completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level or have acquired essentially equivalent knowledge in some other way within or outside the country. Those who have at least 90 higher education credits in electrical engineering, computer engineering subjects closely related to these, or who have acquired substantially equivalent knowledge in any other way within or outside the country, have special eligibility.

Who are you?
In addition to the formal eligibility requirements, the selection will also be based on the relevance of prior knowledge for working with sensor technology and machine learning, relevance in thesis work, project work, courses and interviews with the applicants. Signal processing, use multimodal sensor system and experience with various machine learning models are seen as an advantage.  Personal qualities such as cooperativeness, initiative and suitability for doctoral studies will be weighed against formal subject knowledge. A brief description of the applicant's visions and goals must be included in the application.

The doctoral position refers to a position that primarily corresponds to four years of full-time studies and is expected to lead to a doctoral degree. Access by agreement. Place of employment is Sundsvall.

Are we right for each other?
At RISE, we value diversity and believe that it contributes to an innovative environment where we challenge boundaries and develop new knowledge for the future. We bring together passionate problem solvers to tackle some of the world's most important and exciting challenges. We can't promise you an easy job, but what we can promise is a group of dedicated colleagues and some truly fascinating societal and industrial challenges to address. You will work in an innovative environment that provides opportunities for both professional and personal development. At RISE, you have the opportunity to make a real difference. Welcome to Sweden's national research institute and innovation partner.

Welcome with your application!
Welcome to contact recruiting manager Peter Söderman, +46 10 228 42 99 or Ulf Jennehag, +46 10 228 42 10. The application deadline is 2024-03-06. Interviews will take place continuously during the application period.

Our union representatives are Bertil Svensson, Unionen 010-516 53 56 and Ulf Nordberg, Swedish Engineers 010-516 69 59.