PERSEUS - PhD Candidate in Machine Learning and Signal Processing.

Updated: over 1 year ago
Deadline: 01 Sep 2022

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About the position

At the Department of Electronic Systems  (IES) we have vacancy for a PhD candidate in machine learning and signal processing.

The position is associated with the Centre for Geophysical Forecasting (CGF) at NTNU, which is one of the Norwegian centres for research-driven innovation, funded by the research council of Norway and industry partners. The goal of the CGF is to become a world-leading research and innovation hub for the geophysical sciences, creating innovative new products and services in earth sensing and forecasting domains. As the global ecosystem enters a period of dramatic change, there is a strong need for accurate monitoring and forecasting of the Earth. Machine learning and signal processing play important roles here. 

The PhD project will focus on applying state-of-the-art machine learning and signal processing techniques for the effective analysis of massive-size geophysical data. The models should be able to produce predictions and enable early warning systems in various geosciences applications. Special focus will be devoted on the interpretability of the model predictions.

This PhD project is further part of the PERSEUS doctoral programme : A collaboration between NTNU- Norway’s largest university, 11 top-level academic partners in 8 European countries, and 8 industrial partners within sectors of high societal relevance. PERSEUS will recruit 40 PhD candidates who want to contribute to a smart, safe and sustainable future. We are looking for highly skilled PhD candidates motivated to approach societal challenges within one of the following thematic areas:

  • Big data and AI 
  • Digital Twins 
  • Internet of Things 
  • Extended Reality 
  • Information and Cyber Security

The current PhD, with its focus on machine learning and signal processing, goes particularly well with the first area in this list.


All participants in the PERSEUS network bring unique and important qualities with them into the doctoral programme. The PERSEUS PhD candidates will have the opportunity to collaborate with researchers in the partner institutions and in other project consortia, and benefit from these collaborative research and education activities.
You will work alongside other highly motivated and talented PhD candidates and researchers. You will also have access to the knowledge base, state-of-the-art research infrastructure, and impact orientation of the partners in the team.

In addition to your education and development within the thematic research area, you will gain transferable skills within project development and management, science communication, research ethics, innovation and entrepreneurial thinking, as well as basic university didactics.

You will be employed by NTNU. During your stay, you will do a 2–3 month international stay and a 1-2 month national stay with one of the PERSEUS partners. This will most fruitfully be achieved by having a strong contact with partners in CGF. This will allow you to extend your network within academia and industry, and to learn about your research area from an academic, innovation, and societal perspective.

The duration of the PhD employment is 36 months.

Starting gross salary is 501.200 NOK/year (equal to approx. 49.312 EUR/year by the exchange rate of July 2022).

We are looking for PhD candidates from all nationalities, who want to contribute to our quest to create knowledge for a better world. PERSEUS recruits candidates according to the EU’s mobility rule, i.e. applicants cannot have spent more than 12 months in Norway during the last 3 years, be within the first four years of their research careers and not yet be awarded a doctoral degree.

We believe in fair and open processes. All applications will be considered through a transparent evaluation procedure, with independent observers involved.

The position's working place is NTNU campus in Trondheim. You will report to Department Head.

We look forward to welcoming you to the CGF and the PERSEUS teams.
 



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