PhD Research Fellowship in Machine-learning/Signal Processing for Industry 4.0 in Norway 2021

PhD Research Fellowship in Machine-learning/Signal Processing for Industry 4.0 in Norway 2021

Norvège 10 oct. 2020
Norwegian University of Science and Technology (NTNU)

Norwegian University of Science and Technology (NTNU)

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Organisation à but non lucratif
Pays hôte
Date limite
10 oct. 2020
Niveau d'études
Type d'opportunité
Financement d'opportunité
Financement complet
Pays éligibles
Région éligible
Toutes les régions

The Department of Electronic Systems at NTNU offers 2 PhD research fellowships in machine-learning/signal-processing for Industry 4.0. The successful candidate will be offered a 3-year position (or 4-year with 25% work assignments for the Department). 

Duties of the Position:

The positions are linked to the project SIGNIFY which is funded by the Research Council of Norway. Big data, the Internet of Things (IoT), and artificial intelligence (AI) represent key enablers of the digital transformation and the development of digital twins. The main objective of the SIGNIFY is the development and the integration of signal processing and machine learning methodologies into novel hybrid-analytics solutions aiming at sensor validation for digital twins of safety-critical systems. Building upon ground-breaking concepts from graph signal processing, deep learning, and transfer learning, SIGNIFY focuses on designing tailored strategies from a Bayesian perspective and testing them on two use cases related to Carbon Capture and Storage (CCS) in collaboration with SINTEF Energy.

The research plans of the two positions focus on safety issues and lie within the general area of anomaly detection. The PhD candidates will have the opportunity to be affiliated with the IoT@NTNU and with the Norwegian Open AI lab, and to collaborate with research scientists from international partner institutions.

PhD Position N.1 – Model-Based Sensor Validation

The activities related to this position include exploring and defining advanced solutions by integrating domain knowledge related to the considered use cases with linear/nonlinear estimation/detection and data fusion techniques according to a Bayesian framework. A peculiar aspect is represented by considering dynamic risk analysis into the algorithm design to be used with real-time data availability.

PhD Position N.2 – Data-Driven Sensor Validation

The activities related to this position include time-series modeling and monitoring based on shallow and/or deep networks with a focus on soft decisions and related confidence in order to be compatible with a Bayesian framework. A peculiar aspect is represented by considering dynamic risk analysis into the algorithm design to be used with real-time data availability.

Selection Criteria:

This PhD-position's main objective is to qualify for work in research. The qualification requirement is a competition of a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in Machine Learning and or Signal Processing (or equivalent education) with a grade of B or better in terms of NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you are unable to meet these criteria you may be considered only if you can document that you are particularly suitable for education leading to a PhD degree.

NTNU seeks two highly-motivated individuals having:

  • Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or other relevant disciplines;
  • Strong mathematical background and research-oriented master thesis in a related field (e.g., signal processing, statistical machine learning, applied mathematics);
  • Significant experience with programming (preferably Matlab and/or Python).

Publication activity in the aforementioned disciplines will be considered an advantage but is not a requirement.

Applicants must be qualified for admission to a PhD study program at NTNU.

Applicants who do not master a Scandinavian language should provide evidence of good written and spoken English language skills. The following tests can be used as documentation: TOEFL, IELTS, Cambridge Certificate in Advanced English (CAE), or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:

  • TOEFL: 600 (paper-based test), 92 (Internet-based test);
  • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted);
  • CAE/CPE: grade B or A.

Personal Characteristics:

The successful candidates should be:

  • Creative and innovative.
  • Independent and self-motivated.
  • Excellent with verbal and written communication in English.


  • exciting and stimulating tasks in a strong international academic environment.
  • an open and inclusive work environment with dedicated colleagues.
  • favorable terms in the Norwegian Public Service Pension Fund.
  • employee benefits.
  • Salary: PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 479 600 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

Terms and Conditions:

  • The period of employment is 3 years (or 4 with academic duties).
  • Appointment to a PhD position requires that you are admitted to the PhD program in Electronics and Telecommunication within three months of employment and that you participate in an organized PhD program during the employment period.
  • The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services, and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment, you must assume that there may be changes in the area of work.
  • The positions are subject to external funding from the Research Council of Norway.
  • It is a prerequisite you can be present at and accessible to the institution on a daily basis.

About NTNU:

The Norwegian University of Science and Technology (NTNU) is a public research university in Norway with the main campus in Trondheim and smaller campuses in Gjøvik and Ålesund. The largest university in Norway, NTNU has over 8,000 employees and over 40,000 students. NTNU in its current form was established by the King-in-Council in 1996 by the merger of the former University of Trondheim and other university-level institutions, with roots dating back to 1760, and has later also incorporated some former university colleges. NTNU is consistently ranked in the top one percent among the world's universities, usually in the 101–500 range depending on ranking.

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