PhD Research Fellow in Machine-learning/signal Processing for Industry 4.0

Trondheim, Norway
Monday, 17 August 2020
End of advertisement period
Saturday, 10 October 2020
Contract Type
Full Time

About the position

The Department of Electronic Systems has a vacancy for 2 PhD Research Fellows 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).

The position reports to the Head of the Department of Electronic Systems. The work place will be Trondheim.

Duties of the position

The positions are linked to the project SIGNIFY which is funded by the Research Council of Norway. Big data, Internet of Things (IoT) and artificial intelligence (AI) represent key enablers of the digital transformation and the development of digital twins. The main objective 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 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.

Required selection criteria

The PhD-position's main objective is to qualify for work in research. The qualification requirement is 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.

We seek 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.

The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.

Personal characteristics

The successful candidates should be

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

We offer

Salary and conditions

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.

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 programme in Electronics and Telecommunication  within three months of employment, and that you participate in an organized PhD programme 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 the application

The application and supporting documentation to be used as the basis for the assessment must be in English.

Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above. 

The application must include:

  • Application letter describing your motivation, relevant experience, skills and qualifications;
  • CV including information about education background and work experience;
  • Certified copies of relevant transcripts and diplomas (candidates from universities outside Norway are kindly requested to send a Diploma Supplement or similar documentation, which describes in detail the program of study, the grading system, and the rights to further studies associated with the degree obtained);
  • Brief research vision for the position (maximum 2 pages);
  • Contact information for two references;
  • Documentation of fluency in the English language.

Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability.

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.

General information

Working at NTNU

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. 

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.

As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.

Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.

If you have any questions about the position, please contact Professor Pierluigi Salvo Rossi (email:

Please submit your application electronically via with your CV, diplomas and certificates. Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).

If you are invited for interview you must include certified copies of transcripts and reference letters. Please refer to the application number 2020/23734 when applying.

Application deadline: 10.10.2020

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Electronic Systems

The digitalization of Norway is impossible without electronic systems. We are Norway’s leading academic environment in this field, and contribute with our expertise in areas ranging from nanoelectronics, phototonics, signal processing, radio technology and acoustics to satellite technology and autonomous systems. Knowledge of electronic systems is also vital for addressing important challenges in transport, energy, the environment, and health. The Department of Electronic Systems is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

Deadline 10th October 2020
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Temporary
Place of service Campus Gløshaugen

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