Two PhD Research Fellows in Machine Learning & Signal Processing for Industry 4.0 (# of pos: 2)

Updated: about 1 month ago
Job Type: FullTime
Deadline: 24 Apr 2021

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You will find more information about working at NTNU and the application process here.


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

One position is linked to the project SIGNIFY and one position is linked to the project DIGITAL TWIN. Both projects are funded by the Research Council of Norway and are in collaboration with SINTEF Energy. 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 objectives of the projects include the development and the integration of signal processing and machine learning methodologies aiming at sensor validation for digital twins of safety-critical systems.  Use cases for the project SIGNIFY are related to Carbon Capture and Storage, while use cases for the project DIGITAL TWIN are related to Offshore Oil & Gas. 

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 – Anomaly Detection in Compact Offshore Steam Cycles 

The activities related to this position include time-series modeling and monitoring based on graph signal processing and graph neural 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 (candidates expected to graduate in Summer 2021 are encouraged to apply); 
  • 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 482 200 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 transcripts and diplomas for both BSc and MSc degrees (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: pierluigi.salvorossi@ntnu.no ).

Please submit your application electronically via jobbnorge.no 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 2021/16459 when applying. 

Application deadline: 24.04.2021


NTNU - knowledge for a better world

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 .


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