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PhD Research Fellow in “TransAIRail”
Universitetet i Sørøst-Norge
Raveien 215, 3184 HORTEN
15. juni 2025
UI
PhD Research Fellow in “TransAIRail”
Universitetet i Sørøst-Norge
BORRE
15. juni 2025
kr 265 - 265
Per time
kr 45 900 - 45 900
Per måned
kr 550 800 - 550 800
Per år
Oppsummert av KI
Rapporter feilOm stillingen
The Faculty of Technology, Natural Sciences and Maritime Sciences (TNM) has a vacancy for a 100 % position as PhD Research Fellow in Transformative AI for Railway Systems (TransAIRail) from October 18, 2025.
The position is located at the Department of Electrical Engineering, Information Technology, and Cybernetics and reports to the Head of Department. The position will be part of the research group, “Electrical Power Systems” (EPS). The location of employment is Porsgrunn.
The employment period will be three years full time, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting of 75 % PhD Research Fellow and 25 % teaching duties.
“Transformative AI for Railway Systems” (TransAIRail) project combines Power Engineering and Artificial Intelligence (AI) for developing more reliable systems for Railway Transportation and contributes to Green Transportation. The goal is to identify early signs of wear or faults of the railway power system to improve maintenance planning and make such systems more reliable. BaneNOR are responsible for the Norwegian rail infrastructure and oversees operations, maintenance and construction of railways throughout the country. This includes 4200 kilometres of tracks, 335 stations and stops and more than 4300 properties.
BaneNOR wants to reduce maintenance costs and increase reliability of their converter stations. Voltage is being transformed from 22 to 132 kV feeding voltage transformed to 16 kV, and frequency is transformed from 50 to 16 2/3 Hertz. Bane NOR collects real time data from their converters, with a high granularity. As per today BaneNOR has a scheduled maintenance program. To reduce costs, they want to introduce non-invasive predictive analysis.
Predictive maintenance and condition monitoring is a hot topic in electric power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods to predict the probability of fault occurring. Most companies have this as a priority task, to meet the targets formulated in UN’s Sustainable Development Goals.
This project supports USN’s strategic research areas within Energy, Climate and Environment and Regional Growth, and integrates the researchers from the Electrical Power Systems (EPS) research group (RG) and Applied Modeling and Control (AMOC) RG. Power Engineering and AI are important competence areas for USN. The project's subject area is within the master's programs EPE (Electrical Power Engineering) and ITA (IT and Automation), and partly within Computer Science.
The proposed project aims to evaluate solutions that can support the future operation of the railway system. In particular, the student may focus on the following research goals:
The project aims to strengthen the overall digital competence at USN in collaboration with BaneNOR.
Eligibility Requirements:
Ideal Candidate:
For admission to the Phd Program the weighted average grade is B or higher is usually required. The applicant must have gained the degree within the start date of the position, so applicants in the last semester of their master’s degree are also encouraged to apply. The candidate must meet the requirements for admission to the faculty's Doctoral Program in Technology
The candidate must have the ability to work independently and at the same time have the motivation to share knowledge and take part in teamwork. Co-operation between staff members is an integrated part of the working atmosphere at the University of South-Eastern Norway. The candidate must be motivated and demonstrate a proven ability to work effectively within a team and in a collegiate manner to formulate and realize common objectives. Personal suitability for the post will be emphasized.
Documentation of skills in English language:
Strong communication skills in English language skills are required for participation in the doctoral program. International applicants must document this with a valid certificate from one of the following tests:
The following applicants are exempt from the above requirements:
The candidate may have to apply for a Norwegian security[BW1] clearance during the project period.
PhD Research Fellow (code 1017): NOK 550 800,- a year. Further promotion will be based on time served in the position.
A statutory contribution to the state pension plan will be deducted from the employee’s salary.
The Academic Appointments Board for PhD Research Fellowships is responsible for the appointment. An expert assessment of applicants will be carried out. The candidates deemed best qualified will be invited to an interview.
The person appointed must comply with the laws, regulations and agreements that apply at any given time to the post. Please note that approved work permit is a prerequisite for the employment.
According to its human resources policy, the University of South-Eastern Norway targets a balanced gender composition and aims to recruit persons with a background as an immigrant.
The Department has few women appointed in scientific positions, and women are therefore particularly encouraged to apply.
The University contributes to the Inkluderingsdugnaden (a voluntary scheme to promote inclusion), and it is our aim that our employees, to the fullest extent possible, shall reflect the diversity of the general population. We therefore encourage qualified applicants with disabilities to apply for the post. The University will facilitate the workplace for employees with disabilities.
Pursuant to section 25, 2nd paragraph of the Freedom of Information Act, information on the applicant may be disclosed even if the applicant has requested not be included on the list of applicants. Applicants will be notified if such requests are not allowed.
For more information about the position, please contact:
Main supervisor Assoc. Prof. Nils Jakob Johannesen (nils.j.johannesen@usn.no) +47 35 57 51 55 at the Faculty of Technology, Natural Sciences and Maritime Sciences, Department of Electrical Engineering, Information Technology and Cybernetics.
For questions regarding the recruitment process, please contact:
HR Advisor: Ruth Helen Haugerud, ruth.haugerud@usn.no (+47 35 95 26 17)
The University of South-Eastern Norway makes use of online application management. Applicants to the post must register their application and CV with enclosures online via the Jobbnorge recruitment portal by clicking on the link on the right-hand side – “Søk stillingen” (Apply for the post).
The following documents shall be attached to the online application:
Please note that all documents must be in a Scandinavian language or in English. Any translations must be certified.
If your higher education is from a university outside of Norway, we require it to be recognized by the Norwegian Directorate of Higher Education and Skills. You must apply for the recognition before the application deadline for this position expires. Add a receipt on your application or recognition when applying. The recognition must be sent to us and is a requirement for being hired.
The research area for the position may include technologies referred to in the Ministry's export control regulations. Relevant license or security clearances may therefore be required.
The application will be assessed on the basis of the attached documentation as requested above. Each applicant is responsible for ensuring that the required documentation has been uploaded with the application deadline.
The University has been awarded a Charter & Code certificate by the European Commission, and is entitled to use the HR Excellence in Research (HRS4R) logo. The University is also a member of the EURAXESS network, which contributes to good working conditions for mobile researchers.
The University of Southeastern Norway (USN) ranks as the country's fourth largest higher education institution. We are a vibrant community of approximately 18,000 students and 1,900 employees.
. Video: https://vimeo.com/898549899/60305e2540Om bedriften
USN er universitet nær deg. Her jobber vi sammen for å finne løsninger. For lokalsamfunnet, verden og alle oss som bor her. På våre campuser fra fjord til fjell vil du jobbe i nærheten av hjemstedet ditt på sørøst-landet. Her gjør du en meningsfull jobb blant yrende studentliv og innovative forskningsmiljøer. Du får en arbeidsplass som er tett på de store samfunnsutfordringene – og samtidig nær løsningene på dem. Et arbeid vi gyver løs på med våre aller beste virkemidler: utdanning og forskning.
Vi tilbyr profesjonsorienterte og arbeidslivsrettede utdanninger, forskning og kunnskapsformidling med høy internasjonal kvalitet. Som ansatt får fordype deg i ditt eget felt, samtidig som du har tilgang til en buffet av muligheter for utvikling og læring.
Tittel
PhD Research Fellow in “TransAIRail”
Oppstart
Type engasjement
Vikariat
Sektor
Offentlig
Omfang
Heltid
Antall stillinger
1
Del annonsen
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Om stillingen
The Faculty of Technology, Natural Sciences and Maritime Sciences (TNM) has a vacancy for a 100 % position as PhD Research Fellow in Transformative AI for Railway Systems (TransAIRail) from October 18, 2025.
The position is located at the Department of Electrical Engineering, Information Technology, and Cybernetics and reports to the Head of Department. The position will be part of the research group, “Electrical Power Systems” (EPS). The location of employment is Porsgrunn.
The employment period will be three years full time, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting of 75 % PhD Research Fellow and 25 % teaching duties.
“Transformative AI for Railway Systems” (TransAIRail) project combines Power Engineering and Artificial Intelligence (AI) for developing more reliable systems for Railway Transportation and contributes to Green Transportation. The goal is to identify early signs of wear or faults of the railway power system to improve maintenance planning and make such systems more reliable. BaneNOR are responsible for the Norwegian rail infrastructure and oversees operations, maintenance and construction of railways throughout the country. This includes 4200 kilometres of tracks, 335 stations and stops and more than 4300 properties.
BaneNOR wants to reduce maintenance costs and increase reliability of their converter stations. Voltage is being transformed from 22 to 132 kV feeding voltage transformed to 16 kV, and frequency is transformed from 50 to 16 2/3 Hertz. Bane NOR collects real time data from their converters, with a high granularity. As per today BaneNOR has a scheduled maintenance program. To reduce costs, they want to introduce non-invasive predictive analysis.
Predictive maintenance and condition monitoring is a hot topic in electric power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods to predict the probability of fault occurring. Most companies have this as a priority task, to meet the targets formulated in UN’s Sustainable Development Goals.
This project supports USN’s strategic research areas within Energy, Climate and Environment and Regional Growth, and integrates the researchers from the Electrical Power Systems (EPS) research group (RG) and Applied Modeling and Control (AMOC) RG. Power Engineering and AI are important competence areas for USN. The project's subject area is within the master's programs EPE (Electrical Power Engineering) and ITA (IT and Automation), and partly within Computer Science.
The proposed project aims to evaluate solutions that can support the future operation of the railway system. In particular, the student may focus on the following research goals:
The project aims to strengthen the overall digital competence at USN in collaboration with BaneNOR.
Eligibility Requirements:
Ideal Candidate:
For admission to the Phd Program the weighted average grade is B or higher is usually required. The applicant must have gained the degree within the start date of the position, so applicants in the last semester of their master’s degree are also encouraged to apply. The candidate must meet the requirements for admission to the faculty's Doctoral Program in Technology
The candidate must have the ability to work independently and at the same time have the motivation to share knowledge and take part in teamwork. Co-operation between staff members is an integrated part of the working atmosphere at the University of South-Eastern Norway. The candidate must be motivated and demonstrate a proven ability to work effectively within a team and in a collegiate manner to formulate and realize common objectives. Personal suitability for the post will be emphasized.
Documentation of skills in English language:
Strong communication skills in English language skills are required for participation in the doctoral program. International applicants must document this with a valid certificate from one of the following tests:
The following applicants are exempt from the above requirements:
The candidate may have to apply for a Norwegian security[BW1] clearance during the project period.
PhD Research Fellow (code 1017): NOK 550 800,- a year. Further promotion will be based on time served in the position.
A statutory contribution to the state pension plan will be deducted from the employee’s salary.
The Academic Appointments Board for PhD Research Fellowships is responsible for the appointment. An expert assessment of applicants will be carried out. The candidates deemed best qualified will be invited to an interview.
The person appointed must comply with the laws, regulations and agreements that apply at any given time to the post. Please note that approved work permit is a prerequisite for the employment.
According to its human resources policy, the University of South-Eastern Norway targets a balanced gender composition and aims to recruit persons with a background as an immigrant.
The Department has few women appointed in scientific positions, and women are therefore particularly encouraged to apply.
The University contributes to the Inkluderingsdugnaden (a voluntary scheme to promote inclusion), and it is our aim that our employees, to the fullest extent possible, shall reflect the diversity of the general population. We therefore encourage qualified applicants with disabilities to apply for the post. The University will facilitate the workplace for employees with disabilities.
Pursuant to section 25, 2nd paragraph of the Freedom of Information Act, information on the applicant may be disclosed even if the applicant has requested not be included on the list of applicants. Applicants will be notified if such requests are not allowed.
For more information about the position, please contact:
Main supervisor Assoc. Prof. Nils Jakob Johannesen (nils.j.johannesen@usn.no) +47 35 57 51 55 at the Faculty of Technology, Natural Sciences and Maritime Sciences, Department of Electrical Engineering, Information Technology and Cybernetics.
For questions regarding the recruitment process, please contact:
HR Advisor: Ruth Helen Haugerud, ruth.haugerud@usn.no (+47 35 95 26 17)
The University of South-Eastern Norway makes use of online application management. Applicants to the post must register their application and CV with enclosures online via the Jobbnorge recruitment portal by clicking on the link on the right-hand side – “Søk stillingen” (Apply for the post).
The following documents shall be attached to the online application:
Please note that all documents must be in a Scandinavian language or in English. Any translations must be certified.
If your higher education is from a university outside of Norway, we require it to be recognized by the Norwegian Directorate of Higher Education and Skills. You must apply for the recognition before the application deadline for this position expires. Add a receipt on your application or recognition when applying. The recognition must be sent to us and is a requirement for being hired.
The research area for the position may include technologies referred to in the Ministry's export control regulations. Relevant license or security clearances may therefore be required.
The application will be assessed on the basis of the attached documentation as requested above. Each applicant is responsible for ensuring that the required documentation has been uploaded with the application deadline.
The University has been awarded a Charter & Code certificate by the European Commission, and is entitled to use the HR Excellence in Research (HRS4R) logo. The University is also a member of the EURAXESS network, which contributes to good working conditions for mobile researchers.
The University of Southeastern Norway (USN) ranks as the country's fourth largest higher education institution. We are a vibrant community of approximately 18,000 students and 1,900 employees.
. Video: https://vimeo.com/898549899/60305e2540kr 265 - 265
Per time
kr 45 900 - 45 900
Per måned
kr 550 800 - 550 800
Per år
Oppsummert av KI
Tittel
PhD Research Fellow in “TransAIRail”
Oppstart
Type engasjement
Vikariat
Sektor
Offentlig
Omfang
Relaterte stillinger
Om bedriften
USN er universitet nær deg. Her jobber vi sammen for å finne løsninger. For lokalsamfunnet, verden og alle oss som bor her. På våre campuser fra fjord til fjell vil du jobbe i nærheten av hjemstedet ditt på sørøst-landet. Her gjør du en meningsfull jobb blant yrende studentliv og innovative forskningsmiljøer. Du får en arbeidsplass som er tett på de store samfunnsutfordringene – og samtidig nær løsningene på dem. Et arbeid vi gyver løs på med våre aller beste virkemidler: utdanning og forskning.
Vi tilbyr profesjonsorienterte og arbeidslivsrettede utdanninger, forskning og kunnskapsformidling med høy internasjonal kvalitet. Som ansatt får fordype deg i ditt eget felt, samtidig som du har tilgang til en buffet av muligheter for utvikling og læring.
Heltid
Antall stillinger
1
Del annonsen