PhD Candidate in Reinforcement Learning to Improve Maintenance Strategies
About the position
We have a vacancy for a PhD Candidate at Department of Mechanical and Industrial Engineering.
Operations of complex technical systems such as railways networks, offshore oil and gas platforms, or autonomous cyber physical systems are subject to uncertainties, making the system drifting from its regular operations. Maintenance interventions may prevent incidents and accidents, yet also with costs, induced down times, and must therefore be optimized. It would be possible to perform “on demand” maintenance, via health monitoring of components, devices, or subsystems. The PhD position consists in studying concepts, methods, and tools to assess the performance of maintenance policies in view of optimizing them.
More specifically, the objective is to explore what can be done by: (1) Designing stochastic models to represent the dynamics of systems and maintenance policies.
(2) Performing Monte-Carlo simulations on these models to assess the values of key indicators characterizing the performance of maintenance policies. (3) Using advanced reinforcement learning and other AI techniques to improve the latter.
The PhD candidate is expected to design and apply the innovative reinforcement learning and other AI techniques to a new application area, namely maintenance optimization and more specifically the optimization of maintenance policies represented by stochastic models and assessed by means of discrete event simulations.
You will report to Professors.
Duties of the position
- take part in the mandatory PhD research education program
- conduct independent research and publish the result in recognised scientific journals
- participate actively in the series of PhD seminars
Required selection criteria
- you must have a professionally relevant background in Reliability, Availability, Maintainability and Safety or in Project Management or in Computer Science/Data Science or in Applied Mathematics
- your education must correspond to a five-year Norwegian degree programme, where 120 credits are obtained at master's level
- you must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
- you must meet the requirements for admission to the faculty's doctoral program
- you are familiar with mathematival models used in reliability engineering and performance optimization (stochastic processes, state autmata etc.)
- you are familiar with Python programming
- you have knowledge about machine learning, and a strong willingness to learn more
- you have good written and oral English skills.
The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant
Preferred selection criteria
- experience and knowledge of project management
- strong competence in mathematical and probabilistic modelling
- dedicated to the work
- creative – creating new ideas and new technologies/methods
- critical – asking the right questions
- respectful – care about your colleagues.
- exciting and stimulating tasks in a strong international academic environment
- an open and inclusive work environment with dedicated colleagues
- favourable terms in the Norwegian Public Service Pension Fund
- employee benefits
Salary and conditions
As a PhD candidate (code 1017) you are normally paid from gross NOK 491 200 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.
Appointment to a PhD position requires that you are admitted to the PhD programme in Engineering 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.
It is a prerequisite you can be present at and accessible to the institution daily.
About the application
The application and supporting documentation to be used as the basis for the assessment must be in English or Norwegian
Publications and other scientific work must follow the application. Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.
The application must include:
- CV and certificates
- transcripts and diplomas for bachelor's and master's degrees. If you have not completed the master's degree, you must submit a confirmation that the master's thesis has been submitted.
- A copy of the master's thesis. If you recently have submitted your master's thesis, you can attach a draft of the thesis. Documentation of a completed master's degree must be presented before taking up the position.
- Research plan
- Name and contact information of three referees
- If you have publications or other relevant research work
If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor's and master's education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.
We will take joint work into account. If it is difficult to identify your efforts in the joint work, you must enclose a short description of your participation.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates.
NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.
NTNU believes that inclusion and diversity is our strength. We want to recruit people with different competencies, educational backgrounds, life experiences and perspectives to contribute to solving our social responsibilities within education and research. We will facilitate for our employees’ needs.
NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to promote equality.
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.
A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the reservation is not accepted.
If you have any questions about the position, please contact Professor Shen Yin, telephone +47 465 03 034, email: firstname.lastname@example.org, Professor Nils Olsson, telephone: +47 735 97 127, email: email@example.com or Professor Antoine Rauzy, telephone: +47 918 97 151, email: firstname.lastname@example.org. If you have any questions about the recruitment process, please contact HR consultant Linn-Cecilie Felle, e-mail: email@example.com
If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.
Application deadline: 18.09.2022
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 Mechanical and Industrial Engineering
We educate graduates who can create new products, operate and maintain products, and manage projects. The Department has a variety of bachelor’s and master’s degree programmes. We conduct wide-ranging research in fields such as technology, energy, product quality and development, and productivity. The Department of Mechanical and Industrial Engineering is one of eight departments in the Faculty of Engineering.
Deadline 17th September 2022
Employer NTNU - Norwegian University of Science and Technology
Place of service Institutt for maskinteknikk og produksjon