The University of Stavanger invites applicants for a Ph.D fellowship in Computational Engineering at the Faculty of Science and Technology, Department of Energy Resources. The position is vacant from fall 2021.
This is a trainee position that will give promising researchers an opportunity for academic development leading to a doctoral degree.
The appointment is for three years with research duties exclusively.
The research area is Reinforcement Learning for Sequential Decision Making in the Energy Sector.
Information about the project:
Many decision problems in the energy sector involve sequential decisions. The essential feature of sequential decision making is learning over time – additional information, that becomes available after the current decision has been made, will be used to update our uncertainty and support the next decision, and so on. In the machine learning world, reinforcement learning is the field concerned with sequential decision making.
The objective of this project is to develop and implement reinforcement learning methods, leveraging machine learning techniques, for better decision making and value creation in the energy sector. The study requires the framing of sequential decision making problems, the formulation of mathematical models of the problems (including the modeling of the learning over time), and the solving of the problems using reinforcement learning.
Some examples of relevant decision problems are:
We are looking for applicants with a strong academic background who have completed a five-year master degree (3+2) within one or more of the following: operational research, data science, industrial or applied mathematics, computational engineering, decision analysis, information technology, petroleum engineering, geoscience, or other engineering subjects, with solid skills and interests in mathematical and computational modeling, preferably acquired recently; or possess corresponding qualifications that could provide a basis for successfully completing a doctorate.
To be eligible for admission to the doctoral programmes at the University of Stavanger both the grade for your master’s thesis and the weighted average grade of your master’s degree must individually be equivalent to or better than a B grade. If you finish your education (masters degree) in the spring of 2021 you are also welcome to apply.
Applicants with an education from an institution with a different grade scale than A-F should attach a confirmed conversion scale that shows how the grades can be compared with the Norwegian A-F scale. You can use these conversion scales to calculate your points for admission.
Emphasis is also placed on your:
A good proficiency in English is required for anyone attending the PhD program. International applicants must document this by taking one of the following tests with the following results:
The following applicants are exempt from the above requirements:
University of Stavanger values independence, inclusion and innovation. Diversity is respected and considered a resource in our work and learning environment. Universal design characterises physical and digital learning environments, and employees with disabilities are facilitated for.
You are encouraged to apply regardless of gender, disability or cultural background.
The university aims to recruit more women within the subject area. If several applicants are considered to have equal qualifications, female applicants will be given priority.
More information on the position can be obtained from Associate Professor Aojie Hong, tel: +47 51831638, e-mail: email@example.com.
Information about the appointment procedure can be obtained from HR advisor Margot A.Treen, tel: +47 51831419, e-mail: firstname.lastname@example.org.
To apply for this position please follow the link "Apply for this job". Your application letter, relevant education and work experience as well as language skills must be registered here. In your application letter, you must state your research interests and motivation for the position.
The following documents must be uploaded as attachments to your application:
Applications are evaluated based on the information available in Jobbnorge at 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 documentation must be available in either a Scandinavian language or in English. If the total size of the attachments exceeds 30 MB, they must be compressed before upload.
Please note that information on applicants may be published even if the applicant has requested not to be included in the official list of applicants - see Section 25 of the Freedom of Information Act. If your request is not granted, you will be notified.
UiS only considers applications and attachments registered in Jobbnorge.
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 UiS.
Employment as PhD Fellow is regulated in "Regulations concerning terms and conditions of employment for the posts of post-doctoral research fellow and research fellow, research assistant and resident".
Your qualifications for the position, based on documentation registered in Jobbnorge, will be assessed by an internal expert committee. Based on the committee's statement, relevant applicants will be invited to an interview before any recommendations are made. References will also be obtained for relevant candidates. More about the hiring process on our website.
The appointee will be based at the University of Stavanger, with the exception of a stay abroad at a relevant centre of research.
It is a prerequisite that you have a residence which enables you to be present at/available to the academic community during ordinary working hours.
The position has been announced in both Norwegian and English. In the case of differences of meaning between the texts, the Englis text takes precedence.Continue reading
|Title||Ph.D fellowship in Computational Engineering|
|Employer||University of Stavanger|
|Job location||Kjell Arholmsgt. 41, 4036 Stavanger|
|Published||April 7, 2021|
|Application deadline||May 31, 2021|
|Job types||PhD  |
|Fields||Information Science,   Geotechnical Engineering,   Petroleum Engineering,   Computational Engineering,   Machine Learning  |