The University of Stavanger invites applicants for a PhD Fellowship in Online/Offline Deep Learning Models. at the Faculty of Science and Technology, Department of Electrical Engineering and Computer Science. The position is vacant from 1st of June, 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, or four years with both research and 25% compulsory duties. This will be clarified in the recruitment process.
Deep learning models are extremely fast and, as a result, get a lot of attention to predict physics in real-time applications. At the same time these models often require long training and parameter optimization times and are also dependent on available datasets.
In many areas, including the drilling sector, conditions might vary significantly from one operation to the next.
At the same time there is limited time between and during the operation to change and/or retrain the models. In this research we want to explore a possibility to combine online and offline learning for deep learning and other machine learning models. The goal is to develop adaptive simulation models offline that can be adjusted based on available meta data and then tuned using the real-time data.
Possible research directions for the position are:
This position is associated with the center for research-based innovation DigiWells: Digital Well Center for Value Creation, Competitiveness and Minimum Environmental Footprint. The center is establishing a collaborative environment which will consist of researchers at NORCE, experts from industry, professors from UiS, NTNU and UiB and a total of 17 PhD students and postdocs. This is one of 5 initial PhD positions: https://digiwells.no/news/first-five-phd-positions.
We hope that the employed candidates will fit in and contribute to this multidisciplinary environment. Depending on the research interests the PhDs can also collaborate and visit the center’s international partners: Stanford University, TU Clausthal, University of the Basque Country, and UT Austin. Furthermore, the employed PhD candidates will have opportunity and responsibility to show-off their research to the industrial partners of the center: Aker BP, ConocoPhillips, Equinor, Lundin, Total, Wintershall Dea. Finally, the center is promoting innovation, which means that your research results might be taken into use in the near future, contributing to the digitalization and the green shift.
The PhD training will be advised by Dr Tomasz Wiktorski (UiS) and Dr Sergey Alyaev (NORCE).
We are looking for applicants with a strong academic background who have completed a five-year master's degree (3+2) within Computer/Data Science, Statistics, Applied Mathematics or equivalent, 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 (master's 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, involvement and innovation. Diversity is respected and considered a resource in our work and learning environment. Universal design characterizes physical and digital learning environments, and we strive to provide reasonable adjustments for employees with disabilities.
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 Tomasz Wiktorski, tel: +47 51 83 20 61 e-mail: firstname.lastname@example.org.
Information about the appointment procedure can be obtained from HR consultant Rosa Andrade, tel: +47 51 83 11 91, e-mail: email@example.com.
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 English text takes precedence.Continue reading
|Title||Ph.D Fellowship in Online/Offline Deep Learning Models|
|Employer||University of Stavanger|
|Job location||Kjell Arholmsgt. 41, 4036 Stavanger|
|Published||March 29, 2021|
|Application deadline||May 9, 2021|
|Job types||PhD  |
|Fields||Algorithms,   Statistics,   Data Structures,   Programming Languages,   Applied Mathematics,   Computational Mathematics,   Machine Learning  |