Premium

PhD Fellowship in Information Technology (Applied Data Science) - Data Science

School/Institution:University of Stavanger, Norway, STAVANGER

Discipline: Data Science

Employment Type:Full-time

Posted:2021-10-10

Contact Person:If you wish to apply for this position, please specify that you saw it on AKATECH.tech

Job description

The University of Stavanger invites applicants for a PhD Fellowship in Information Technology (Applied Data Science) at the Faculty of Science and Technology, Department of Electrical Engineering and Computer Science.

This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree.

The hired candidate will be admitted to the PhD program in Science and Technology. The education includes relevant courses to about six months of study, a dissertation based on independent research, participation in national and international research environments, relevant academic communication, a trial lecture and public defence. Read more about the PhD education at UiS on our website.

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.

About the research project

The PhD student will be affiliated with the following project “AutoWell – Automated Well Monitoring and Control” coordinated by the Research Council of Norway.

The main task is to implement and maintain the cloud data hub hosted at the UiS datacenters, in relation to the development of the “Warning system module” in AutoWell platform, as an intermediate solution for advisory well control and performance improvement carried routinely out today by production engineers.

The goal is to develop a warning system that provides real-time alarms for notifying on issues with oil well performance, changing impact of nearby wells and reservoir boundaries as well as initiation of leakage out of target formation. Further tasks are focused on applying improvements for interaction and visualization procedures based on feedback from potential industrial users.

Qualification requirements

We are looking for applicants with a strong academic background who have completed a five-year master degree (3+2) within Computer Science, 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 fall of 2021, you are also welcome to apply.

Emphasis is also placed on your:

  • knowledge of Machine Learning and Cloud/Edge Computing
  • proficiency in programming in Python/R/C++/C
  • motivation and potential for research within the field
  • professional and personal skills for completing the doctoral degree within the timeframe
  • ability to work independently and in a team, be innovative and creative
  • ability to work structured and handle a heavy workload
  • having a good command of both oral and written English

Requirements for competence in English

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:

  • TOEFL – Test of English as a Foreign Language, Internet-Based Test (IBT). Minimum result: 90
  • IELTS – International English Language Testing Service. Minimum result: 6.5
  • Certificate in Advanced English (CAE) og Certificate of Proficiency in English (CPE) from the University of Cambridge
  • PTE Academic – Pearson Test of English Academic. Minimum result: 62

The following applicants are exempt from the above requirements:

  • Applicants with one year of completed university studies in Australia, Canada, Ireland, New Zealand, United Kingdom, USA
  • Applicants with an International Baccalaureate (IB) diploma
  • Applicants with a completed bachelor's and / or master's degrees taught in English in a EU/EEA country

We offer

  • a PhD education in a large, exciting and socially important organisation
  • an ambitious work community which is developing rapidly. We strive to include employees at all levels in strategic decisions and promote an informal atmosphere with a flat organisational structure.
  • colleague-based guidance programme (NyTi) if teaching is a part of your position
  • salary in accordance with the State Salary Scale, l.pl 17.515, code 1017, NOK 491 200 gross per year with salary development according to seniority in the position. A higher salary may be considered in special cases. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
  • automatic membership in the Norwegian Public Service Pension Fund, which provides favourable insurance- and retirement benefits
  • favourable membership terms at a gym and at the SIS sports club at campus
  • employment with an Inclusive Workplace organisation which is committed to reducing sick leave, increasing the proportion of employees with reduced working capacity, and increasing the number of professionally active seniors
  • "Hjem-jobb-hjem" discounted public transport to and from work
  • as an employee in Norway, you will have access to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a competitive salary. Nursery places are guaranteed and reasonably priced
  • relocation programme
  • language courses: On this page you can see which language courses you may be entitled to (look up “language courses” under employment conditions)

Diversity

University of Stavanger values independence, involvement and innovation. Diversity is respected and considered a resource in our work and learning environment. Universal design characterises 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.

Contact information

More information on the position can be obtained from Senior Advisor Russel Wolf, e-mail: russel.wolff@uis.no or Professor Chunming Rong, tel: +47 51 83 20 13, e- mail: chunming.rong@uis.no.

Information about the appointment procedure can be obtained from HR consultant Rosa Andrade, tel: +47 51 83 11 91, e-mail: rekruttering@uis.no.

Application

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.

The following documents must be uploaded as attachments to your application:

  • cover letter explaining the candidate’s interest in the project and the relevance of their background and experience for the position
  • CV with a full summary of your education and experience
  • references, certificates/diplomas and other documentation that you consider relevant
  • Diploma Supplement or similar and a confirmed conversion scale if this is required
  • documentation on competence in English if this is required
  • publications or other relevant research work

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 and that you have attached the necessary documentation.

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.

General information

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.

JOB DETAILS

Title: PhD Fellowship in Information Technology (Applied Data Science)

Employer: University of Stavanger

Job location: Kjell Arholmsgt. 41, 4036 Stavanger

Job types: PhD

Fields: Information Science,   Algorithms,   Artificial Intelligence,   Data Mining,   Data Structures,   Databases,   Programming Languages,   Software Engineering,   Machine Learning

Contact Person: If you wish to apply for this position, please specify that you saw it on AKATECH.tech

Last viewed: