PhD Fellow in Computer Science – Machine learning for ground investigations

University of Tromsø
January 10, 2023
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Faculty of Science and Technology

PhD Fellow in Computer Science – Machine learning for ground investigations The position

A PhD position in Computer Science and Machine learning for ground investigations is available at the Department of Computer Science and the Health Data Lab (HDL) Research group.

The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position.

The Department of Computer Science provides an active international research environment with 27 tenured faculty members, 11 adjunct professors, 11 post doctors and researchers, 9 technical/ administrative staff members and about 30 PhD students. The objective of the Department is to advance the research and teaching of computer science as a discipline, to demonstrate leadership within our areas of interest, and to contribute to society through our education, research, and dissemination.

The Health Data Lab does interdisciplinary research combining machine learning and experimental computer science with real problems, applications, and data obtained from our biomedical research collaborators.

The project

Ground investigations are the processes of exploring ground conditions for construction and mining operations. This project collaborates with The Coring Company to optimize the ground investigation processes and reduce its potential cost and ground-related risks. The company's vision is to perform ground investigations on earth and also on the moon in the future.

The ground investigations require data from different input sources (e.g., drilling rigs, lab data, mechanical equipment) for prediction and decision- making. This project will apply machine learning and high-performance computing to address the challenges throughout the end-to-end workflow of ground investigation.

The project will improve the quality of collected data from various sources. Depending on available computing resources and network, data cleaning and computation can be performed on-site or offsite. We will investigate how to distribute computation and communication workload to improve time performance and energy efficiency. The project will also create a multidimensional visualization of geographic data.

The candidate will work in a multidisciplinary team at UiT, contribute to the research group's research projects, where we combine experimental computer science with real-life problems, and analyze data obtained from our research collaborators. The Ph.D. fellow is expected to write research papers publishable in reputable international venues, present results at international conferences, write progress reports on the ongoing thesis project, and work constructively towards collectively defined research goals.

The workplace is at UiT in Tromsø. You must be able to start in the position within a reasonable time, within 6 months after receiving the offer.

Contact

For further information about the position, contact Associate Professor Vi Ngoc-Nha Tran:

  • phone: +47 77646332, email: vi.n.tran@uit.no
  • For administrative questions, please contact Head of administration Svein Tore Jensen:

  • phone +47 77644036, email: svein.tore.jensen@uit.no
  • Qualifications

    This position requires a Master's degree or equivalent in Computer Science. A successful candidate should have a solid theoretical background and research experience in one or more of the following subjects: machine learning, high- performance computing (e.g., parallel and distributed computing), and data visualization. Since the research results are evaluated via experimental studies, excellent programming skills are essential.

    Applicants must document their proficiency in English and be able to work in an international environment.

    The assessment emphasizes the applicant's potential for excellent research work, education completion, motivation, and personal suitability for the position. The following qualities are also considered advantages: good collaboration skills and work ethics, as well as experience working in an international environment.

    As many as possible should have the opportunity to undertake organized research training. If you already hold a PhD or have equivalent competence, we will not appoint you to this position.

    Admission to the PhD programme

    For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Science and Technology and participate in organized doctoral studies within the employment period.

    Admission normally requires:

  • A bachelor's degree of 180 ECTS and a master's degree of 120 ECTS, or an integrated master's degree of 300 ECTS.
  • A master's thesis with a scope corresponding to at least 30 ECTS for a master's degree of 120 ECTS.
  • A master's thesis with a scope corresponding to at least 20 ECTS for an integrated master's degree of 300 ECTS.
  • In order to gain admission to the programme, the applicant must have a grade point average of C or better for the master's degree and for relevant subjects of the bachelor's degree. A more detailed description of admission requirements can be found here.

    Applicants with a foreign education will be subjected to an evaluation of whether the educational background is equal to Norwegian higher education, following national guidelines from NOKUT.

    If you are employed in the position, you will be provisionally admitted to the PhD programme. Application for final admission must be submitted no later than two months after taking up the position.

    Inclusion and diversity

    UiT The Arctic University of Norway is working actively to promote equality, gender balance and diversity among employees and students, and to create an inclusive and safe working environment. We believe that inclusion and diversity are a strength and we want employees with different competencies, professional experience, life experience and perspectives.

    If you have a disability, a gap in your CV or immigrant background, we encourage you to tick the box for this in your application. If there are qualified applicants, we invite at least one in each group for an interview. If you get the job, we will adapt the working conditions if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics.

    Application

    Your application must include:

  • Cover letter stating specifically which part of your education is most relevant for the position, explaining your motivation and research interests
  • CV
  • Diploma for bachelor's and master's degree
  • Transcript of grades/academic record for bachelor's and master's degree
  • Explanation of the grading system for foreign education (Diploma Supplement if available)
  • Documentation of English proficiency
  • References with contact information
  • Master's thesis, and any other academic works
  • Qualification with a master's degree is required before commencement in the position. If you are near completion of your master's degree, you may still apply and submit a draft version of the thesis and a statement from your supervisor or institution indicating when the degree will be obtained. You must document completion of your degree before commencement in the position. You must still submit your transcripts for the master's degree with your application.

    All documentation to be considered must be in a Scandinavian language or English. Diplomas and transcripts must also be submitted in the original language, if not in English or Scandinavian. We only accept applications and documentation sent via Jobbnorge within the application deadline.

    We offer
  • Involvement in an interesting research project with industry collaboration
  • A exciting international academic environment with dedicated colleagues
  • Flexible working hours and a state collective pay agreement
  • Pension scheme through the state pension fund
  • The possibility to balance professional development with a location to experience the liberating arctic nature: ski under the northern lights, hike and bike along the fjords
  • More practical information for working and living in Norway can be found here: https: // uit.no/staffmobility

    General information

    The appointment is made in accordance with State regulations and guidelines at UiT. At our website, you will find more information for applicants.

    A shorter period of appointment may be decided when the PhD Fellow has already completed parts of their research training programme or when the appointment is based on a previous qualifying position PhD Fellow, research assistant, or the like in such a way that the total time used for research training amounts to three years.

    Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017 . A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted.

    We process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According to the Personal Data Act information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure. You will receive advance notification in the event of such publication, if you have requested non-disclosure.

    UiT - Developing the High North

    UiT is a multi-campus research university in Norway and the northernmost university of the world. Our central location in the High North, our broad and diverse research and study portfolio, and our interdisciplinary qualities make us uniquely suited to meet the challenges of the future. At UiT you can explore global issues from a close-up perspective.

    Credibility, academic freedom, closeness, creativity and commitment shall be hallmarks of the relationship between our employees, between our employees and our students and between UiT and our partners.

    Deadline

    10th January 2023

    Employer

    UiT The Arctic University of Norway

    Municipality

    Tromsø - Romsa

    Scope

    Fulltime (1 positions) Fulltime (%)

    Duration

    Fixed Term

    Place of service

    UiT in Tromsø

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