Development of new statistical methodologies for analysing geophysical data

  • //applyindex.com/wp-content/uploads/2021/11/norway.png Norway
  • University/Institute Name Norwegian University of Science & Technology (NTNU)
  • University/Institute Name Department of Mathematical Sciences
  • Attendance Type On Campus
  • Position Duration3 years
  • Position Funding Type
  • Application deadlineExpired

Position Details (PhD Program)

The position is associated with the Centre for Geophysical Forecasting (CGF) at NTNU, which is one of the Norwegian centres for research-driven innovation, funded by the research council of Norway and industry partners. The goal of the CGF is to become a world-leading research and innovation hub for the geophysical sciences, creating innovative new products and services in earth sensing and forecasting domains. As the global ecosystem enters a period of dramatic change, there is a strong need for accurate monitoring and forecasting of the Earth. Statistical modelling and methodologies play important roles here, enabling reliable predictions and uncertainty quantification that aid decision support.

The PhD candidate will be conducting statistical research on spatial and spatio-temporal processes that can be used for extracting relevant information from various types of geophysical data. The study focus of the PhD project is on the development of new statistical methodologies for analysing geophysical data. Such data include seismic and electromagnetic measurements, as well as newer data types such as fiber-optical sensing data. The project will also focus on using statistical methodologies for research developments in the centre. Core components of the PhD project include Bayesian hierarchical modeling and methods for conditioning in such models. We aim for a coherent interpretable modeling approach honoring the large-size spatio-temporal data. The PhD will work on the statistical foundations for such frameworks.

This PhD projects are further part of the PERSEUS doctoral programme: A collaboration between NTNU- Norway’s largest university, 11 top-level academic partners in 8 European countries, and 8 industrial partners within sectors of high societal relevance.

PERSEUS will recruit 40 PhD candidates who want to contribute to a smart, safe and sustainable future. The PERSEUS project is looking for highly skilled PhD candidates motivated to approach societal challenges within one of the following thematic areas:

  • Big data and AI
  • Digital Twins
  • Internet of Things
  • Extended Reality
  • Information and Cyber Security

The statistical skills mentioned above, are particularly relevant for the first thematic area!

All participants in the PERSEUS network bring unique and important qualities with them into the doctoral programme. The PERSEUS PhD candidates will have the opportunity to collaborate with researchers in the partner institutions and in other project consortia, and benefit from these collaborative research and education activities.

In CGF and PERSEUS you will work alongside other highly motivated and talented PhD candidates and researchers. You will also have access to the knowledge base, state-of-the-art research infrastructure, and impact orientation of the partners in the team.

In addition to your education and development within the thematic research area, you will gain transferable skills within project development and management, science communication, research ethics, innovation and entrepreneurial thinking, as well as basic university didactics.

You will be employed by NTNU. During your stay, you will do a 2–3 month international stay and a 1-2 month national stay with one of the PERSEUS partners. This will most fruitfully be achieved by having a strong contact with partners in CGF. This will allow you to extend your network within academia and industry, and to learn about your research area from an academic, innovation, and societal perspective.

The duration of the PhD employment is 36 months.

Starting gross salary is 501.200 NOK/year (equal to approx. 49.000 EUR/year by the exchange rate of November 2022).

We are looking for PhD candidates from all nationalities, who want to contribute to our quest to create knowledge for a better world. PERSEUS recruits candidates according to the EU’s mobility rule, i.e. applicants cannot have spent more than 12 months in Norway during the last 3 years, be within the first four years of their research careers and not yet be awarded a doctoral degree.

We believe in fair and open processes. All applications will be considered through a transparent evaluation procedure, with independent observers involved.

The position’s working place is NTNU campus in Trondheim. You will report to Department Head of Mathematical Sciences.

We look forward to welcoming you to the CGF and the PERSEUS teams.

Duties of the position

  • undertaking the necessary courses (30 ECTS) as part of the PhD programme;
  • submitting an application for admission and a research plan no later than 3 months after the employment;
  • conducting high quality research and report progress on a regular basis and in agreement with the supervisors.

Required selection criteria

  • International mobility requirements: Applicants of any age and any nationality will be eligible as far as they fulfil the mobility requirement of the COFUND programme, namely, the applicants must not have resided or carried out their main activity (work, studies, etc.) in the country of the host organization (Norway) for more than 12 months in the 3 years immediately before the call deadline of PERSEUS. Candidates must at the date of the call deadline be within the first four years of their research careers and not yet be awarded a doctoral degree. Full-time equivalent research experience is measured from the date when the candidate obtained the degree entitling him/her to embark on a doctorate (e.g. from the Master’s degree).
  • Education requirements: 5 years of higher education (BSC and MSC) or education equal to (300 ECTS). The grade requirements are B or higher (based on NTNU’s grading scale). Master degree must be completed by the call deadline. Education will have to be documented by diploma supplement or equivalent documentation in English and include a description of the educational system. International Relations do require Chinese diplomas to be verified using CHSI. The NTNU Office of International Relations will evaluate degrees and diplomas.
  • Language skill requirements: The applicants will be asked to provide evidence of good English language skills, written and spoken. The following certificates may be used as such evidence: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE).
  • Export of Knowledge Control: The PhD candidates who, based on a comprehensive first-hand assessment, might come into conflict with legislation governing exports of knowledge, technology and services will not advance further from the first stage in the recruitment process. For further information, please refer to the Export Control Act.

In addition, the candidate must have:

  • MSc degree in Statistics or equivalent discipline.
  • Solid background in multivariate statistical modeling and computational statistics.
  • Strong implementation and programming knowledge.
  • Knowledge and experience with spatial statistics or other large-scale uncertain systems is an advantage.

The appointment is to be made in accordance with  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 selction criteria

  • excellent communication skills
  • strong motivation for high quality research

Personal characteristics

  • Willingness to learn new fields in a multidisciplinary research environment.
  • Excellent communication skills.
  • Drive to transition new research results and technologies into innovative products and services.
  • Self-motivated, ambitious, resilient, resourceful, result-oriented, and independent.
  • Excellent writing skills, capable of synthesizing and expressing complex ideas clearly.

Emphasis will be placed on personal and interpersonal qualities.

The offer

Salary and conditions

PhD candidates are remunerated in code 1017 and are normally remunerated at gross from NOK 501 200 per annum before tax, however it may be negotiable (increased) depending on high level of qualifications and research experience of the candidate. 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 Mathematical Sciences 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.

The position is subject to external funding.

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.

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.

Please submit your application electronically via Jobbnorge website. Applications submitted elsewhere/incomplete applications will not be considered.

Applicants must upload the following documents within the closing date:

  • CV including information relevant for the qualifications, submitted together with an identification document.
  • Name, current affiliation and email address of at least 2 persons that will provide reference for you.
  • Certified copies of academic diplomas and transcripts and 2 reference letters.
  • Applicants from universities outside of Norway will be requested to send a diploma supplement (or a similar document) which describes in detail the study and grading system, and the rights for further studies associated with the obtained degree. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).
  • A research interest description (maximum 2 pages) that includes a short presentation of the motivation for a PhD study, suitability for the position and the applicant’s view towards listed research challenges as well as the theoretical and methodological approach to the challenges.
  • Scientific publications (if any). Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.

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.

 

Research Skills Required

Computer/Software Skills Required

Which language proficiency is required?

Applicant type required for this position

Position Start Date