PhD in 3 years: Doctoral Researchers with the Doctoral Education Pilot for Mathematics of Sensing, Imaging and Modelling (DREAM)

The University of Oulu is a multidisciplinary, international research university, with about 3,600 employees who produce new knowledge based on high-standards research and provide research based education to build a more sustainable, smarter, and more humane world. The University of Oulu community has about 17,000 people in total. Our northern scientific community operates globally and creates conditions for the emergence of innovations.  

We are now looking for seven

Doctoral Researchers

as part of the Doctoral Education Pilot for Mathematics of Sensing, Imaging and Modelling (DREAM) at the University of Oulu.

DREAM will educate in total 100 doctors located at 7 Finnish universities in a diverse and multidisciplinary setting, encompassing applied mathematics, physics, engineering, and applied sciences. The doctoral researchers are trained by the experts on fields related to the Flagship of Advanced Mathematics for Sensing, Imaging and Modelling (FAME) in close interaction with companies and other sectors of the society.

This call at the University of Oulu consists of seven positions in the following Research Units with the respective fields of the degree outlined:

• 3 positions in the Research Unit of Mathematical Sciences, Faculty of Science.
  In the field of Computational Mathematics.
• 1 position in the Research Unit of Applied and Computational Mathematics, Faculty of Information Technology and Electrical Engineering. In the field of Computational Mathematics.
• 2 positions in the Research Unit of Health Sciences and Technology, Faculty of Medicine. In the fields of Medical Physics and Technology or Biomedical Engineering.
• 1 position in the Research Unit of Space Physics and Astronomy, Faculty of Science.
  In the field of Space Physics.

You can read more about the participation units by following the links above.

The research projects and your duties

We are searching for excellent candidates to fit the profiles of the participating units and their intended research projects. Each applicant will need to indicate a primary and an optional secondary position that they apply to from the projects offered in this call listed below. A detailed description of the projects can be found in the announcement: DREAM projects 2nd call

• RU Mathematical Sciences: Low X-ray Exposure for Direct Tumor Surface Estimation and Imaging Optimization.
  Supervisor: Babak Maboudi Afkham & Andreas Hauptmann
• RU Mathematical Sciences: Advanced image reconstruction for low-field magnetic resonance imaging.
  Supervisor: Andreas Hauptmann
• RU Mathematical Sciences: Effectiveness of audiovisual material for teaching and outreach for mathematics of medical image reconstruction.
  Supervisor: Andreas Hauptmann
• RU Applied and Computational Mathematics: Novel computational methods for nonlinear wave inversion.
  Supervisor: Teemu Tyni
• RU Health Sciences and Technology: Raman spectroscopy for better diagnosis of rheumatic diseases.
  Supervisor: Simo Saarakkala
• RU Health Sciences and Technology: Monitoring brain radiotherapy treatment response with multiparametric MRI.
  Supervisor: Juha Nikkinen
• RU Space Physics and Astronomy: Advanced methods for 3D observations of the ionosphere with the EISCAT3D radar.
  Supervisor: Ilkka Virtanen

As doctoral researcher in the DREAM consortium your duties include:

• You will focus primarily on your doctoral studies and your research project.
• You will participate in training events of DREAM.
• Collaboration with industrial and societal partners relevant to the project.

What we offer

• The support of the DREAM doctoral pilot and experienced researchers in the FAME flagship to achieve your research goals.
• The opportunity for secondments with industrial and societal partners to gain practical experience.
• Wellness benefit ePassi covering sport, culture and well-being. Read more about other staff benefits.
• Development and career options of the big organization.
• Work that matters and a workplace that promotes flexibility and work-life balance. Read more about working with us.
• Our Buddy Programme and Spouse Network support you and close-ones in settling into Oulu.
• We have a HR Excellence in Research -quality label which is a recognition awarded by the European Commission for the development of researchers’ working conditions and careers.
• Finland is one of the most livable countries in the world, with a high quality of life, safety, excellent education and healthcare system, and competitive economy. Read more about living in Oulu.

Who are you?

You have or are expecting to finish your Master’s degree by 30. November 2024 in a relevant field to the projects, with very good or excellent grades. You are fluent in written and spoken English, and are comfortable to communicate in interdisciplinary teams. For further requirements, see the the University of Oulu Graduate School (UniOGS).

Further we are searching for excellent candidates with project-specific qualifications:

• RU Mathematical Sciences: A MSc in Applied or Computational Mathematics, or related fields. Good programming skills are necessary. The ideal candidate also has a background in Inverse Problems, Analysis, as well as Physics and/or Medical Physics, possible knowledge of data science is a plus. A background in teaching and education is expected for the project on outreach.
• RU Applied and Computational Mathematics: A MSc in Applied or Computational Mathematics, or related fields. The ideal candidate has a background in partial differential equations and mathematical programming. Knowledge of inverse problems is considered a bonus.
• RU Health Sciences and Technology: Applicants have MSc (or equivalent) in medical physics, biomedical engineering, imaging, or mathematics or have studied these topics as part of your degree. Successful applicants are interested in medical imaging, vibrational spectroscopy, image reconstruction, experimental imaging, X-ray physics where applicable, and/or data analysis. Knowledge on machine learning and AI is a plus.
• RU Research Unit of Space Physics and Astronomy: MSc in Space Physics or a related field. Good programming skills are necessary. Experience in space physics datasets, inverse problems, and high-power computing are considered benefits, but are not required.

Salary

The positions are fixed-term for 3 years as of 1^st of January 2025.

The salary will be based on the levels 2-4 of the demand level chart for teaching and research staff of Finnish universities. In addition, a salary component based on personal work performance will be paid (maximum of 50 % of the job-specific component). Starting gross salary will be approx. 2300-2600 € per month (before taxes).  A trial period of 6 months is applied in the position.

How to apply?

Interested? If yes, please apply by 5^th of October 2024 (23:59 Finnish local time) through our recruitment system.

The application should be written in English and include the following:

1. Cover letter
2. A brief description of your expertise relevant to the chosen project (1 page).
3. CV (max 2 pages).
4. Certificates/Diplomas (or a letter of your supervisor with expected graduation data).
   
5. Contact information of two persons available for recommendation

The eligible applicants fitting best in the profile expected for the position will be invited to an on-site or remote interview. All applicants will be notified during the selection process.

We welcome applicants from all backgrounds, such as people of different ages, genders and lingual, cultural or minority groups.

Contact Information

If you have any further questions, please contact 

Associate Professor, Andreas Hauptmann
Research Unit of Mathematical Sciences
andreas.hauptmann@oulu.fi

Professor, Miika Nieminen
Research Unit of Health Sciences and Technology
miika.nieminen@oulu.fi

1. Andreas Selmar Hauptmann,