Postdoctoral Researcher, Magnetic Resonance Imaging, Faculty of Medicine

at  Oulun Yliopisto

The University of Oulu is one of the biggest and most multidisciplinary universities in Finland. We create new knowledge and innovations that help to solve global challenges. We offer you an international and inspiring working environment where you are given responsibility and can use your skills, develop yourself and do work that matters. Our flexible and family-friendly workplace makes it easy for you to balance work and leisure. The University of Oulu is ranked in the top 3% of the world´s universities.
We are now looking for a highly motivated and talented

OUR RESEARCH GROUP

Our research group focuses on medical imaging working at the interface of the university and university hospital. We are a balanced mixture of university researchers and medical physicists whose core areas of expertise is magnetic resonance imaging (MRI). In addition to our academic and hospital connections, we are actively collaborating with various industrial partners. We have a long history of developing quantitative MRI methods for clinical applications. We focus on developing relaxometry-based methods to identify constituent-specific alterations in tissue ultrastructure, histological correlation of MRI parameters, speeding up MRI image acquisition, developing tools and algorithms for image analysis, and applying these methods in human and patient studies.
We are seeking a Postdoctoral Researcher to work full-time in the field of MRI research within the Flagship of Advanced Mathematics for Sensing, Imaging and Modelling (FAME), appointed by the Research Council of Finland. The central idea of FAME is to form an internationally leading competence centre of applied mathematicians, physicists, and applied scientists with a vision of providing solutions and methodologies for various imaging and sensing problems arising from the industry and society to boost Finnish economy and global wellbeing.

REQUIREMENTS AND EXPECTATIONS

• A doctoral degree in physics, engineering, computer science, or mathematics.
• The doctoral degree may not have been completed more than five years ago at the time of accepting the position (a net period of time, which does not include parental leave, military service etc.). Applicants whose doctoral degree will be completed soon and whose doctoral dissertation topic is particularly relevant to this call may also be considered eligible to apply.
• Potential candidates should have a good command of the English language.

The following will be considered an advantage:

• Experience in experimental or clinical MRI
• A strong interest in interdisciplinary scientific work (demonstrated by the motivation letter).
• Programming skills with Matlab, C/C++ or Python.
• Research experience in inverse problem and/or machine learning and artificial intelligence applied to imaging applications.
• A good publication track record.
• Experience in supervising undergraduate students.

• Conducting research in clinical-related MRI research
• Collaborating with national and international research institutions and companies
• Writing scientific publications in peer-reviewed journals
• Supervising doctoral researchers, students, and interns
• Participating in teaching