Doctoral Student in Reduced Models for Learned Reconstruction Methods

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The Inverse Problems Group at the University of Oulu is announcing an open doctoral student position. The position is located at the Research Unit of Mathematical Sciences, which has an internationally strong position at the forefront of research in its focus areas. The Inverse Problems Group within the Research Unit is a member of the Finnish Center of Excellence in Inverse Problems Research (https://wiki.helsinki.fi/display/inverse/Home ), funded by the Academy if Finland for the period 2018 – 2025.

The position is for 4 years and is aimed to start on December 2021 or as soon as possible thereafter, no later than March 2022. A trial period of six months is applied in the position.

Description of the position

The doctoral student will work within the project "Accurate Imaging with Sound and Light (AI-SOL)” funded by the Academy of Finland. The project aims to develop real-time capable and accurate imaging techniques for photoacoustic tomography and related applications. The reconstruction task involves accurate and computationally demanding simulation of wave and light propagation, to recover information on the imaged tissue. In this context, the student will develop model reduction techniques for conventional model-based reconstruction algorithms and data-driven methods.

The project involves active collaboration with national and international partners. The doctoral student will carry out research work related to the project, publish research results, and attend doctoral courses. Some participation in teaching is required. Please also see the requirements of the University of Oulu Graduate School: http://www.oulu.fi/uniogs/requirements_for_admission . The work will be supervised by Andreas Hauptmann.

Requirements

The successful applicant must hold a master’s degree (or equivalent degree) in applied mathematics, applied physics, statistics, or a closely related subject. A strong background in computational methods or computer science is beneficial.

We are looking for a talented, highly motivated, research-oriented person who has knowledge in applied and computational mathematics, physics, statistics, computer science, inverse problems, Bayesian statistics, and data-driven methods in general. Experience with the simulation of wave and/or light propagation is beneficial.

Special emphasize is put on research experience in the subject field and demonstrated experience in writing scientific publications. Experience on multidisciplinary research, work abroad and other international experience will be regarded as an asset.

Salary

The salary of the selected doctoral student will be set on levels 2 – 4 of the national salary scales 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). A typical starting salary for a doctoral student is approx. 2300-2500 EUR.

How to apply

Applications, together with all relevant enclosures, should be submitted using the electronic application form by 6 October 2021.

Applications must be accompanied by the following English-language documents:

1) Brief curriculum vitae (Max. size limit of the attachment: 5 Mbytes and 4 pages).

2)  A copy of academic degree(s) and respective transcripts

3) A transcript of studies

4) Brief motivation letter summarising applicant’s professional experience, expertise and describing why the applicant is interested in the position. Additionally, information on personal research interests and career plans are valuable to provide here (max 2 pages).

5) Full name and e-mail addresses for at least two persons who are willing to give reference letters (if separately asked).

Contact

Andreas Hauptmann, andreas.hauptmann (at) oulu.fi
(Academy Research Fellow & Assistant Professor)

About the City of Oulu

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