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Institut für Mathematik und Wissenschaftliches Rechnen If you are interested in joining the research group "Inverse Problems and Mathematical Imaging" as a PostDoc, PhD student or student assistant, please contact me via email at Email.

PhD position (Next Generation CEST MRI)

FWF/DFG logo

The Inverse Problems and Mathematical Imaging group at the Institute of Mathematics and Scientific Computing, University of Graz is offering a

PhD position within the joint FWF/DFG project
Next Generation Chemical Exchange Saturation Transfer MRI

30 hours a week; fixed-term employment for the period of 3 years; salary according to FWF rate; position to be filled as soon as possible.

Project description

This joint interdisciplinary project together with Graz University of Technology and University Hospital Erlangen aims at combining new advanced methods in MR research and recent mathematical approaches to achieve a major step forward for fast and quantitative imaging of metabolic conditions in CEST MRI (Chemical Exchange Saturation Transfer Magnetic Resonance Imaging). Its mathematical parts cover two research areas: 1) The reduction of scanning time through combination of parallel imaging with subsampling and compressed sensing methods in image reconstruction, and 2) the use of recent optimal control techniques to design radio-frequency (RF) slice selective excitation and refocusing pulses that comply with the technical limitations of whole body systems. They contribute, within the cooperation project, to the development of MRI to a unique morphological, functional and metabolic imaging modality and prepare the way of MRI for a broader future clinical application in metabolic biomarker imaging and precision medicine.

Profile and requirements

The work within the PhD position will focus on mathematical image processing for medical image reconstruction as well as optimal control for applications in magnetic resonance scanners. Ideal candidates should have the following profile:

  • Excellent master's or equivalent degree in mathematics.
  • Ability and dedication to work in an interdisciplinary project team and environment.
  • Strong interest in analysis, numerics and applications of mathematical image processing, inverse problems and optimal control.
  • Programming experience with scientific computing environments (e.g., MATLAB, Python NumPy/SciPy, etc.).
  • Ability to write and communicate in English.

Application

Please send your application as a single PDF including CV, a short motivation letter and names of two references via e-mail to Email, mentioning CEST MRI in the subject line.

PhD position (MSCA ITN TraDE-Opt)

TraDE-Opt

We are inviting for applications for

1 PhD position funded by H2020 EU project

Marie Skłodowska-Curie Actions — Innovative Training Network

TraDE-Opt — Training Data-Driven Experts in Optimization

40 hours a week; fixed-term employment for the period of 3 years; position to be filled as soon as possible.

Details

We are looking for a candidate with strong mathematical and computations skills to work on theoretical and algorithmic projects at the interface between optimization, image processing and machine learning. PhD salaries are commensurate to international standards, according to Marie Curie actions.

Within TraDE-Opt, the early-stage researcher (ESR) will be hosted at the University of Graz and work on the following project:

The project objectives are as follows: Establishment of convergence properties for non-stationary preconditioners for specific first-order splitting methods. Application to CG iteration and Douglas-Rachford-type algorithms. Development of multiscale optimization formulations within a preconditioned splitting framework. Application to large-scale variational image reconstruction problems in MRI.

Eligibility criteria

  • Candidates must – at the date of recruitment – have obtained the MSc degree entitling to embark on a doctorate.
  • Candidates must – at the date of recruitment – be within the first four years (full-time equivalent research experience) of their research career and not have a doctoral degree.
  • Mobility rule: candidates must not have resided or carried out their main activity (work, studies, etc.) in the country of the host organisation (i.e., Austria) for more than 12 months in the 3 years immediately prior to the recruitment date. Compulsory national service and/or short stays such as holidays are not taken into account.

Please make sure you comply with the eligibility criteria before applying. You need to be able to provide documentation proving your eligibility for recruitment. A full description of eligibility criteria can be found in the Information Note for ITN Fellows.

Application procedure

Applications should include:

  1. Motivation Letter (describing research career goals, skills, experience, and highlighting the consistency to the candidate's profile),
  2. A complete Curriculum Vitae with references to past research and training experiences,
  3. Copies of Bachelor and Master's certificates/diploma & transcripts,
  4. Two Reference Letters,
  5. Publications (if available).
Applications should be submitted to Email in English, as a single PDF.

TraDE-Opt recruitment and employment strategy is based on an equal opportunities policy and in full compliance with the principle of the Code of Conduct for the Recruitment of Researchers. We value diversity, and do not discriminate based on gender, religion, marital status, age, or cultural background. TraDE-Opt seeks to increase the number of women in those scientific areas where they are under-represented and therefore explicitly encourages women to apply.