MEMoRIAL-M1.3 | Use of prior knowledge in CT reconstruction

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    Otto von Guericke University Magdeburg
    Natural sciences
    First Stage Researcher (R1) (Up to the point of PhD)

MEMoRIAL-M1.3 | Use of prior knowledge in CT reconstruction

A C-Arm CT system, as compared with CT systems, is more sensible to the scattered radiation. This acquired scattered radiation leads, unavoidably, to a degradation of the reconstructed object's quality.

Every bit of information - that we call 'prior knowledge' - possible to being safely introduced during the image reconstruction process or post-processing can help to improve image qualities, reduce the overall acquisition time, or reduce the dose acquired by the patient.

Depending on background and interests of the candidate, the research focus in this sub-project will be either on the presence of metallic implants such as platinum coils or clips, which impair image qualities (causing poor estimation of scattered radiation, beam-hardening effects and detector underexposure), or more general approaches to the use of prior knowledge in CT reconstruction in close consultation with the designated sub-project PIs.



  1. holding a Master’s degree or equivalent in

    ++ (medical) engineering,

    ++ computer science,

    ++ physics, or

    ++ natural science

  2. featuring advanced programming skills (MATLAB/Python and C/C++; with hands-on experience in GPU programming being advantageous!),
  3. being familiar with medical imaging (with knowledge on computed tomography (CT) reconstruction being beneficial!), and
  4. featuring English language skills adequate to communicate, give presentations, and publish scientific results

while ...

- being keen on joining an interdisciplinary team of enthusiastic as well as goal-driven researchers and PhD students in the field of medical and materials engineering,

- being seriously intended to successfully take their doctoral degree within 31 months / by no later than Apr-30, 2022 (end of the max. funding period) within the scope of a structured PhD program not least affording for/focusing on individual progression wrt

++ specialist knowledge,

++ technical know-how, and

++ scientific soft-skills

- whereas not yet having submitted any M1-related application

are therefore WELCOME to direct their M1.3-specific application (to be referenced via subject line!) ...

to application-memorial@ovgu.de

until July-12 (Fri), 2019 (23:59 CEST)

within ONE, combined, and complete PDF-File (max. 10 MB!)

according to the following guideline and order of information:

  1. motivation letter;
  2. CV;
  3. [CERTIFIED English or German translations of] Master’s degree(s) + certificate(s) + transcript(s) (or equivalent qualification);
  4. [CERTIFIED English or German translations of] Bachelor’s degree + certificate + transcript (or equivalent qualification);
  5. publication list;
  6. OPTIONAL: further certificates (e.g. related to language or software skills, job training, internships etc.);
  7. OPTIONAL: recommendation letter(s) / credentials.

Scholarship amount: EUR 2.250 monthly.

Further information concerning the terms and conditions as well as sub-project launch will be communicated in a personal manner to the applicants in question during the subsequent (Skype-)interview sessions.

We are looking forward to your expressive and complete application by email.

PLEASE NOTE: Applications non-compliant with the instructions and requirements listed above will be REJECTED BY RETURN / completely left out of consideration!

For on-topic questions incl. technical details please feel free to contact the PIs in charge of this sub-project as mentioned on the right (cf. contact box).

Please refer to THIS link for any news regarding the status of the selection process.


The responsibility for the funding offers published on this website, including the funding description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.