[robotics-worldwide] [jobs] PhD / Marie Curie Early Stage Researcher robotics posts available at TUM
andrea.glogger at tum.de
Tue Feb 10 06:05:14 PST 2015
the TU München is currently advertising on open PhD position as part of the ITN BERTI.
Please share this information with any promising candidates interested in undertaking a robotics PhD; successful candidates would be expected to begin the programme as soon as possible.
The successful candidate will be employed by the TU München and registered for a PhD at the University; working on the project. A full training programme has been put together for the cohort of Marie Curie research fellows, as well as secondments with industry and international academic partner.
If you have any questions, please do not hesitate to contact me.
PhD/ Marie Curie Early Stage Researcher: Real-time landmark-based image modality fusion
In cardiology and cardiac surgery several foldable devices are used e.g. for the implantation of heart valves or the closure of orifices and defects in the heart. The aim of this project is to improve the planning and the stability of the optimal patient individual implant position on the basis of preoperative image data. In a first step the relevant anatomical structures should be identified in the image data. By simulating the device structure and its deformation properties the robust insertion of the devices should be improved and the optimal position of deployment should be defined. This will require good programming, image processing and materials understanding. You will be collaborating with a team of experienced scientists and engineers from the MiMed Institute (Prof. Lüth) at TUM and the Micro Structures Integration group at GE. You will have unique access to the latest rapid prototyping hardware, as well as an extensive internal and external network of collaborating sites. The European GE Global Research Center provides excellent infrastructure and insight into the application of cutting-edge research.
Lanzer, P. (2013): Catheter-Based Cardiovascular Interventions: A Knowledge-Based Approach, Springer, Heidelberg, pp. 1 - 1046.
Swaans, M.J. (2013): Mitral Valve Devices. Cardiac Valvular Medicine, Dordrecht: Springer, pp. 187-210.
The applicant should possess a master's degree or equivalent in computer science from a renowned university. The successful candidate is expected to have following interests and preferably also initial experience in these areas: (I) good knowledge in programming, in particular MATLAB, (II) experience in processing of medical images and (III) knowledge in material properties. It is a prerequisite that the applicant has resided during the past three years in total at most one year in Germany.
She/He will become part of the Marie Curie Initial Training Network BERTI and a member of TU München. The program will actively assist the candidate in achieving a doctoral degree. She/He will obtain an interdisciplinary training, a solid knowledge of areas adjacent to the core research filed, as well as business competences. Guest research stays (for several months) at renowned international partner universities are part of the program. Another important aspect of the program is the close cooperation with the industrial partner GE. The payment and the conditions of employment follow the specifications of European Projects at TU München.
TUM is an equal opportunity employer. TUM aims to increase the proportion of women and therefore particularly welcomes applications by women. Applicants with severe disabilities will be given priority consideration given comparable qualifications. The EU provides specific rules for applicants (http://www.mediasres-itn.eu/info/eligibility). Applications will be accepted until February 17th, 2015, or until positions have been filled. Applications should include curriculum vitae, certificates and transcript of BA/MA/Diploma or equivalent degree, summary of the previous work, letter of motivation, proof of fluency in English and names of two references. Please send your application within one pdf-document to andrea.glogger at tum.de<mailto:andrea.glogger at tum.de>
Dr. Andrea Glogger
TUM Graduate School of Information Science in Health
BERTI: Biomedical Imaging and Informatics - European Research and Training Initiative
Technische Universität München | Boltzmannstraße 11 | 85748 Garching b. München | t. +49 89 289 10808 | f. +49 89 289 10805 |
e. andrea.glogger at tum.de<mailto:andrea.glogger at tum.de> | www.berti.tum.de<http://www.berti.tum.de/> | http://gsish.tum.edu<http://gsish.tum.edu/>
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