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Position: PhD scholarship in GPU processing for Super Resolution Ultrasound Imaging
Institution: Technical University of Denmark
Location: Kongens Lyngby, Lyngby‐Taarbæk Municipality, Denmark
Duties: The main task is to translate the Matlab based SURE processing framework to a real-time implementation using GPUs. Data from the scanners are acquired at several Gbytes per second, and this should be beamformed and processed by a GPU cluster in real time. The overall goal is to speed up research and finally present the SURE volume in real time. The processing pipeline will be based on our current matrix GPU beamformer, which will be optimized and integrated with a GPU implementation of the SURE processing framework. 3-D visualization will also be conducted by the GPUs to make it easy to navigate the 3-D volumes, which often contain more than 100 Gbytes of data. The full scheme will be implemented on our research scanners and on a Nvidia GPU cluster for use in human trials conducted together with the Department of Radiology at Rigshospitalet, where real-time performance and usability will be highly important
Requirements: Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Experience with HPC and/or GPU programming and digital signal processing is desirable
   
Text: PhD scholarship in GPU processing for Super Resolution Ultrasound Imaging DTU Health Tech Share on Facebook Share on Twitter Share on Linkedin Monday 13 Jan 20 Apply for this job Apply no later than 21 February 2020 Apply for the job at DTU Health Tech by completing the following form. Apply online A 3-year PhD scholarship is available at the Center for Fast Ultrasound Imaging (CFU), Department of Health Technology from March 2020 sponsored by the European Research Council (ERC) and the Department of Health Technology at DTU. It is conducted in collaboration between CFU and the MEMS group at DTU Health Tech, the University of Copenhagen, and the Copenhagen University Hospital (Rigshospitalet) in the ERC Synergy Grant “3-D Super resolution Ultrasound Real time imaging of Erythrocytes” - SURE. The SURE project develops and researches a new super resolution ultrasound imaging method capable of resolving 3-D capillary flow in the human body. The approach tracks the motion of the individual red blood cells (erythrocytes) in a three-dimensional volume for a full visualization of anatomy, flow, and perfusion. The approach can potentially yield a paradigm shift in the scientific study, diagnoses, and treatment of cancer, diabetes, and vascular diseases at the capillary level, as it enables the possibility of volumetrically visualizing capillary perfusion in real-time at frame rates above 20 Hz without injection of contrast agents. Responsibilities and tasks This PhD projects develops real time processing of the acquired data using GPUs. The research is conducted in a truly multi-disciplinary environment consisting of the four academic partners specializing in advanced ultrasound imaging, silicon CMUT probes, animal experiments, and clinical investigations, and the main purpose is to translate the SURE method from a research idea to the clinic. The main task is to translate the Matlab based SURE processing framework to a real-time implementation using GPUs. Data from the scanners are acquired at several Gbytes per second, and this should be beamformed and processed by a GPU cluster in real time. The overall goal is to speed up research and finally present the SURE volume in real time. The processing pipeline will be based on our current matrix GPU beamformer, which will be optimized and integrated with a GPU implementation of the SURE processing framework. 3-D visualization will also be conducted by the GPUs to make it easy to navigate the 3-D volumes, which often contain more than 100 Gbytes of data. The full scheme will be implemented on our research scanners and on a Nvidia GPU cluster for use in human trials conducted together with the Department of Radiology at Rigshospitalet, where real-time performance and usability will be highly important. Qualifications Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Experience with HPC and/or GPU programming and digital signal processing is desirable. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and appointment terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information is available at www.cfu. dtu.dk or from Professor Jørgen Arendt Jensen, tel: 45 4525 3924, e-mail: jaje@dtu.dk . Please do not send applications to this e-mail address, instead apply online as described below. You can read more about Department of Health Technology on www.healthtech.dtu.dk and about CFU at www.cfu.dtu.dk/ . Application Please submit your online application no later than 21 February 2020 (23:59 local time) . Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file . The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here ) Candidates may apply prior to obtaining their master's degree but cannot begin before having received it. Applications and enclosures received after the deadline will not be considered. All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. DTU Health Tech engages in research, education, and innovation base on technical and natural science for the healthcare sector. The Healthcare sector is a globally expanding market with demands for the most advanced technological solutions. DTU Health Tech creates the foundation for companies to develop new and innovative services and products, which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.
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