PhD scholarship in Deep Learning for Super Resolution Ultrasound Imaging

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

PhD scholarship in Deep Learning for Super Resolution Ultrasound Imaging

Organization: 
DTU Health Tech
Country of Position: 
Denmark
Contact Name: 
Jørgen Arendt Jensen
Subject Area: 
Applies to General Signal Processing
Start Date: 
September 22, 2021
Expiration Date: 
October 07, 2021
Position Description: 

A 3-year PhD scholarship is available at the Center for Fast Ultrasound Imaging (CFU), Department of Health Technology (DTU Heath Tech) from December 2021 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 qualifications

This project investigates methods for processing ultrasound data based on deep learning for super resolution imaging. It further develops deep learning algorithms for isolating point targets, for tracking and visualizing them, and for estimating their velocity in 2D and 3D. The algorithms should be adapted to data from row-column arrays for 3D imaging and implemented for real time processing. The training and processing will be conducted on our latest GPU cluster based on the Nvidia Volta chip.

The research is conducted in a truly multi-disciplinary environment consisting of the 4 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.

You must 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 digital signal processing is desirable. Similarly, knowledge of medical imaging and acoustics will also be beneficial.

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.

You can read more about DTU Heath Tech on www.healthtech.dtu.dk/english and about CFU at www.cfu.dtu.dk/

Application

Your complete online application must be submitted no later than 7 October 2021 (local time).

Apply online here:
PhD scholarship in Deep Learning for Super Resolution Ultrasound Imaging.

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)

You may apply prior to ob­tai­ning your master's degree but cannot begin before having received it.

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. The department has a scientific staff of about 210 persons, 130 PhD students and a technical/administrative support staff of about 160 persons, of which a large majority contributes to our research infrastructure and related commercial activities.

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 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

 

SPS on Twitter

  • The Brain Space Initiative Talk Series continues on Friday, 29 October when Dr. Selin Aviyente presents "Cross-Freq… https://t.co/Jxgu2soJCc
  • Join the Brain Space Initiative for another virtual mixing event on Wednesday, 27 October! Grab a coffee and meet w… https://t.co/KA3kuPUGw0
  • We're proud to sponsor a new journal, IEEE Transactions on Quantum Engineering, publishing regular, review, and tut… https://t.co/cZskrh9cvX
  • We are now seeking mentors and students for the launch of a new initiative, Mentoring Experiences for Underrepresen… https://t.co/i9SarNyKm9
  • This Wednesday, 13 October, join the Women in Signal Processing Committee for an IEEE Day webinar, "Promoting Diver… https://t.co/HrtVGqpwFx

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar