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PhD student position in Deep learning for medical image analysis and brain tumor diagnosis

yixiao1987 – Posted on December 1, 2017 at 4:05 am –


At the department of Electrical Engineering research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrifying. 

We offer a dynamic and international work environment with about 200 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society. 

The department provides about 100 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, “Electric Power Engineering”, ”Systems, Control and Mechatronics” and ”Communication Engineering”.

Read more at www.chalmers.se/en/departments/e2


Information about the research group
The Signal Processing Group conducts research on a broad range of topics related to the processing of sensor signals, the fusion of data from multiple sources, as well as the automatic learning from big data. The research focuses on both the fundamentals of signal processing, as well as the applications of the methods to relevant problems. Several research topics are undertaken in collaboration with the industry and university hospital, and we are currently working intensively with the local Sahlgrenska university hospital for medical image analysis using deep learning methods.

Information about the project
This project is about developing machine learning methods for brain image analysis and brain tumor diagnosis, motivated from our research collaborations with the local university hospital. The project aims at investigating machine learning methods, especially effective deep learning methods and architectures, for characterizing brain tumors (e.g., gliomas), using large datasets containing images from different types of scanners (e.g., with/without contrast-enhanced T1/T2-weighted MRIs, FLAIR images) and histologic data.  Effective scanner-information fusion methods will also be investigated for brain tumor classification.   

The focus of the project will be on developing deep learning methods and algorithms that are both effective and robust. This will require knowledge on deep learning, mathematical modelling, image analysis, as well as computer implementation (python programming). You will be expected to apply the developed algorithms to brain image data from several scanners. Furthermore, you are expected to collaborate with several research groups, for example, with medical doctors, some universities/research institutes in USA, Europe, Scandinavian countries, and researchers in Signal Processing and Computer Vision Groups within the department.

Major responsibilities
Your major responsibilities are to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing. The position generally also includes teaching on Chalmers’ undergraduate level or performing other duties corresponding to 20 per cent of working hours.

Position summary
Full-time temporary employment. The position is limited to a maximum of five years.

Qualifications
To qualify as a PhD student, you must have a master’s level degree corresponding to at least 240 higher education credits in electrical engineering, computer science, mathematics or applied physics. For this position, it is an advantage to have a strong background in machine learning/deep learning, image analysis and biomedical engineering.

The position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers also offers Swedish courses to help you in learning the local language.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Ref 20170539 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number) 
• 1-3 pages where you introduce yourself and present your qualifications.
• Previous research fields and main research results.
• Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, eg. TOEFL test results.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 31 December 2017

For questions, please contact:
Professor Irene Gu, irenegu@chalmers.se, +46 31 7721796
Professor Tomas McKelvey, tomas.mckelvey@chalmers.se, +46 31 7728061
Professor Fredrik Kahl, fredrik.kahl@chalmers.se, +46 31 7725057


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