بورسیه دکتری دانشگاه چالمرز سوئد
همانطور که گفته شد ارزش این بورسیه بصورت فول فاند است و به ارزش 37300 کرون سوئد در ماه همراه با مزایای جانبی می باشد.
شرایط و مدارک لازم:
- داشتن مدرک کارشناسی ارشد در یکی از رشتههای فیزیک، ریاضی و علوم و مهندسی کامپیوتر
- ارائه سیوی (شامل اطلاعات تماس دو استاد مرجع)، انگیزهنامه و پایاننامههای کارشناسی و کارشناسی ارشد
نحوه اپلای :
برای کسب اطلاعات بیشتر در مورد این بورسیه می توانید سوالات خود را از طریق ایمیل email@example.com یا firstname.lastname@example.org بپرسید. برای مشاهده بیشتر توضیحات بیشتر در رابطه با این بورسیه تحصیلی می توانید با مراجعه به وب سایت دانشگاه اطلاعات بیشتری را مشاهده نمایید.
- ددلاین میلادی: 9 آگوست 2020
- ددلاین شمسی: 19 مرداد 1399
Vacancies at Chalmers University of Technology
Two PhD student positions in Semi-supervised Learning for Medical Image Analysis
Information about the research groups
One position is placed at the Computer Vision Group and the other at the Signal Processing Group, both at the department of Electrical Engineering. The Computer Vision Group conducts research in the field of automatic image interpretation and targets both medical applications, such as the development of new and more effective methods for analysis, support and diagnostics, as well as general computer vision applications including autonomously guided vehicles, image-based localization, and object recognition. The main research problems include mathematical theory, algorithms and machine learning (deep learning) for inverse problems in artificial intelligence.
The Signal Processing group conducts research in the field of physical and statistical signal and image modelling and inference. We actively pursue research in target tracking, array signal processing, estimation, detection and machine learning. Projects range from development of mathematical theory, method development and applications in the area of perception for autonomous vehicles, radar systems and biomedical devices.
Information about the project
Most recent successes of machine learning have been based on Supervised Learning (SL) methods, fueled by large quantities of parallel compute power and humanly annotated training data. However, that option quickly becomes intractable due to the labour-intensive work of manual annotation, especially for medical image data. Instead, many believe that Semi-Supervised Learning (SSL) will drive the next AI revolution by using vast amount of unlabeled data (and some labeled examples) to discover all concepts and underlying causes that matter when interpreting an image. In this project, we will develop new methods and techniques for SSL and apply it to medically relevant problems where lots of image data is available.
Two medical image domains will be targeted. The first one is based on the SCAPIS study, a population study with collected CT examinations of over 30,000 individuals. These examinations can be used to analyze, for instance, possible atherosclerosis in the coronary arteries, which in turn can predict the risk of myocardial infarction in the future. The second problem concerns automatic analysis and diagnosis of cardiac ultrasound images. Currently, there are 90.000 of so called echocardiographies collected.
A large and continuously growing dataset is linked to the images resulting in a comprehensive characterization of the individuals. These data can be combined with image data for SSL applications and for a deeper understanding of the disease process. The research will be performed in close collaboration with medical researchers from Sahlgrenska Academy at Gothenburg University.
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, both in Swedish and in English. The position generally also includes teaching on Chalmers’ undergraduate level or performing other duties corresponding to 20 per cent of working hours.
Full-time temporary employment. The position is limited to a maximum of five years.
To qualify as a PhD student, you must have a master’s level degree corresponding to at least 240 higher education credits in a relevant field (physics, mathematics or computer science).
The position requires sound verbal and written communication skills in Swedish and English. If Swedish is not your native language, you should be able to teach in Swedish after two years.
Chalmers offers Swedish courses.
Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.
Our offer to you
The application should be marked with Ref 20200309 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)
• 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
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus
• 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: 9th of August – 2020
For questions, please contact:
Professor, Fredrik Kahl
Professor, Lennart Svensson
Information about the department
At the department of Electrical Engineering we value all our co-workers and we know that a variety of personalities and experiences makes the most creative workplaces. We therefore encourage applicants with any genders, backgrounds and abilities.
Our overall ambition is to contribute to a sustainable future. We aim to create a positive impact on the development of society, both environmentally, socially and economically. Research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing, Biomedical engineering and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics, no matter if it involves electricity, electrical signals, optical signals or microwaves. The department is a dynamic and international work environment with about 200 employees from more than 20 countries. We collaborate closely with both national and international academia, industry and medical researchers.
پیشنهاد مطالعه: پرداخت اپلیکیشن فی