About this role
KTH Royal Institute of Technology in Stockholm is the largest and oldest technical university in Sweden. No less than one-third of Sweden’s technical research and engineering education capacity at university level is provided by KTH. Education and research spans from natural sciences to all branches of engineering and includes Architecture, Industrial Management and Urban Planning. There are a total of 12,400 full year students at first and second levels, almost 1,900 active (at least 50 per cent) research students and 5,100 employees.
KTH Technology and Health is located in Haninge, Flemingsberg and Solna. Our programs in Bachelor of Science in Engineering cover subjects, like Computer-, Electrical and Medical Engineering. We are also responsible for a programme in Master of Science in Engineering, Medical Engineering. In addition, we offer masterprogrammes and doctoral studies (PhD) in Technology and Health and Applied Medical Technology. Our research is multidisciplinary and spans the field of Technology and Medicine, in a broad sense, which includes technical and organizational research. The focus of research is on Medical Technology, Logistics, Design and Ergonomics that restrict and prevent injury and promote health. KTH Technology and Health has 175 employees and an annual revenue of SEK 200 million.
The units of Medical imaging and Medical image processing and visualization conduct research in the frontier area of technology and medicine, focusing on technical development of new methods and improvement of existing methods for more efficient, safer and cheaper diagnostics, monitoring and treatment in health care. The main area of research concerns medical imaging systems and analysis of medical image data within ultrasound, MRI, CT and nuclear imaging. The close contact with health services, through collaboration with Karolinska University Hospital, Stockholm County Council and Karolinska Institute, means that each research project is based on a clinically relevant question and the development of technical solutions is integrated with the health system.
The duration of the post as postdoctor is 18 months.
Job description
Osteoporosis is a disease of trabecular bone leading to a loss of its mechanical competence. Our group has in the last few years developed advanced methods for analyzing trabecular bone structure from images acquired in vivo (CBCT and HR-pQCT) and in vitro (micro-CT), including different histomorphometric parameters in gray-scale, different fabric tensors and classification of different types of trabeculae. Following this line, the selected applicant will develop new methods for analysis of trabecular bone and cortical bone from these images with a special focus on efficiency in order to make it suitable for clinical use. The selected applicant will also be involved in validation of these methods in clinical and pre-clinical studies. He or she will also be involved in validating the new methods by correlating them with mechanical data obtained through FEM simulations.
Company:
KTH Royal Institute of Technology
Qualifications:
The candidate must hold a PhD, or be in the process of obtaining it, in the field of image processing or related areas. Strong programming skills in C/C++/Python and GPU programming are required. Experience with medical image analysis is desirable. Experience with FEM simulations is a plus. Applicants must be strongly motivated for postdoctoral studies, possess the ability to work independently and perform critical analysis and also possess good levels of cooperative and communicative abilities. A strong publication record in international journals and conferences is required.
Language requirements:
The candidates should have excellent skills in spoken and written English.
Specific requirements:
The duration of the post as postdoctor is 18 mounths.
Educational level:
Ph. D.
How to apply:
Please mention NLP People as a source when applying
https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:62110/where:4/