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OPEN POSITIONS PhD position in Medical Science - Automatic lesion detection in brain images

Project title: Automatic lesion detection in brain images

Job assignments

General information about third-cycle studies: The PhD education in Medical Science corresponds to studies of 240 credits in total. The studies are equivalent to four year full-time and lead to a Degree of Doctor. The studies comprise carrying out a scientific project and completing at least 30 credits of courses at third-cycle level. The doctoral student must also write a scientific compilation thesis or monograph corresponding to at least 120 credits. For more information about third-cycle studies at Sahlgrenska Academy, see http://sahlgrenska.gu.se/english/doctoral-student-portal/from-admission-to-defending-your-thesis/phd-subjects/

Project: Modern imaging methods are increasingly used in clinical practice to produce images that represent human anatomy, physiology, and abnormalities of both. Visual image interpretation is subjective and often challenging. At the Medical Image Analysis Group at GU/MedTech West, we aim to develop automatic methods to extract objective information from images that can complement and support conventional visual image interpretation. A core concept we use is atlas-based anatomical image segmentation: using a database of expert knowledge (manually created atlases) to delineate anatomical structures on a target (patient) image.

We have developed open-source software (MAPER and pincram) that implements this concept for magnetic resonance images of the brain. A current limitation of this software is that it does not address situations where abnormal new structures (such as tumours or bleeding) appear in the patient image. These are not normally represented in the atlases, and are therefore frequently mislabelled. Addressing this problem will potentially lead to novel applications of automatic image analysis: decision support in the management of stroke, quantitative monitoring of recovery after head injury or brain surgery, objective evaluation of the changes caused by brain tumours and brain cancer treatment, measurement of disease progression in multiple sclerosis, seizure focus identification in epilepsy, and many others.

The goal of this project is to develop the capability of automatically detecting and measuring lesions and to validate it on real-world imaging data that we will access through collaborations with clinical experts in the relevant diseases.

Eligibility

To be eligible for third-cycle studies, the applicant must meet both the general and specific entry requirements.

A person meets the general entry requirements for third-cycle studies if he or she:
1. has been awarded a second-cycle qualification
2. has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or
3. has acquired substantially equivalent knowledge in some other way in Sweden or abroad

A person meets the specific entry requirements for third-cycle studies if he or she: has successfully completed the English B/6 course or is considered to have acquired equivalent knowledge through previous studies

Assessment

In selecting between applicants who meet the general and specific entry requirements, their ability to benefit from third-cycle studies shall be taken into account. The assessment shall attach particular importance to documented qualifications for:
- specific knowledge and skills within the subject area and related research fields
- experience of scientific theory and relevant research methodology
- scientific analysis and presentation verified through thesis, degree project, scientific journals or the like.

Documented skills/experience in programming for image analysis, familiarity with analytical concepts such as image registration and segmentation as well as knowledge in machine learning and statistical evaluation will be advantageous.

Employment

Time limited employment (temporary), 4 years. Extent: 100%. Location: Sahlgrenska Academy, Institute of Clinical Sciences, Department of Radiation Physics. First day of employment: as agreed.

Regulations for employment of doctoral students are given in SFS 1998:80. Only those who are admitted to third-cycle studies may be appointed to doctoral studentships. Those appointed to doctoral studentships shall primarily devote themselves to their studies. They may, however, work to a limited extent with educational tasks, research and administration according to the regulations.

The initial appointment may apply for no longer than one year. An appointment may be renewed for no more than two years at a time. The total employment period may not exceed the time corresponding to full-time third-cycle studies for four years.

Salaries for doctoral students are regulated in a local agreement at the University.

For further information regarding the position

For more information about the project please contact the project supervisor, Rolf Heckemann, rolf.heckemann@gu.se

For more information regarding PhD education at Sahlgrenska Academy visit http://sahlgrenska.gu.se/english/doctoral-student-portal/

Unions

Union representatives at the University of Gothenburg: http://www.gu.se/english/about_the_university/job-opportunities/union-representatives

How to apply

In order to apply for a position at the University of Gothenburg, you have to register an account in our online recruitment system. Attach verified copies of your education and English proficiency proving your eligibility. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline. The selection of candidates is made on the basis of the qualifications registered in the application.

Closing date 2017-12-20

The University of Gothenburg promotes equal opportunities, equality and diversity.

Applications will be destroyed or returned (upon request) two years after the decision of employment has become final. Applications from the employed and from those who appeal the decision will not be returned Translational research targeting inflammation to promote metabolic health.

The University of Gothenburg tackles society’s challenges with diverse knowledge. 38 000 students and 6 000 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.

Page Manager: rekrytering@gu.se|Last update: 2/23/2017
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