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two phd fellows in computer science

two phd fellows in computer science

Denmark 05 Jan 2021
University of Copenhagen

University of Copenhagen

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OPPORTUNITY DETAILS

Total reward
0 $
Nonprofit organization
Area
Host Country
Deadline
05 Jan 2021
Study level
Opportunity type
PhD
Specialities
Opportunity funding
Full funding
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

Department: Department of Computer Science
University of Copenhagen

Department of Computer Science, Faculty of Science at the University of Copenhagen is offering two PhD scholarships in Machine Learning in Medicine commencing 01.03.2021 and 01.06.2021, repectively or as soon as possible thereafter.

Description of the scientific environment
The PhD projects will be hosted by the IMAGE section, which performs research in medical image analysis, machine learning, and computer vision. Our section collaborates with main Danish hospitals such as Rigshospitalet and industry partners, so we aim to develop top-level machine learning solutions with a focus on practical applicability.

Dr. Ibragimov is an Assistant Professor at the Department of Computer Science. He has strong collaborative ties with Stanford University USA, MD Anderson Cancer Center USA, University of Ljubljana, and other international institutions. The PhD candidates will likely be asked to spend 3-6 months of his/hers study at one of these institutions.

Project description
Pancreatic cancer is among the deadliest cancers in the world. Currently, surgical removal of a pancreas segment/whole pancreas is the most common treatment for pancreatic cancer. Pancreatic surgery planning is non-trivial as pancreatic tumors are usually very aggressive and rapidly grow into inoperable stages. Up to 40% of patients with pancreatic tumors undergo exploratory surgeries that aim to identify tumor resectability. Some pancreatic tumors can become resectable if the surgery is augmented with chemotherapy. The Ph.D. projects will be about developing artificial intelligence (AI) solutions for assisting pancreatic surgery planning.

The Ph.D. fellows will research how individual steps of pancreatic surgery planning can be augmented with AI. This will include applying AI for pancreatic image analysis, tumor and surrounding tissue segmentation, tumor vascularization estimation, tumor enhancement, etc. The fellows will learn how to apply AI for solving real-life clinical challenges and evaluate and document the obtained result. This work will be executed in close collaboration with the Department of Clinical Medicine, University of Copenhagen.

Principal supervisor is Professor Jon Sporring, Department of Computer Science. Co-supervisor is Tenure Track Assisting Professor Bulat Ibragimov, Department of Computer Science.

Job description
The two positions is available for a 3-year period and your key tasks as a PhD student at SCIENCE are:

  • To manage and carry through your research project
  • Attend PhD courses
  • Write scientific articles and your PhD thesis
  • Teach and disseminate your research
  • To stay at an external research institution for a few months, preferably abroad
  • Work for the department

Formal requirements
Applicants should hold an MSc degree in Computer Science, Mathematics, Biomedical Engineering or other relevant area with good results and good English skills. As criteria for the assessment of your qualifications emphasis will also be laid on previous publications (if any) and relevant work experience.

Terms of employment
The two positions is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

The starting salary is currently at a minimum DKK 331,125 (approx. €43,750) including annual supplement (+ pension at a minimum DKK 53,811). Negotiation for salary supplement is possible.

Application Procedure
The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

  • Cover Letter, stating which PhD project you are applying for and detailing your motivation and background for applying for the specific PhD project. 1-page max.
  • CV
  • Diploma and transcripts of records (BSc and MSc)
  • Acceptance Letter for the relevant MSc Programme at SCIENCE, if any
  • Other information for consideration, e.g. list of publications (if any)
  • 1-3 reference letters (if any)

Reference letters must be uploaded by the applicant him/herself. The recruiting person must NOT  obtain reference letters which content is not known to the applicant him/herself. This is against Danish law.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

The deadline for applications is 5th of January 2021, 23:59 GMT +1.

Applications received after the deadline for applications will not be considered.

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. Afterwards an assessment committee will be appointed to evaluate the selected applications. The applicants will be notified of the composition of the committee and the final selection of a successful candidate will be made by the Head of Department, based on the recommendations of the assessment committee and the interview committee.

The main criterion for selection will be the research potential of the applicant and the above mentioned skills. The successful candidate will then be requested to formally apply for enrolment as a PhD student at the PhD school of Science. You can read more about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/  

Questions
For specific information about the PhD scholarship, please contact Assisting Professor Bulat Ibragimov, Department of Computer Science, email: bulat@di.ku.dk , Phone: +45 3532 8292.

General information about PhD programmes at SCIENCE is available at https://www.science.ku.dk/phd  


Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.


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