2 PhD fellowships in Clinical dentistry – UCPH, Denmark

University of Copenhagen (UCPH)

Denmark

Department of Computer Science (DIKU) and Department of Odontology (IO) invite applicants for two PhD fellowships within the project: “Artificial Intelligence in Dentistry to optimize treatment and predict complications”, at UCPH, Denmark

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General Info

Position: PhD fellowships
No. of Positions: 1
Research Field:
Deadline to Apply: Expired
Joining Date: Mar 01, 2022
Contract Period: 3 Years
Salary: According to Standard Norms

Workplace:
Faculty of SCIENCE
Department of Computer Science
University of Copenhagen (UCPH)
Copenhagen,

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Qualification Details

We are looking for candidates within the field(s) of Computer Science, Mathematics, Biomedical Engineering and dentistry with some degree of clinical experience. Excellent academic performance is expected. Publications and experience in the field of medical image analysis of AI in medicine will be of a great advantage. Proven interest and experience in clinical application of AI within dentistry wil be preferred among the candidates.

To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. Computer Science, Mathematics, Biomedical Engineering, dentistry. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.

Responsibilities/Job Description

  • Carry through an independent research project under supervision
  • Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
  • Carry out dissemination and teaching activities
  • Participate in active research environments, including a stay at another research institution, preferably abroad
  • Teaching and knowledge dissemination activities
  • Write scientific papers aimed at high-impact journals
  • Write and defend a PhD thesis on the basis of your project

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

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Documents Required

  1. Motivated letter of application (max. one page)
  2. Your motivation for applying for the specific PhD project
  3. Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
  4. Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
  5. Publication list (if possible)

About the Project

The PhD students will be developing innovative and practical AI solutions in the field of dentistry. Their  particular responsibilities will be the analysis and pre-processing of dental X-rays, the development of an AI-based algorithm for the segmentation of dental structures, and validation using clinical data from the Department of Odontology. Results have the potential to be published in top journals in the fields of dentistry,  dental imaging and medical image analysis. Within this collaboration, one PhD student will be employed and supervised at DIKU whereas the other will be employed and supervised at IO.

Artificial Intelligence (AI) and machine learning have huge potential for dentistry, but have been used only in a few studies so far.

High precision data can be beneficial for general dental practice and for society as a whole. Merging dental data with other medical databases could provide a complete and individual health profile prior to treatment. AI can provide an immediate validated state-of-the-art interpretation of potential signs of diseases that can inform dentists during examination, diagnostics and treatment planning.

The project is based on the electronic patient file system used at the Department of Odontology, which includes at least 1.5 million digital X-rays, patient data from 270,000 persons and high-quality clinical images covering a 10-year period of patient flows. These unique data are ideal for the application of AI and machine learning in order to improve pre-, intra- and post-treatment data. This project will focus on dental variables on x-rays specifically within the field of cariology (decayed teeth) and endodontics (root treatments) and it will form part of a larger collaborative project covering Big Data in dentistry.

The objectives of the PhD project include extraction of relevant x-ray images, optimizing the images for further data analyses (conversion and pre-processing) as well as labelling dental variables for pathological conditions and sequelae (i.e. carious lesion depths, presence of apical periodontitis, restoration outlines and root fillings). Identical procedures will cover key anatomical landmarks.

The PhD fellows will be expected to participate in the development and use of an artificial deep neural network for automatic segmentation of x-rays of healthy teeth vs. teeth with pathological conditions.

The overall objectives of the project:

  1. Create new information by the development of algorithms to analyse x-rays and clinical data
  2. Contribute to better personalized treatment (precision medicine)
  3. Reduce the number of suboptimal dental treatments.

It is expected that a successful application of AI on dental data will provide an interactive platform enhancing the decision process in general dental practice.

About the Department

Dr. Ibragimov’s group is developing AI methodology in the medical domain and applying this methodology for major clinical challenges. The group is supported by various funding sources including Novo Nordisk Foundation. For more information about the group and the research topics of interest, please consult the following webpage http://bulatibragimov.com/. The group is part of Department of Computer Science, Section of Image Analysis, Computational Modelling and Geometry, Faculty of SCIENCE, University of Copenhagen.

The research in Dr. Bjørndal’s group is focused on finding ways to enhance treatment outcomes within deep carious pathology and endodontic treatment concepts. https://forskning.ku.dk/soeg/result/?pure=da%2Fpersons%2Flars-bjoerndal(b1651900-d544-40fa-9a3d-f0cb7d06697d)%2Fcv.html. The group is part of the Section of Oral Microbiology, Department of Cariology and Endodontics,  Faculty of Health and Medical Sciences, University of Copenhagen.

About the Employer: University of Copenhagen (UCPH)

Note or Other details

Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE and SUND, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.

The terms of employment and salary are in accordance to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.

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Contact details

Associate Professor, Bulat Ibragimov, Department of Computer Science, University of Copenhagen, E-mail bulat@di.ku.dk, Direct Phone +45 35 32 82 92 .

Associate Professor, Lars Bjørndal, Department of Odontology, University of Copenhagen, E-mail labj@sund.ku.dk, Direct Phone +45  35 32 68 14

Advertisement Details: 211-0865/21-2H Two PhD fellowships in Big Data in dentistry - Artificial intelligence and machine learning optimizing detection and segmentation on dental Images

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