The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and geriatric epidemiology, eating disorders, precision medicine, and biostatistics.

Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb

Do you want to contribute to top quality medical research?

 

Your mission

With 1.1 million new diagnoses every year, prostate cancer (PCa) is the most common cancer in men in developed countries. A key to improving prostate cancer diagnostics and treatment decisions is to reduce inter-pathologists variance. We have shown that the application of convolutional neural networks (CNNs) is a promising approach for achieving this. We are now looking for a postdoc with knowledge in image analysis, digital pathology, and deep learning to work on using CNNs on digital pathology images of prostate biopsies.

The candidate is also expected to supervise PhD students, absorb necessary knowledge on cancer aetiology and to maintain a high level of statistical and machine learning competence with focus on image analysis using AI-methods like convolutional neural networks. This is a position of 2 years.

Questions regarding the role, please contact Martin Eklund. Contact information can be found below.

Your profile

Qualified to be employed as a postdoctor is one who has obtained a doctorate or has equivalent scientific competence. Applicants who have not completed a doctorate at the end of the application period may also apply, provided that all requirements for a completed degree are met before the (intended) date of employment. This must be substantiated by the applicant's main supervisor, director or equivalent.

The ideal applicant should be experienced in image analysis, the development of deep learning models and have a strong interest in prostate pathology, in particular related to Gleason grading and other prognostic markers, such as perineural invasion. Experience from different digital pathology platforms, in particular Philips Ultrafast Scanner, is essential. Further, experience from applications of statistics or machine learning methods in medicine and/or epidemiology are also considered strong merits, together with experience from cross-disciplinary research in a cancer research environment. Strong programming skills are a must and have to include experience from Python and preferably also Tensorflow or PyTorch and Matlab. A PhD degree (or the equivalent) with focus on image analysis, machine learning, statistics, biostatistics, or a closely related field is a merit.

The applicant should also be able to manipulate complex datasets, in particular wholeslide images (WSIs), and have experience from creating and managing databases for such images. Written and spoken fluency in English is essential. Knowledge of Swedish and other Nordic languages is a strong merit, as the position will involve reading of pathology reports and clinical notes, as well as communication with health care staff.

Personal characteristics

The applicant should be highly collegial, and be able to work well in a cross-disciplinary team as well as having the ability to work independently. Further, the applicant should possess exceptional organizational skills, know how to successfully multitask, and should be able to describe past examples of having developed structured approaches to solving unanticipated and complex problems. Excellent oral and written communication skills in English are required, along with experience with writing and publishing research articles in English.

The applicant should have excellent analytical skills, possess curiosity and creativity, and have capacity to take responsibility for research projects. Further, the applicant should have the skill set to be involved in supervision of PhD students, including the necessary communication skills.

What do we offer?

Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote better health for all. At Karolinska Institutet, we conduct innovative medical research and provide the largest range of biomedical education in Sweden. Karolinska Institutet is a state university, which entitles employees to several benefits such as extended holiday and a generous occupational pension. Employees also have free access to our modern gym and receive reimbursements for medical care.


Location:
Solna

 

 

Application

An employment application must contain the following documents in English or Swedish:

  • A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
  • A complete list of publications
  • A summary of current work (no more than one page)

Welcome with your application!

The application is to be submitted through the Varbi recruitment system.

 

Want to make a difference? Join us and contribute to better health for all

Type of employment Temporary position
Contract type Full time
First day of employment According to agreement
Salary Monthly
Number of positions 1
Full-time equivalent 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number STÖD 2-2003/2021
Contact
  • Martin Eklund, martin.eklund@ki.se
  • Carina Olofsson Moreno, carina.olofsson.moreno@ki.se
Union representative
  • Henry Wölling, SEKO, henry.wolling@ki.se
  • Ann Almqvist, SACO, ann.almqvist@ki.se
  • Niklas Andersson, OFR, niklas.andersson@ki.se
Published 27.Apr.2021
Last application date 11.May.2021 11:59 PM CEST

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