PhD Position in Karolinska Institutet Sweden

PhD Student Position in Artificial Intelligence for Breast Cancer Translational Research at Sweden Mar 2022

Sweden

Doctoral (Ph.D.) student position in artificial intelligence for breast cancer translational research is available for master degree candidates in artificial intelligence, machine learning, medical research at the research group of Professor Jonas Bergh at the Department of Oncology-Pathology, Karolinska Institute, Sweden Mar 2022

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General Info

Position: PhD
No. of Positions: 1
Research Field: , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 4 Years
Salary: According to standard norms

Workplace:
Research group of Professor Jonas Bergh, Department of Oncology-Pathology

Karolinska Institute (KI), Sweden

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Qualification Details

Eligibility requirements for doctoral education

In order to participate in the selection for a doctoral position, you must meet the following general (A) and specific (B) eligibility requirements at latest by the application deadline.

It is your responsibility to certify eligibility by following the instructions on the web page Entry requirements (eligibility) for doctoral education.

A) General eligibility requirement You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you:

  1. have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or
  2. have satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the advanced/second-cycle/master level, or
  3. have acquired substantially equivalent knowledge in some other way in Sweden or abroad.*

Follow the instructions on the web page Entry requirements (eligibility) for doctoral education.

*If you claim equivalent knowledge, follow the instructions on the web page Assessing equivalent knowledge for general eligibility for doctoral education.

B) Specific eligibility requirement

You meet the specific eligibility requirement for doctoral/third-cycle/PhD education if you:

- Show proficiency in English equivalent to the course English B/English 6 at Swedish upper secondary school.

Follow the instructions on the web page English language requirements for doctoral education.

Verification of your documents Karolinska Institutet checks the authenticity of your documents. Karolinska Institutet reserves the right to revoke admission if supporting documents are discovered to be fraudulent. Submission of false documents is a violation of Swedish law and is considered grounds for legal action.

(A) and (B) can only be certified by the documentation requirement for doctoral education.

Skills and personal qualities

A successful candidate should be highly ambitious and motivated to pursue a 4-year doctoral education. Computational background is requested with strong skills in one or more programming languages (preferably in R and/or Python) and good data management and documentation skills. Previous experience in machine/deep learning and in medical research is a merit. The student should be able to integrate and work together with the rest of the team and have good communication and organizational skills. Good command of the English language, both oral and written, is a requirement.

Responsibilities/Job Description

The student will join the research group of Professor Jonas Bergh at the Department of Oncology-Pathology under the supervision of Associate Professor Theodoros Foukakis. The research activity of the group is in breast cancer, spanning from clinical trials to translational research and molecular biology studies of the disease. The group was recently relocated to the new research building BioClinicum in Solna.

The doctoral student project and the duties of the doctoral student

The project will focus on the development of clinically useful artificial intelligence (AI) tools based on histopathology images, using well-annotated breast cancer patient cohorts. The studies will involve the development of models predictive for the biological properties of the tumors and for the effect of treatment and clinical outcome. The specific tasks include the development of AI models based on Convolutional Neural Networks (CNNs), multi-omic data integration based on deep-learning and integrative machine learning models as well as correlative analyses including survival analysis.

How to Apply?

Application Method: Online Application
Ref. No.: STÖD 2-970/2022

Application Procedure

Submit your application and supporting documents through the Varbi recruitment system. Use the button in the top right corner and follow the instructions. We prefer that your application is written in English, but you can also apply in Swedish.

Your application must contain the following documents:

  • A personal letter and a curriculum vitae
  • Degree projects and previous publications, if any
  • Any other documentation showing the desirable skills and personal qualities described above
  • Documents certifying your general eligibility (see A above)
  • Documents certifying your specific eligibility (see B above)

Selection

A selection will be made among eligible applicants on the basis of the ability to benefit from doctoral education. The qualifications of the applicants will be evaluated on an overall basis.

Karolinska Institutet uses the following bases of assessment:

  • Documented subject knowledge of relevance to the area of research
  • Analytical skill
  • Other documented knowledge or experience that may be relevant to doctoral studies in the subject.

All applicants will be informed when the recruitment is completed.

https://ki.se/en/onkpat/department-of-oncology-pathology

About the Employer:

Note or Other details

Offer

A creative and inspiring environment full of expertise and curiosity. 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 a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. As a doctoral student you are offered an individual research project, a well-educated supervisor, a vast range of elective courses and the opportunity to work in a leading research group. Karolinska Institutet collaborates with prominent universities from all around the world, which ensures opportunities for international exchanges. You will be employed on a doctoral studentship which means that you receive a contractual salary. Employees also have access to our modern gym for free and receive reimbursements for medical care.

Terms and conditions

The doctoral student will be employed on a doctoral studentship maximum 4 years full-time.

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