PhD Candidate in Computerized Image Processing with a Focus on Tissue Sample Analysis

Project Description

Within the project, the successful candidate will conduct fundamental research and method development to design and implement new computational models and solutions.

A solid theoretical background and practical experience in digital image processing and deep learning are important. A successful candidate should also have a strong interest in collaborating with researchers in the life sciences and learning more about pathology and tissue analysis.

The project is funded by a grant from the Swedish Research Council.

Job Responsibilities

The PhD candidate will primarily focus on their own doctoral education. Other duties at the department, including teaching and administrative work, may be included within the scope of the employment (max 20%).

Qualification Requirements

Eligibility for doctoral education is regulated by the Higher Education Ordinance. Basic eligibility is met by those who:

• have obtained a degree at an advanced level in computer science, engineering, data analysis, applied mathematics, machine learning, or another related field; or
• have completed at least 240 higher education credits, of which at least 60 higher education credits at an advanced level, including an independent project of at least 15 higher education credits, or
• have acquired equivalent knowledge in some other way.

The university may grant exceptions from the requirement for basic eligibility for an individual applicant if there are special reasons. (Chapter 7, Section 39 of the Higher Education Ordinance). For specific eligibility, see the syllabus for the subject.
Computerized Image Processing (https://www.uu.se/medarbetare/fakultet/teknisk-naturvetenskapliga/utbildning-och-undervisning/utbildning-pa-forskarniva/amnen-och-studieplaner/amnen/datoriserad-bildbehandling)

We are looking for candidates with:

• A solid understanding of computations and analysis, along with a strong academic background;
• A strong interest in thoroughly understanding the nature of existing methods and systems, both theoretically and practically;
• Proficiency in programming in Python and deep learning frameworks such as PyTorch and TensorFlow;
• Excellent communication skills in both spoken and written English;
• Creativity, attention to detail, and a structured approach to problem-solving;
• Good collaboration skills, drive, and independence.

Desirable/meritorious

Experience working with digital images, and more specifically microscopy images and life science data, is meritorious.

Regulations for doctoral students can be found in the Higher Education Ordinance Chapter 5, Sections 1-7, as well as in the university's rules and guidelines.
Rules and Guidelines (https://regler.uu.se/?languageId=3)

Application

The application should include:

• A CV.
• Degree certificates and transcripts with grades (with course names translated into English or Swedish), and, if possible, indicated ranking/percentile within the degree class or a similar large comparison group in the CV.
• A cover letter (maximum one page) that includes:
• Your motivation for applying for this position
• Earliest possible start date (with reasons if applicable)
• A short bullet list of three main academic or scientific achievements.
• (Optional) Additional explanations that the applicant may wish to clarify (e.g., limited experience in a qualification area, gaps between degrees, or academic delays) or other comments, if any.
• A writing sample, e.g., master's thesis (or a draft) or other self-produced scientific text. For contributions to joint publications, include a list in the CV with links to publications online and attach the publication where the applicant made the largest contribution as an additional writing sample.
• Contact information (name, email addresses, and phone numbers) for at least two references, indicating the context, duration, and nature of the relationship to the candidate. Reference letters may be attached as supporting documents but are not a requirement at the time of application.

Please note that this is a shortened version of the advertisement. To see the full advertisement, please click on “Apply here” or visit Uppsala University's website: Apply here (https://uu.se/jobb/)

About the Employment

The employment is temporary, according to HF Chapter 5, Section 7. The extent is full-time. Start date September 1, 2025, or by agreement. Place of employment: Uppsala.

For inquiries about the position, please contact: Carolina Wählby, Professor at the Department of Information Technology, carolina.wahlby@it.uu.se (mailto:carolina.wahlby@it.uu.se)

Welcome with your application by April 30, 2025, UFV-PA 2025/946.
Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the most exciting workplaces in the country.

Read more about our benefits and what it is like to work at Uppsala University
Work with us (https://uu.se/om-uu/jobba-hos-oss/)

The employment may be subject to security clearance. A condition for employment is that the applicant is approved during the security clearance.

We kindly decline offers of recruitment and advertising assistance.

Applications are received in Uppsala University's recruitment system.