Fully Funded PhD Position in Epigenetics, Bioinformatics & AI at Karolinska Institutet, Sweden

Position Overview

• Designation: Doctoral (PhD) Student
• Research Area: Epigenetics, Bioinformatics, and AI Focused on Multiple Sclerosis
• Location: Stockholm, Sweden (Karolinska Institutet, Department of Clinical Neuroscience)
• Last Date to Apply: August 9, 2026

Position Summary

This full-time doctoral position offers a unique opportunity to contribute to top-quality medical precision medicine. Hosted by the research group of Professor Maja Jagodic and integrated into the Data-Driven Life Sciences (DDLS) Research School, the project aims to advance the molecular understanding of Multiple Sclerosis (MS) progression. The successful candidate will combine genetic, epigenetic, and clinical data using advanced bioinformatics and AI-based analytical approaches in an interactive, international research environment.

Quick Facts

Job Description & Key Duties

As a doctoral student, you will devote yourself to a translational research project under the supervision of experienced researchers following an individual study plan. Your primary responsibilities will include:

• Analyzing large-scale omics datasets.
• Developing, implementing, and applying statistical methods and interpretable AI/machine learning models.
• Identifying biological markers and molecular mechanisms associated with MS disease progression.
• Actively participating in (and eventually leading) project design, scientific writing, and presentations.
• Attending postgraduate courses and participating in national DDLS graduate school activities.

Eligibility & Qualifications

A) General Eligibility

To qualify for doctoral education in Sweden, you must meet one of the following by the application deadline:

1. Hold a second-cycle/advanced/Master’s qualification (Master’s degree), OR
2. Have completed course requirements of at least 240 credits (ECTS), of which at least 60 credits were awarded at the advanced/Master’s level, OR
3. Have acquired substantially equivalent knowledge in Sweden or abroad.

B) Specific Eligibility & Technical Skills

• Language: High proficiency in spoken and written English (equivalent to English 6/English B at Swedish upper secondary school).
• Education: A Master’s degree in computational biology, data science, bioinformatics, or a related field.
• Programming: Strong programming skills in Python, R, and Linux-based software.
• Technical Experience: Proficiency with modern machine learning/deep learning frameworks, high-performance parallel computing (e.g., UPPMAX), and GPUs.
• Desirable (Advantageous): Experience in genetic/omics data analysis, visualization, network theory applications, and working within international consortia.

Note on Personal Qualities: The group seeks a creative, hardworking, and enthusiastic team player with strong communication skills who is committed to maintaining a friendly and productive work environment.

How to Apply

Applications must be submitted electronically through the Varbi recruitment system by clicking the application link on the official portal.

Your application package must contain:

1. A personal letter (Note: A genuine personal letter composed without AI assistance can favorably impact evaluation).
2. A Curriculum Vitae (CV).
3. Degree projects and previous publications (if any).
4. Documents certifying General eligibility (Degree certificates/transcripts).
5. Documents certifying Specific eligibility (English language proficiency verification).

For more detailed information regarding the department or the network, you can Read more about the Department of Neuroscience here or explore the project network through the main Karolinska Institutet application portal.

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