PhD Position in Epigenetics, Bioinformatics, and AI Focused on Multiple Sclerosis, Karolinska Institutet, Sweden

Summary

Karolinska Institutet is offering a fully funded, 4-year PhD position within the prestigious Wallenberg national program for Data-Driven Life Science (DDLS) research school. Led by Professor Maja Jagodic, the successful candidate will integrate genetic, epigenetic, and clinical data using advanced bioinformatics and interpretable AI models to combat Multiple Sclerosis (MS). This role bridges the gap between high-performance data science and life-saving clinical medicine in a world-class collaborative network.

Key Information

Job Description & Duties

As a doctoral student in this project, your core responsibilities will include:

• Analyzing large-scale omics, genetic, and epigenetic datasets.
• Designing, developing, and implementing computational statistical methods and interpretable AI/machine learning models.
• Contributing to the identification of biological markers and molecular mechanisms associated with MS disease progression.
• Actively participating in scientific writing, presentations, postgraduate courses, and the broader activities of the DDLS graduate school.

Eligibility & Qualifications

A) Academic Requirements (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 qualification (e.g., a Master’s degree).
2. Have completed at least 240 higher education credits (ECTS), with at least 60 credits earned at the advanced/Master’s level.
3. Have acquired equivalent knowledge through other means in Sweden or abroad.

B) Specific Requirements & Skills

• Education: A Master’s degree in computational biology, data science, bioinformatics, or a related field.
• Technical Skills: Strong programming skills in Python, R, and Linux-based software (or similar). Familiarity with basic statistical analysis concepts.
• Advanced Computing: Experience with modern machine learning/deep learning frameworks and parallel computing using high-performance clusters (like UPPMAX) and GPUs.
• Language: High proficiency in spoken and written English (equivalent to the Swedish upper secondary school course English 6/English B).
• Preferred (Advantageous): Experience in genetic/omics data analysis and visualization, network theory applications, and previous work within international consortia.
• Soft Skills: Strong communication skills, flexibility, a collaborative mindset, and a commitment to maintaining a friendly work environment.

How to Apply

Applications must be submitted electronically through the Varbi recruitment portal.

1. Navigate to the official Karolinska Institutet Application Portal.
2. Click the “Login and apply” button in the top right corner.
3. Ensure your application contains the following required documents (preferably in English):
   • A Curriculum Vitae (CV).
   • A genuine personal letter composed without AI assistance (noting that non-AI drafted letters can favorably impact final rankings).
   • Degree projects and previous publications (if any).
   • Official documentation certifying both your general and specific eligibility requirements.

Last Date for Application

📅 August 9, 2026

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