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PhD Position in AI and Pediatric Data Science - Job Opportunity at Universität Basel

Basel, Switzerland
Full-time
Entry-level
Posted: May 3, 2025
On-site
CHF 47,000-53,000 per year (standard SNSF doctoral salary range in Switzerland)

Benefits

Fully funded 4-year PhD position aligned with SNSF standards
Professional development and conference travel opportunities
Access to unique pediatric healthcare datasets
World-class research facilities and infrastructure
Integration into interdisciplinary research environment
Location in major European life sciences hub

Key Responsibilities

Conduct novel research in AI/ML methods for pediatric healthcare applications
Develop interpretable and explainable AI models for clinical settings
Work on fairness and bias mitigation in medical AI systems
Integrate and analyze multimodal medical data (clinical, imaging, sensor data)
Publish research findings in academic journals and conferences
Collaborate with clinicians and interdisciplinary research teams
Contribute to the BRCCH research community

Requirements

Education

Master's degree in Computer Science, Data Science, Biomedical Engineering, Statistics, or related field

Required Skills

Strong background in AI/ML methods Programming experience in Python Experience with pytorch and weights&biases High-performance cluster computing Fluency in English Strong motivation and curiosity Collaborative spirit
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Sauge AI Market Intelligence

Industry Trends

The intersection of AI and pediatric healthcare represents a rapidly growing field with significant potential for impact and innovation. Healthcare institutions are increasingly seeking AI solutions that can handle complex medical data while maintaining interpretability and fairness. There is a growing emphasis on developing AI systems that can process multimodal medical data, particularly in pediatric settings where data collection presents unique challenges. The focus on explainable AI and bias mitigation reflects the healthcare sector's need for transparent and ethical AI solutions.

Role Significance

Likely part of a small, specialized research group (5-10 members) within larger interdisciplinary research center
Doctoral researcher position with significant autonomy in research direction while working under senior academic supervision

Key Projects

Development of interpretable AI models for clinical decision support Multimodal medical data integration systems Bias detection and mitigation in healthcare AI Clinical validation studies of AI applications

Success Factors

Strong foundation in machine learning theory and practical implementation Ability to bridge technical and clinical domains Excellence in scientific writing and presentation Collaborative approach to interdisciplinary research Self-directed research capabilities

Market Demand

High demand for specialists combining AI expertise with healthcare domain knowledge, particularly in research institutions and medical technology companies

Important Skills

Critical Skills

Advanced machine learning and AI expertise for developing novel healthcare applications Python programming for implementing and scaling AI solutions Statistical analysis skills for clinical data interpretation Communication skills for interdisciplinary collaboration

Beneficial Skills

Knowledge of medical imaging and signal processing Experience with clinical data standards and formats Understanding of healthcare regulatory frameworks Project management capabilities

Unique Aspects

Direct involvement in shaping a new research group's direction and culture
Access to unique pediatric datasets and clinical partnerships
Integration with the Basel Research Centre for Child Health ecosystem
Opportunity to influence the development of AI applications in pediatric healthcare

Career Growth

4-year PhD program with potential for academic or industry transition afterwards

Potential Next Roles

Postdoctoral Researcher in Medical AI AI Research Scientist in Healthcare Clinical Data Science Lead Medical AI Product Manager Healthcare AI Consultant

Company Overview

Universität Basel

The University of Basel is Switzerland's oldest university and a leading institution in life sciences research

Ranked among top 100 global universities with strong research funding and international collaborations
Central player in the Basel life sciences ecosystem, which includes major pharmaceutical companies and research institutions
Academic environment emphasizing research excellence, innovation, and international collaboration
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