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Perspectives for Early Career Scientists

 


With its Early Career Investigator (ECI) program, which includes a tenure option, Helmholtz Munich has established a tool for fast and strategic recruitment of outstanding Early Career Scientists. Attractive 5-year resource packages, intensive grant support and embedding in the vibrant Helmholtz Munich research community enables the Early Career Scientists to develop competitive and visible research profiles in their respective fields and offers them an important opportunity on their career ladder. Within the framework of Helmholtz Munich’s scientific strategy, ECIs are scientifically independent. Training, coaching and mentoring offers support them in their leadership roles.

Early Career Investigator Groups

IDC Diabetes and Cancer
 

  • Maria Rohm
    Tissue Crosstalk in Cancer Metabolism
    Website
     

IDM Diabetes Research and Metabolic Diseases Tübingen
 

  • Reiner Jumpertz-von-Schwarzenfeld
    Bacterial metabolites in diabetes sub-clusters 
    Website
     

HI-MAG Helmholtz Institute for Metabolic, Obesity and Vascular Research Leipzig
 

  • Lucas Massier
    Adipose Tissue Microarchitecture and Metabolism
    Website
     
  • Alexander Jais
    Diet-Induced Metabolic Alterations
    Website
     

  • Bilal Sheikh
    Vascular Epigenetics
    Website

LHI Lung Health and Immunity
 

  • Maja Funk
    Ageing & Environmental Stress in Lung Disease
    Website
     

  • Markus Dieffenbacher
    Experimental Immuno-Oncology
    Website

IFE Functional Epigenetics
 

  • Daphne Cabianca
    Environment and Nuclear Organization
    Website


STB Structural Biology
 

  • Thomas Reis Alderson
    Environment and Nuclear Organization
    Website

IBMI Biological & Medical Imaging
 

  • Daniel Kotlarz
    Artificial Intelligence for Optoacoustics
    Website
     

ICB Computational Biology
 

  • Dominik Jüstel
    Artificial Intelligence for Optoacoustics
    Website

ICB Computational Biology
 

  • Steffen Schneider
    Dynamical Inference
    Website
     
  • Dominik Jüstel
    Artificial Intelligence for Optoacoustics
    Website
     
  • Benjamin Schubert
    Schubert Lab - Translational Immunoinformatics
    Website
     

ITG Translational Genomics
 

  • Daniel Kotlarz
    Decoding molecular disease mechanisms in pediatric inflammatory bowel disease – A systems biology-driven approach
    Website
     

AIH AI for Health
 

  • Francesco Paolo Casale
    Casale Lab -Systems Genetics and Machine Learning
    Website
     
  • Bastian Rieck
    Rieck Lab
    Website
     

Helmholtz AI

    • Shadi Albarqouni
      Albarqouni Lab - Federated Learning in Health Care
      Website
       
    • Vincent Fortuin
      Efficient Learning and Probabilistic Inference
      Website
       
    • Niki Kilbertus
      Kilbertus Lab - Reliable Machine Learning
      Website
       
    • Tingying Peng
      Peng Lab - AI for Microscopy and Computational Pathology
      Website
       
    • Lara Urban
      Urban Lab - Planetary Health
      Website