Health AI Fellows (HAIF) Program
With our newly established Health AI Fellows (HAIF) Program, we focus fostering independent research. Our mission is to empower aspiring early-career postdoctoral scientists with backgrounds in computational, mathematical, or physical sciences by giving them early independence to boldly address critical challenges in computational biomedicine and applied AI in health.
In recent years, computational breakthroughs have revolutionized our understanding of molecular mechanisms and their effect on health and disease. These advancements have reshaped biomedicine by spurring the development of powerful analytical tools, equipping researchers to mine valuable insights from complex biological data. As high-throughput and platform technologies rapidly generate vast amounts of data, they present scale, management, analysis, and interpretability challenges. Yet, the potential of computation, modeling, and AI provides a solution, enabling researchers to explore complex phenomena and gain insights into biological system behavior and pathophysiological developments. Despite great progress, we are barely scratching the surface at what these technologies can achieve.
By combining experimental, computational, and statistical approaches, the HAIF program will empower young scientists to freely explore new frontiers that blend experimental and computational/statistical techniques. Through collaboration with experimental partners in the Munich area and beyond, fellows bring their unique perspectives to tackle significant biological and biomedical challenges, fostering innovation and generating novel solutions.
A strategic approach to technological readiness:
Moving beyond traditional postdoctoral research positions, our fellows join the Computational Health Center (CHC) at Helmholtz Munich upon completing their PhD, and work more independently than traditional postdoc. Health AI fellows are mentored by two CHC principal investigators or a or domain expert from industry or a start-up. Health AI Fellows will have the freedom to focus on developing and/or applying systematic, unbiased, and comprehensive computational strategies to address critical challenges. The goal is not just research for the sake of discovery, but rather a strategic push to elevate developments to a higher technological readiness level.
Nurturing advancements – fellowship packages for essential support:
The HAIF Program provides essential support to fellows in establishing their independent research programs. The package for each fellow consists of their own position, budget for travel, open access publications, access to powerful compute infrastructure, as well as budget for a student assistant. Each fellow will be employed initially for two years, with the possibility of extension. We anticipate that the research pursued by fellows will evolve into self-sustaining initiatives, attracting further funding from federal grants or other sources. Support for screening third-party funding opportunities and preparing grant applications is provided by the Grant Management team at the Computational Health Center
Furthermore, fellows will enjoy full access to Helmholtz Munich’s platforms and core facilities, and will receive mentoring from selected CHC faculty members and external partners, creating a supportive environment conducive to collaborative breakthroughs. They are encouraged to leverage the collaborative environment at Helmholtz Munich by working closely with faculty and research staff, not only in house but also with local universities and additional collaborative partners.
With our newly established Health AI Fellows (HAIF) Program, we focus fostering independent research. Our mission is to empower aspiring early-career postdoctoral scientists with backgrounds in computational, mathematical, or physical sciences by giving them early independence to boldly address critical challenges in computational biomedicine and applied AI in health.
In recent years, computational breakthroughs have revolutionized our understanding of molecular mechanisms and their effect on health and disease. These advancements have reshaped biomedicine by spurring the development of powerful analytical tools, equipping researchers to mine valuable insights from complex biological data. As high-throughput and platform technologies rapidly generate vast amounts of data, they present scale, management, analysis, and interpretability challenges. Yet, the potential of computation, modeling, and AI provides a solution, enabling researchers to explore complex phenomena and gain insights into biological system behavior and pathophysiological developments. Despite great progress, we are barely scratching the surface at what these technologies can achieve.
By combining experimental, computational, and statistical approaches, the HAIF program will empower young scientists to freely explore new frontiers that blend experimental and computational/statistical techniques. Through collaboration with experimental partners in the Munich area and beyond, fellows bring their unique perspectives to tackle significant biological and biomedical challenges, fostering innovation and generating novel solutions.
A strategic approach to technological readiness:
Moving beyond traditional postdoctoral research positions, our fellows join the Computational Health Center (CHC) at Helmholtz Munich upon completing their PhD, and work more independently than traditional postdoc. Health AI fellows are mentored by two CHC principal investigators or a or domain expert from industry or a start-up. Health AI Fellows will have the freedom to focus on developing and/or applying systematic, unbiased, and comprehensive computational strategies to address critical challenges. The goal is not just research for the sake of discovery, but rather a strategic push to elevate developments to a higher technological readiness level.
Nurturing advancements – fellowship packages for essential support:
The HAIF Program provides essential support to fellows in establishing their independent research programs. The package for each fellow consists of their own position, budget for travel, open access publications, access to powerful compute infrastructure, as well as budget for a student assistant. Each fellow will be employed initially for two years, with the possibility of extension. We anticipate that the research pursued by fellows will evolve into self-sustaining initiatives, attracting further funding from federal grants or other sources. Support for screening third-party funding opportunities and preparing grant applications is provided by the Grant Management team at the Computational Health Center
Furthermore, fellows will enjoy full access to Helmholtz Munich’s platforms and core facilities, and will receive mentoring from selected CHC faculty members and external partners, creating a supportive environment conducive to collaborative breakthroughs. They are encouraged to leverage the collaborative environment at Helmholtz Munich by working closely with faculty and research staff, not only in house but also with local universities and additional collaborative partners.