Steffen Waldherr

Ass.-Prof.

Universität Wien
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Austria

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Steffen Waldherr is an Assistant Professor at the University of Vienna, Austria. His research interests include dynamic bioreactor modeling, metabolic interaction networks, and the impact of natural variations in root exudates on nitrification inhibition. He has contributed to various articles focusing on the production of polyhydroxybutyrate from methane, the dynamics of nitrifier microcolonies, and innovative approaches in chemical engineering education.

Positions (1)

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Mohamed El-Shazly

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University of Vienna

PhD Positions in AI-Powered Personalized Nutrition, Multi-Omics, Microbiome Science, and Behavioral Science at University of Vienna

University of Vienna is recruiting PhD students for the AI-powered Personalized Nutrition (AIPN) research platform. These positions sit at the intersection of biology , computer science , and public health , with strong links to multi-omics , metabolomics , microbiome science , machine learning , AI-based modeling , nutritional physiology , and psychology/behavioral science . There are multiple open topics with different supervisors: Wolfram Weckwerth (multi-omics, metabolomics, clinical studies), Steffen Waldherr (machine learning for personalized nutrition), Karl-Heinz Wagner (nutritional physiology and personalized nutrition), Laura König (psychology and behavioral science), and David Berry (microbiome science). The projects involve conducting research within the AIPN framework, designing and performing nutritional intervention studies or laboratory experiments, generating and analyzing metabolomics and other multi-omics datasets, developing predictive models for individual nutritional responses, and publishing results in peer-reviewed journals. Students will also supervise junior students and collaborate in an interdisciplinary team. Eligibility is broad but requires a completed Master’s degree or equivalent in a relevant field. Preferred backgrounds include biochemistry, molecular biology, systems biology, nutrition science, food science, public health, metabolomics, proteomics, microbiome research, computer science, data science, machine learning, AI, biomedical/medical sciences, bioinformatics, computational biology, biotechnology, psychology, behavioral science, and human-computer interaction. Strong motivation for interdisciplinary research and excellent communication skills are emphasized. For some roles, very good English is required; German is helpful but not mandatory. The positions are based at the University of Vienna and are offered as employment contracts for 4 years (initially limited to 1.5 years, then extendable). The workload is 30 hours per week . The announcement does not specify a stipend amount, but it is a funded PhD employment opportunity rather than a self-funded call. Applications should be submitted via the University of Vienna PhD application platform under the STEM Call: Doctoral Positions in the Life Sciences and Natural Sciences . Applicants should indicate the topic/supervisor they are applying for. Questions may be directed to the individual supervisors by email. For the David Berry project, candidates are asked to contact him directly by email because that position is not listed on the STEM call.

Articles (18)

Collaborators (11)

Melina Kerou

Universität Wien

AUSTRIA

Benjamin Horemans

Assistant Professor

KU Leuven

BELGIUM

Fred Schaper

Professor

Otto-von-Guericke Universität Magdeburg

GERMANY

Wolfram Weckwerth

Univ.-Prof.

Universität Wien

AUSTRIA

Siegfried Mercelis

Assistant Professor & Program Manager Adaptive Intelligence

University of Antwerp

BELGIUM

Peter Hellinckx

University of Antwerp

BELGIUM

Kristel Bernaerts

Prof. dr. ir. at KU Leuven

KU Leuven

BELGIUM

Jana Schwarzerová

Brno University of Technology

CZECH REPUBLIC

Anna Dittrich

-

GERMANY

Cesar Nieto

University of Delaware

UNITED STATES

Mumin Enis Leblebici

Assistant Professor

KU Leuven

BELGIUM
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