Mission Statement

This doctoral programme intends to provide an internationally competitive scientific training of doctoral students in innovative pharmaceutical, nutritional and sport research.

The school wants to attract motivated students and to guide them towards scientific excellence and independence in a truly unique and dynamic multi-as well as interdisciplinary environment to finally become well-educated, open-minded and responsible graduates. The cohorts trained and supported by the VDS PhaNuSpo are part of the vibrant research environment at the Faculty of Life Sciences and the Centre for Sport Science and University Sports of the University of Vienna.

Your Benefits

  • Co-supervision and mentoring from at least two experts in your field.
  • Low hierarchies and an open door policy.
  • Interdisciplinary exchange in the form of joint courses, seminars, retreats and social events.
  • Additional financial support e.g. in the form of completion or mobility grants.
  • A strong student voice.
  • Dedicated administrative support.

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 News

Awards
 

PhaNuSpo PhD-Student in Sportwissenschaft, Gerald Steindl, wurde mit seinem Forschungsprojekt "SWIM-ASSIST" vom Kuratorium für Verkehrssicherheit ausgezeichnet. Herzliche Gratulation.

Research
 

Beetroot stores particularly high levels of nitrate from the soil. For a long time, the substance was suspected of being carcinogenic.

For this purpose, the Austrian Science Fund FWF is funding the clinical project “Dietary nitrate, vascular function and inflammation” led by nutritionist Oliver Neubauer.

Calls & Opportunities
 

The research group of Prof. Ina Bergheim, Molecular Nutritional Sciences, is looking for support of interdisciplinary research projects in the thematic field of metabolic liver diseases and aging.

Application deadline: 23 July 2024

(Job ID: 2652)

Calls & Opportunities
 

The "Pharmaceutical Biotechnology" research group of Prof. Sergey Zotchev has a vacancy for a PhD position to investigate bacteria isolated from various environmental sources for their ability to biosynthesize novel natural products.

Application deadline: 14 July 2024

(Job ID: 2525)

Defence
 

Thesis title: Machine Learning Approaches for Off-Target and Bioactivity Predictions.

Date & time: Wednesday 10 July 2024, 12:00 CET

Defence
 

Thesis title: Discovery of natural products from actinomycetes bacteria isolated from various environmental sources with conventional and genome mining approaches.

Date & time: Monday 08 July 2024, 13:30 CET

Latest publications


  • more publications: here 

2 Faculties and 3 Degree programmes

45 PIs/Professors