Tenure-Track Professor in the field of Data Science in Mass Spectrometry-Based Omics

The University of Vienna is internationally renowned for its excellence in teaching and research, and counts more than 7,500 academics from all disciplines. This breadth of expertise offers unique opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective.

At the Faculty of Chemistry at the University of Vienna seeks to appoint a

The position

We seek to appoint a trained bioinformatician with a high-ranking publication record in computational mass spectrometry of small and large biomolecule analysis. The candidate should have a strong background in efficient data structures and algorithms suitable for bioinformatics. A focus will be the development of innovative algorithms for high-throughput identification of molecules, data analysis, and integration. Therefore, the candidate should have profound knowledge of current statistics and omics analysis methods and an understanding of the common fragmentation mechanism of analyzed biomolecules, and current statistics, including machine-learning strategies and omics methods for spectral interpretation, analysis, and visualization. The position focuses purely on in-silico approaches to improve omics sciences.

The University of Vienna has state-of-the-art infrastructure for mass spectrometry and computing. Data will be available from low- and high-resolution mass spectrometry experiments for small and large molecules, allowing the analysis of a wide range of molecules—from metabolites to lipids and proteins. The computing infrastructure provides a compute server for molecular search engines and raw data storage. In addition, a computer-aided infrastructure is available for metabolic modeling.

https://anchem.univie.ac.at/en/

• Doctoral degree/PhD
• Two years of international research experience during or after doctoral studies
• Outstanding research achievements, excellent publication and funding record, international reputation
• Gender and diversity competence
• Experience in designing of and participating in research projects, ability to lead research groups and acquire third-party funding
• Enthusiasm for excellent teaching and supervision at the bachelor's, master's, and doctoral level

We expect the successful candidate to acquire, within three years, proficiency in German sufficient for teaching in bachelor's programmes and for participation in university committees.

• the opportunity to obtain a permanent position and eventual promotion to full professor; the initial contract as Assistant Professor is limited to six years, after positive evaluation of a qualification agreement the contract becomes permanent as Associate Professor; Associate Professors can be promoted to Full Professor through an internal competitive procedure.
• a dynamic research environment
• a wide range of research and teaching support services
• attractive working conditions in a city with a high quality of life
• an attractive salary according to the Collective Bargaining Agreement for University Staff (level A2) and an organisational retirement plan

1. Letter of motivation
2. Academic curriculum vitae
   • education and training (PhD Certificate, PDF)
   • positions held to date
   • career breaks (e.g. relevant parental, family or other care periods)
   • awards and honors
   • commissions of trust
   • previous and current cooperation partners
   • complete list of acquired third-party funding and, if applicable, of inventions/patents
   • list of most important scientific talks (max. 10)
   • teaching and mentoring
   • supervision experience (Master and PhD), if applicable
3. List of publications
   • link to your own publicly accessible ORCID record, with a complete and current publication list
   • three key publications as electronic full text version (PDF, max 30 MB)
4. Research statement
   • most important research achievements (max. 2 pages) and planned future research activities (max. 4 pages)
   • synopsis of three key publications with relevance to the position advertised
   • publication strategy
5. Teaching and supervision statement
   • teaching and supervision concept, including a description of the previous and planned priorities in academic teaching and supervision (max. 2 pages)
   • teaching evaluations (if available, PDF)

tenuretrack.personal@univie.ac.at
Only applications submitted through the link "Apply now" below will be considered.

We look forward to new personalities in our team!
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

Data protection

​Application deadline: 03/18/2025
Reference no.: 3710