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

Job title:

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

Company

Job description

Offer Description

Job description:

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

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

52 Faculty of Chemistry

Working hours: 40 | Collective bargaining agreement: §48 VwGr. A2

Limited until: permanent

Reference no.: 2184

Requirements

Specific Requirements

The position

We seek to appoint a bioinformatician with a high-ranking top publication record in computational mass spectrometry of small and large biomolecules 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, current statistics, including machine-learning strategies and omics methods for spectral interpretation, analysis, and visualization.The University of Vienna has a state-of-the-art infrastructure for mass spectrometry and computing. This includes instruments that carry out low and high-resolution experiments for small and large molecules and allow the analysis of a wide range of molecules – from metabolites to lipids and proteins. In addition, a computer-aided infrastructure is available for metabolic modelling. (Institute website: )

Your academic profile:

• 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.

Additional Information

Benefits

We offer:

• 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

(level A2) and an organisational retirement plan

Work Location(s)

Number of offers available 1 Company/Institute Universität Wien Country Austria City Wien Postal Code 1010 Geofield

Where to apply Website

Contact City

Wien Website

Street

Universitätsring 1 Postal Code

1010

STATUS: EXPIRED

Expected salary

Location

Wien

Job date

Fri, 01 Mar 2024 08:14:47 GMT

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