> Markdown version of [/jobs/ext/3517398-tenure-track-position-in-statistics-and-machine-learning](https://www.wearedevelopers.com/jobs/ext/3517398-tenure-track-position-in-statistics-and-machine-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Tenure Track Position in Statistics and Machine Learning

- **Company:** Wu
- **Location:** Wien, Austria
- **Salary:** €60,927.0
- **Contract:** Temporary to permanent
- **Skills:** Big Data, Machine Learning
- **Published:** October 1, 2026
- **Apply:** https://www.studentjob.at/stellenangebote/8790381-tenure-track-position-in-statistics-and-machine-learning

## About the Role

You hold a diploma or an MSc as well as a PhD in mathematics, statistics or equivalent.
We expect scientific excellence, documented by publications in internationally recognized journals
and international experience (a PhD from a non-Austrian university or at least one year of working
experience on the postdoc level at a non-Austrian university and a good international network).
First managerial experience (e.g. acquisition and/or management of third-party projects) is an
advantage. German language skills are not a prerequisite, but we expect the willingness to acquire
proficiency in German over time.

## Description

The successful applicant will carry out independent research and supervision activities in the field of
Statistics and Machine Learning at Institute for Statistics and Mathematics which also features a strong
group in Bayesian statistics, see https://www.wu.ac.at/en/statmath/ .

We are particularly interested in researchers whose scientific work focuses on the methodological aspects
of modern statistical techniques and machine learning algorithms and their application to the analysis of
large data sets. A proven interest in applications from the fields of economics, finance or business is an
advantage, but candidates working in other application areas in the fields of social or environmental
science are also encouraged to apply. In line with the Collective Bargaining Agreement, teaching duties
associated with the position initially comprise 4 hours per week; they can be in quantitative education
programs at WU at all levels (bachelor, master and PhD).

A qualification agreement can be concluded after a contract duration of two years (§ 27 of the
Collective Bargaining Agreement). Pursuant to WU's Personnel Development Plan, this position can
only be fixed-term for up to six years. Once all objectives agreed upon in the qualification
agreement have been fulfilled, the employment relationship can be made permanent. Employees
who have successfully completed a qualification agreement are classified as associate professors.
From an organizational regulation perspective they belong to the group of professors. Three years
after successful completion of the qualification agreement, they are entitled to apply for promotion
to full professor according to the By-Laws of WU § 43a., Required submission materials:
a) Cover letter
b) CV (incl. list of publications and talks)
c) Research statement (research interests and future agenda, max. 3 pages)
d) Teaching statement (teaching experience and teaching philosophy)
e) Two reference letters or names from at least two references

Other documents supporting your application may be submitted as well. Please do not submit full papers.


## Related Videos

- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner)
- [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects)
- [Beyond Hiring: Building a Sustainable Talent Acquisition Engine at Deutsche Bahn](https://www.wearedevelopers.com/videos/1856-beyond-hiring-building-a-sustainable-talent-acquisition-engine-at-deutsche-bahn)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)

## Related Articles

- [Austria – the most livable place for software developers?](https://www.wearedevelopers.com/magazine/20-austria-the-most-livable-place-for-software-developers)
- [IT Salaries in Austria](https://www.wearedevelopers.com/magazine/286-it-salaries-in-austria)
- [How to Find Tech Jobs in Vienna](https://www.wearedevelopers.com/magazine/292-how-to-find-tech-jobs-in-vienna)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [10 Highest Paying Jobs in Austria](https://www.wearedevelopers.com/magazine/268-10-highest-paying-jobs-in-austria)
- [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria)