Project staff member (PhD Position)
- Vienna University of Economics and Business
- Research, development, teaching
- Part time
- published till: 11.12.2024
Institute for Complex Networks
Part-time, 30 hours/week
Starting January 01, 2025, and ending after 4 years
What to expect
Given that machine learning (ML) systems are increasingly being applied to and trained on user-generated data, data protection has become a crucial component of trustworthy and ethical ML systems. However, in this context, adhering to data protection principles is particularly challenging, as ML algorithms are often opaque and could potentially infer confidential information during the training process. The proposed PhD project aims to extend both the symbolic and the sub-symbolic state of the art. The goals are threefold: (i) to provide guarantees that ML models trained on KGs adhere to privacy policies; (ii) to develop new ML algorithms that are privacy preserving; and (iii) to develop methods with practical relevance as well as provable guarantees, which we will actively promote as tools, towards standard-compliant and more trustworthy AI systems.
What you have to offer
- data science
- knowledge representation & reasoning
- databases
- distributed systems and decentralized computing
- semantic web
- software engineering
- graph theory/graph databases
What we offer you
- Inspiring campus life with over 2,400 employees in research, teaching, and administration and approximately 21,500 students
- A modern campus with spectacular architecture in the heart of Vienna
- Excellent accessibility by public transportation
- Meaningful work in an open-minded, inclusive, and family-friendly environment
- Flexible working hours
- A wide range of benefits, from an in-house medical officer to athletic activities and a meal allowance to a variety of employee discounts
The minimum monthly gross salary amounts to €2,684.10 (14 times per year). This salary may be adjusted based on job-related prior work experience. In addition, we offer a wide range of attractive social benefits.
Do you want to join the WU team?
Then please submit your application by December 11, 2024 (ID 2254).
We are looking forward to hearing from you!