Job opportunity Project staff member (PhD Position) at Wirtschaftsuniversität Wien Jobportal

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Wirtschaftsuniversität Wien

Wien, 1020

Teilzeit

BALDIGER BEWERBUNGSSCHLUSS

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You want to understand how things are connected and make a fundamental impact? We offer an environment where you can realize your full potential. At one of Europe’s largest and most modern business and economics universities. On a campus where quality of work is also quality of life. We are looking for support at the

Institute for Complex Networks
Part-time, 30 hours/week
Starting as soon as possible, and ending after 4 years We are seeking highly motivated and talented individuals to join our dynamic research team for combining symbolic and sub-symbolic AI. The successful candidates will conduct research at WU in collaboration with our partner institutes Johannes Kepler University Linz, AAU Klagenfurt, ISTA, TU Graz, and TU Vienna. The vision of Bilateral AI is to educate a new generation of top-quality AI scientists with a holistic view on symbolic and sub-symbolic AI methods. Training and mentoring of young researchers is a central activity, which combines groundbreaking research work with an education program. The training will be distributed over the six participating institutions.

What to expect

PhD students will be trained within the Bilateral AI Doctoral School. Joint seminars, scientific workshops, and compulsory courses outside the PhD students’ research fields will also be designed to encourage interdisciplinarity. Apart from that, students will be involved in grant applications, conference organization, Bachelor and Master student supervisions, and teaching. Each student will be supervised by two experienced and internationally renowned professors with different research fields (symbolic / sub-symbolic AI). The training will also provide a career development program, advice and support for students with innovative business ideas, and workshops for presentation and soft skills. Proposed Project:
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

Applicants for the Ph.D. position must have a master’s degree, which entitles them to enroll for a PhD program, in one of the following subjects: computer science, information systems, business informatics (or a related field of study) with solid practical & theoretical foundations in at least one of the following topic areas:

data science
knowledge representation & reasoning
databases
distributed systems and decentralized computing
semantic web
software engineering
graph theory/graph databases

We expect excellent study results, technical knowledge of programming languages such as C++, Java or Python, structured data formats such as JSON, XML and RDF, and query languages such as SQL, SPARQL, or graph query languages, etc. as well as proficiency in English. Do you want to join the Institute for Complex Networks and the BILAI network? Then please submit your application. The following documents must be submitted (in English) by the call deadline: 1. Letter of motivation (detailing previous research achievements, research goals, career plans); 2. A complete CV, including a list of previous scientific expertise, awards, grants, stays abroad, attended lectures, attended summer schools, attended workshops, skills, and publications (if applicable); 3. Abstract in English of the applicant’s MSc thesis, BSc thesis, or of a research project; 4. A complete list of completed studies and transcripts of all grades; 5. Two academic recommendation letters; 6. Proof of proficiency in English (usually TOEFL/IELTS/CAE). By submitting your application, you agree with your application being shared also with members of the BILAI admission committee from other partner universities in the BILAI network. We are looking forward to hearing from you! If you have any questions regarding the position or application documents prior to application, don’t hesitate to contact me for further information at Dr. Sabrina Kirrane sabrina.kirrane[at]wu.ac.at with the subject: "[BILAI Praedoc position]".

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

Curious? Visit our website and find out more at www.wu.ac.at/benefits

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 January 08, 2025 (ID 2254).
We are looking forward to hearing from you!

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