[AISWorld] PhD Position in Recommender Systems/Data Science at TU Wien

[Neidhardt, Julia]

Dear colleagues,

we are offering a full-time PhD position (40 hours per week) at our newly established Christian Doppler Laboratory for Recommender Systems (https://recsys-lab.at/). The position is dealing with group recommendations, group decision making and social network analysis in the area of fashion recommender systems. Application deadline is Friday, June 10th 2022. Please find further details below.

Best regards,
Julia


PhD Position in Recommender Systems/Data Science

The Institute of Information Systems Engineering, Research Unit of E-Commerce at TU Wien, is offering a full-time PhD position (40 hours per week) at the newly established Christian Doppler Laboratory for Recommender Systems (https://recsys-lab.at/). The position is dealing with group recommendations, group decision making and social network analysis in the area of fashion recommender systems.

The starting date is as soon as possible and we offer up to 3 years of appointment. The workplace will be TU Wien, Favoritenstrasse 9-11/194-04, A-1040 Vienna, Austria. The salary for this position is determined by the Austrian Collective Agreement for university staff (currently at the beginning EUR 3,058.60/month gross, 14 times/year for 40 hours/week). Prior experience may result in higher salary.

Admission conditions:

We are looking for a candidate with a Diploma or Master’s degree in Computer Science or an equivalent program in Austria or abroad, who has strong oral and written communication skills in English. Profound knowledge of one or more of the following research areas are required: recommender systems, user modeling, network science, machine learning and large-scale data analysis.

For further information please contact us at recsys-lab at ec.tuwien.ac.at<mailto:recsys-lab at ec.tuwien.ac.at>.

Application deadline: Friday, June 10th 2022

Application information:

Applications including a motivation letter, a Curriculum Vitae, certificates, grade transcripts (with translation if not in English or German), and, if already available, a link to/a copy of the master thesis should be submitted as PDF files via email to recsys-lab at ec.tuwien.ac.at<mailto:recsys-lab at ec.tuwien.ac.at>.

TU Wien is an equal opportunity employer and places particular emphasis on fostering career opportunities for women. Qualified women are strongly encouraged to apply. Preference will be given to female candidates when equally qualified. Persons with disabilities are equally encouraged to apply. Candidates are not eligible for a refund of expenses for travelling and lodging related to the application process.


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Dr. Julia Neidhardt
Head of the CD Lab for Recommender Systems
TU Wien
Institute of Information Systems Engineering
Research Unit E-Commerce
Favoritenstrasse 9-11/194-04 A-1040 Vienna, Austria
Tel: +43-1-58801-188300
Email: julia.neidhardt at tuwien.ac.at<mailto:julia.neidhardt at tuwien.ac.at>
WWW: https://recsys-lab.at