20 x 2-year PostDoc ‘STAR’ fellowships at the University of Siegen (EU Marie Curie)

The University of Siegen has secured funding for 20 x 2-year ‘STAR’ postdoc fellowships. Funding comes from the EU Framework Programme for Research and Innovation (Horizon 2020) for implementing Marie Skłodowska-Curie Postdoc fellowships. The ‘STAR’ fellowships allow you to independently conduct your own research project, embedded in an existing research Read more…

Recommender-Systems.com: A Central Platform for the Recommender-System Community [Pre-Print]

Abstract We introduce Recommender-Systems.com (RS_c) as a central platform for the recommender-systems community. RS_c provides regular news on important events in the community as well as curated lists of recommender-system resources including datasets, algorithms, jobs, software, and learning materials. Based on a survey with 28 participants – mostly authors at Read more…

Synthetic vs. Real Reference Strings for Citation Parsing, and the Importance of Re-training and Out-Of-Sample Data for Meaningful Evaluations: Experiments with GROBID, GIANT and CORA [pre-print]

ABSTRACT Citation parsing, particularly with deep neural networks, suffers from a lack of training data as available datasets typically contain only a few thousand training instances. Manually labelling citation strings is very time-consuming, hence synthetically created training data could be a solution. However, as of now, it is unknown if Read more…

Recommender-Systems.com: The Central Platform for the Recommender Systems Community? A Beta-Preview and Survey.

For beginners in recommender systems, it is difficult to get an overview of the state-of-the-art, the most relevant venues, and helpful tools and datasets. Similarly, experts in recommender-systems may find it difficult to keep up to date with the latest developments as relevant publications and news are often scattered across Read more…

3 Well-Funded PhD & Postdoc Positions, up to 5 Years at the University of Siegen (Germany): AutoML, Algorithm Selection, Recommender-Systems …

Closed — for the latest job offerings, please visit our Jobs page We received a €1.25m research grant from the German state of North-Rhine Westphalia that allows us to hire 3 PhD students, postdoctoral researchers or research fellows in the fields of Automated Machine Learning (AutoML), Automated Algorithm Selection and Read more…

Edward Bergman joins our group as a D-REAL PhD student for research on automated algorithm selection in Information Retrieval (AutoIR), Recommender Systems (AutoRecSys) and Machine Learning (AutoML)

We welcome Edward Bergman as a new full-time PhD student here at the School of Computer Science and Statistics in Trinity College Dublin, funded through the new D-REAL SFI Centre for Research Training (CRT) and supported by the ADAPT Centre. Edward has completed a bachelor’s degree in Computer Science in Read more…

Open Ph.D. Positions in Automated Machine Learning (AutoML), Recommender Systems, Meta-Learning, Algorithm Selection, and Federated Learning — Trinity College Dublin, Irland (Sept. ’20)

This is a continuous call until 2022, with student intakes in September every year (and potentially in March). Next deadline is the 29th of February 2020 for a start in September 2020 for the CRT-AI, and 18th of March for the D-Real CRT. Science Foundation Ireland (SFI) agreed to fund Read more…