June 2023 - Kdml - lists.cs.uni-kassel.de

Openings for Research Internships @ Zalando SE, Berlin, Germany

by Weiwei Cheng

[please share & apologies for cross-posting] https://jobs.zalando.com/en/jobs/5084686/?gh_jid=5084686&gh_src=0fd7a0241us DESCRIPTION As a leading European online platform for fashion and lifestyle, Zalando consistently embraces and leverages state-of-the-art AI techniques to optimize every aspect of the customer journey. By harnessing the power of AI, we empower our customers to effortlessly discover tailored fashion choices, seamlessly navigate through our platform, and enjoy an unparalleled shopping experience. The recent development of Large Language Models (LLMs) has presented an extraordinary opportunity for Zalando to revolutionize the customer experience. In June 2023, we launched Zalando Fashion Assistant (ZFA), a ChatGPT-powered shopping experience that helps customers navigate Zalando's large assortment in a more intuitive way. This is just one example. Innovations centered around LLMs enable us to comprehend and interpret customer preferences, style trends, and product descriptions with unprecedented accuracy. As we embrace this cutting-edge technology, Zalando is poised to reshape the future of fashion e-commerce, set new standards, and deliver unparalleled customer satisfaction. As an Applied Science Intern, you are going to work with a team of LLM experts, where you will have the opportunity to develop the next generation of AI technologies and make a direct and profound impact on how we interact with customers. The duration of the internship is up to 6 months. QUALIFICATIONS - Enrolled in a PhD program in natural language processing, information retrieval, machine learning, or related fields. - Hands-on experience in deep learning and familiarity with frameworks such as PyTorch or TensorFlow. - Excellent communication skills in both verbal and written form. - [Prefered] Past experience in LLMs, including pre-training, fine tuning, prompt engineering, etc. - [Prefered] Publications at top-tier conferences or journals, such as ACL, EMNLP, ICLR, NeurIPS, ICML, SIGIR, etc. Weiwei Cheng Sr. Principal Scientist at Zalando

1 year, 5 months

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CfP - LWDA 2023 - Deadline July 20

by Helge Spieker

*Call for Papers LWDA 2023* (KDML CfP below) The annual conference LWDA <http://www.lwda2023.de/>, which expands to „Lernen, Wissen, Daten, Analysen“ („Learning, Knowledge, Data, Analytics“), covers current research in areas such as knowledge discovery, machine learning & data mining, knowledge management, database management & information systems, information retrieval. The conference will be held at the Philipps University of Marburg from *9 to 11 October 2023* and welcomes submissions of innovative research from both industry and academia. The LWDA conference brings together the various special interest groups of the Gesellschaft für Informatik (German Computer Science Society) in this area: - FG Datenbanksysteme – Data Engineering for Data Science <https://www.uni-marburg.de/de/fb02/professuren/bwl/digiprozess/lwda2023-2/c…> - FG Knowledge Discovery und Machine Learning <https://www.uni-marburg.de/de/fb02/professuren/bwl/digiprozess/lwda2023-2/c…> - FG Business Intelligence und Analytics <https://www.uni-marburg.de/de/fb02/professuren/bwl/digiprozess/lwda2023-2/c…> - FG Knowledge Management <https://www.uni-marburg.de/de/fb02/professuren/bwl/digiprozess/lwda2023-2/c…> - FG Information Retrieval <https://www.uni-marburg.de/de/fb02/professuren/bwl/digiprozess/lwda2023-2/c…> The program includes joint research sessions and keynotes, as well as workshops organised by each special interest group. We're looking forward to see you at the conference and are looking forward to your submission! *Call for Papers KDML @ LWDA 2023* We invite submissions on all aspects of data mining, knowledge discovery, and machine learning. In addition to original research, we also invite resubmissions of recently published articles at major conference venues related to KDML. Moreover, KDML explicitly invites student submissions. Topics of interest include but are not limited to: 1. Foundations, algorithms, models, and theory of machine learning and data mining 2. Supervised, semi-supervised, and unsupervised learning 3. Machine learning on networks and graphs 4. Deep learning and representation learning 5. Rule-based learning and pattern mining 6. Reinforcement learning 7. Fairness, transparency and formal guarantees in machine learning 8. Explainability and Interpretability in machine learning and knowledge discovery 9. Trustworthiness in machine learning and knowledge discovery 10. Temporal, spatial & spatio-temporal data analytics 11. Online learning and machine learning in data streams 12. Text mining, mining unstructured and semi-structured data 13. Parallel and distributed data analytics 14. Interactive and visual analytics 15. Applications of data mining and machine learning in all domains including natural-, life-, and social sciences, health, financial, environment, engineering, and humanities 16. Open source frameworks and tools for data mining and machine learning *Submission deadline:* July 20, 2023 *Notification of acceptance:* August 20, 2023 *Camera-ready copy:* September 14, 2023 *Workshop:* October 9 – 11, 2023 *Full Call for Papers: * https://www.uni-marburg.de/de/fb02/professuren/bwl/digiprozess/lwda2023-2/c… Workshop Organisation Felix Stamm, Rheinisch-Westfälische Technische Hochschule Aachen Dr. Helge Spieker, Simula Research Laboratory, Oslo, Norway Best regards, Helge Spieker -- Helge Spieker Research Scientist Simula Research Laboratory Oslo, Norway

1 year, 5 months

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Three Open Rank Professorships in the field of Machine Learning and Artificial Intelligence

by Prof. Dr. Emmanuel Müller

Dear colleagues, here's your opportunity to shape the future of Machine Learning and Artificial Intelligence as part of our research institute. The Lamarr Institute [1] and TU Dortmund University [2] are looking for three open rank professorship positions to be filled as early as possible: THREE PROFESSORSHIPS IN THE FIELD OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE (Open Rank: W3 tenured or W2 with W3 tenure track) at the Department of Computer Science, TU Dortmund University https://service.tu-dortmund.de/documents/18/2120803/Job_Advertisements_Prof… [3] If you are interested, please drop us a message. We are seeking an outstanding scientist who holds an excellent PhD in Computer Science or related disciplines, has experience in applying for third-party funds and has published in relevant and highly ranked international venues with peer review. In particular, we welcome applications of candidates who have conducted excellent research in one or more of the following areas: * Foundations of Artificial Intelligence * Theory of Deep Learning * Neuro-Symbolic Artificial Intelligence * Explainable Artificial Intelligence * Causality * Machine Learning and Logic * Fairness and Transparency of Machine Learning * Ressource Aware Machine Learning * Reinforcement Learning * Large-Scale Generative Models * Simulation-Based Machine Learning * Large Scale Optimization * Federated Learning * Future Applications of Machine Learning IF YOU ARE INTERESTED IN THE POSITION, PLEASE SEND YOUR APPLICATION VIA E-MAIL BY AUGUST 2ND TO: BEWERBUNG(a)CS.TU-DORTMUND.DE The Lamarr Institute, as a leading international center for Machine Learning, focuses on the value-based research and development of high-performance, trustworthy, and resource-efficient applications of Machine Learning and Artificial Intelligence (AI). It establishes internationally competitive research that sustainably strengthens Germany and Europe as leading locations for research, education, and technology transfer in AI. Along the central research paradigm of „Triangular AI" (AI3), Lamarr scientists are laying the foundations for the next generation of Artificial Intelligence, which uses data, knowledge and context of intelligent systems on an equal footing. The Department of Computer Science at TU Dortmund University is one of the largest in Germany and has particular strengths in research. Among similar institutions, it is distinguished by a combination of fundamental research on formal methods with the development of practical applications. Research focuses on Algorithmics, Data Science, Cyber-Physical Systems and Software and Service Engineering. Bests, Emmanuel Müller -- Prof. Dr. Emmanuel Müller emmanuel.mueller(a)cs.tu-dortmund.de Professor of Computer Science Technical University of Dortmund Chair of Data Science and Data Engineering https://ls9-www.cs.tu-dortmund.de/ [4] LAMARR Institute for Machine Learning and Artificial Intelligence https://lamarr-institute.org/ [1] Director of Research Center Trustworthy Data Science and Security https://rc-trust.ai/ [5] Links: ------ [1] https://lamarr-institute.org/ [2] https://www.tu-dortmund.de/ [3] https://service.tu-dortmund.de/documents/18/2120803/Job_Advertisements_Prof… [4] https://ls9-www.cs.tu-dortmund.de/ [5] https://rc-trust.ai/

1 year, 5 months

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Postdoc Position - AI & Data Science - UOS

by Martin Atzmüller

Dear colleagues, we offer a position for a PostDoc with research related to explainable/interpretable learning, semantic methods, and/or modeling complex relational/multi-modal data. Detailed information about the position and how to apply is available here: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-… The deadline for applications is June 30, 2023. Please feel free to contact me to discuss further details. Best regards, Martin Atzmueller -- Prof. Dr. Martin Atzmueller https://martin.atzmueller.net | https://sis.cs.uos.de ROSEN-Group-Endowed Chair of Semantic Information Systems Institute of Computer Science, Osnabrück University (UOS) & German Research Center for AI (DFKI) & Founding Spokesperson of the Joint Lab AI & Data Science | https://jl-ki-ds.uos.de

1 year, 5 months

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Research Associate/PhD (m/f/d) position at the Division of Psychological Methods and Statistics, Oldenburg, Germany

by Jörge Minula

Dear Members, I would like to bring to your attention a PhD position available at the Division of Psychological Methods and Statistics, University of Oldenburg, Germany. For more information about the position and how to apply, please refer to the detailed description provided in the email below. Best regards, Jörge Minula ------------------------------ School VI of Medicine and Health Sciences comprises the fields of human medicine, medical physics and acoustics, neurosciences, psychology and health services research. Together with the four regional hospitals, School VI forms the University Medicine Oldenburg. Furthermore, there is close cooperation with the University Medicine of the University of Groningen. In the organization unit for Psychological Methods and Statistics of the Department of Psychology there is a vacancy for a *Research Associate/PhD (m/f/d)* (E13 TV-L, 100%) <https://lohntastik.de/od-rechner/tv-gehaltsrechner/TV-L/E-13/1> *starting October 2023 *for a limited period of 3 years. There is the possibility of personal scientific qualification (doctorate/post-doctoral thesis). The position is suitable for part-time work. At the Division of Psychological Methods and Statistics we develop and apply multivariate statistical modeling techniques and technologically advanced instrumentation for research in behavioral and health sciences. By means of these tools, applicable to modeling neurometric (EEG, DTI, fMRI, fNIRS) and psychometric data, collected within and outside the lab, we aim to understand individual differences and intraindividual fluctuations in typical and disordered sensory, cognitive and emotional processing and their behavioral outcomes across the lifespan – from neonatal age to late adulthood. The methodological and substantive topics we work at are diverse, but they inspire each other. We are committed to implementing Open Science techniques to foster reproducibility in our research and beyond. The position advertised here will work on structural and functional neuroimaging with the aim of developing advanced methods (complex dynamic networks) for measuring neuromarkers of cognitive sequelae after preterm birth. Tasks include: - Collaboration in teaching (4 LVS) - Research with close links to the research priorities of the working group and the above elaborated topic - Writing scientific papers - Presenting results at scientific conferences - Engaging with Open Science practices and contributing to the Department's Open Science Interest Group <https://uol.de/psychologie/open-science/osig>. Recruitment requirements: - Completed scientific university studies (Diploma / Master) in the field of Psychology, Cognitive Neuroscience and related disciplines - Neuroimaging data analysis experience - Robust and broad knowledge of multivariate statistics, including Structural Equation Modeling - Knowledge of standard machine learning tools - Very good programming skills on R and Python Advantageous are: - Knowledge in clinical, personality, social and / or cognitive neuroscience - Very good scientific presentation skills - Prior experience with Open Science practices We offer: - A friendly and diverse work environment - A close mentoring toward an academic career - Payment in accordance with collective bargaining law (special annual payment, company pension scheme, asset-related benefits) incl. 30 days annual leave - Support and guidance during your induction phase - A family-friendly environment with flexible working hours (flexitime) and the possibility of pro-rata mobile work - Benefits from the university's health promotion programme - An extensive free further education programme as well as our own scientific promotion of young academics (https://uol.de/medizin/nachwuchs ) The University of Oldenburg aims to increase the proportion of women in the academic field. Therefore, women are strongly encouraged to apply. According to § 21 para. 3 NHG, female applicants should be given preferential consideration if their qualifications are equivalent. Applicants with disabilities are given preference in the event of equal suitability. For further information, please contact Prof. Dr. Andrea Hildebrandt ( https://uol.de/psychologie/statistik/prof-dr-andrea-hildebrandt). How to apply: Follow the description at https://uol.de/stellen?stelle=69636

1 year, 5 months

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Call for Participation: 17th Intl. Conf. on Formal Concept Analysis (ICFCA 2023)

by Gerd Stumme

================================================================================ ICFCA 2023 17th International Conference on Formal Concept Analysis July 17-21, 2023, Kassel, Germany Web: https://www.kde.cs.uni-kassel.de/icfca2023/ ================================================================================ REGISTRATION: https://www.kde.cs.uni-kassel.de/icfca2023/register.html The EARLY-BIRD registration is closing soon: June 15 (AoE) PROGRAM: https://www.kde.cs.uni-kassel.de/icfca2023/program.html ================================================================================ ICFCA will feature exiting INVITED TALKS: * KEYNOTES - Oliver Deussen (University of Konstanz, Germany): How to Visualize Sets and Set Relations - Reinhard Diestel (University of Hamburg, Germany): Tangles: from Wittgenstein to graph minors and back - Jan Konečný (Palacký University Olomouc, Czech Republic): Formal Concept Analysis in Boolean Matrix Factorization: Algorithms and Extensions to Ordinal and Fuzzy-Valued Data - Manuel Ojeda Aciego (University of Málaga, Spain): On the φ-degree of inclusion - Alessandra Palmigiano (Vrije Universiteit Amsterdam, Netherlands): Logical foundations of categorization theory - William T. Trotter (Georgia Tech Institute, USA): Modern Concepts of Dimension for Partially Ordered Sets * LATEBREAKING RESULT TALK - Christian Jäkel (TU Dresden, Germany): Breaking the Barrier: A Computation of the Ninth Dedekind Number The ICFCA Organizing Committee is looking forward to meeting You in Kassel! Gerd Stumme (General Chair) Dominik Dürrschnabel (PC Co-Chair) Domingo López Rodríguez (PC Co-Chair)

1 year, 5 months

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Promotionsstelle Data Science für hierarchische Daten an der Universität Kassel

by Gerd Stumme

Das Fachgebiet Wissensverarbeitung der Universität Kassel schreibt eine Stelle für eine:n Wissenschaftliche:n Mitarbeiter:in (m/w/d, TV-H E13, 100 %) im Rahmen des Forschungsprojekts "Towards Ordinal Data Science" unter Leitung von Prof. Dr. Gerd Stumme aus. Das Fachgebiet forscht an der Schnittstelle von Data Science und Künstlicher Intelligenz. Aufgabe der Promotionsstelle ist die Erforschung von Data-Science-Methoden für hierarchische Daten. Das Fachgebiet ist Mitglied im Wissenschaftlichen Zentrum für Informationstechnik-Gestaltung (ITeG) und im Hessian Center for Artificial Intelligence (hessian.AI). Weitere Informationen finden Sie unter https://www.kde.cs.uni-kassel.de/ . Wir suchen eine:n hochmotivierte:n Doktorand:in, der/die eine mathematisch orientierte Arbeitsweise mitbringt und bereit zu interdisziplinärer Zusammenarbeit ist. Wir bieten Ihnen ein teamorientiertes Forschungsumfeld, die Gelegenheit, erste Lehrerfahrung zu sammeln, sowie die Möglichkeit, ihre Ergebnisse international zu publizieren und auf Konferenzen vorzustellen. Das Anstreben einer Promotion ist möglich und erwünscht. Wir erwarten einen überdurchschnittlichen Universitätsabschluss in Informatik, Mathematik, Physik oder einem verwandten Gebiet, gute Kenntnisse in Programmierung und diskreten Strukturen, eine hohe Eigenmotivation sowie fließende Englischkenntnisse in Wort und Schrift. Bei inhaltlichen Fragen zur Stelle wenden Sie sich gern an Herrn Prof. Dr. Gerd Stumme (stumme(a)cs.uni-kassel.de). Die Universität Kassel ist eine Universität, an der Offenheit, Initiative, fächerübergreifendes und unkonventionelles Denken gewünscht und gefördert werden. Kassel ist die zweitgrünste Stadt Deutschlands und überzeugt mit Lage und Potenzial. Hier ist es grün, aber nicht langweilig. Hier ist es urban, aber nicht überlaufen --> https://www.uni-kassel.de/go/darum-kassel Die Stelle ist befristet auf zunächst drei Jahre und zum frühestmöglichen Termin zu besetzen. Das Gehalt beträgt mindestens 53.000 € pro Jahr. Ihre Bewerbung können Sie bis zum 22.3.2023 im Bewerbungsportal hochladen, wo Sie auch den vollständigen Ausschreibungstext finden: https://www.uni-kassel.de/go/tods-ausschreibung -- Prof. Dr. Gerd Stumme, Hertie Chair of Knowledge & Data Engineering & Research Center for Information System Design (ITeG) & International Center for Higher Education Research (INCHER), University of Kassel & Research Center L3S & The Hessian Center for Artificial Intelligence (hessian.AI) http://www.kde.cs.uni-kassel.de, Tel. +49 561/804-6251

1 year, 5 months

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Kdml June 2023