Jonas Müller

Jonas Müller, M. Sc.

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room: Room 01.020
Carl-Thiersch-Straße 2b
91052 Erlangen

since 11/2023 PhD Candidate

Machine Learning and Data Analytics Lab,
Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
10/2023-11/2023 Internship 

Scaltel GmbH & Co. KG., Waltenhofen

Application of Artificial Intelligence in Network Security Systems
11/2020-06/2023 M.Sc. in Cognitive Science

University of Tübingen,
Masters’s Thesis: “Glacier Movement Prediction with Deep Learning Models and Satellite Data”
05/2022-02/2023 Artificial Intelligence Expert 

Bosch-Siemens Home Appliances GmbH, Munich

Topics: Consulting, Machine Learning Tool Development and Maintenance
02/2022-11/2022 Internship,

Human Machine Cognition Lab,

Cluster of Excellence “Machine Learning” University of Tübingen, 

Topics: Evolutionary Algorithms and Bayesian Reinforcement Learning
Lab Report: “Emerging Social Behavior in Evolutionary Reinforcement Learning Simulations”
02/2022-05/2022 Scientific Assistant

Leibniz Institut für Wissensmedien,
Eberhard-Karls Universität Tübingen
02/2021-05/2022 Scientific Assistant

Department of Social Cognition and Decision Making,
Eberhard-Karls Universität Tübingen
10/2017-06/2020 B.Sc. in Psychology 

Alpen-Adria-University (AAU),

Bachelor’s Thesis: “Adaptive Toolbox oder Adjustable Spanner? Eine empirische Testung der beiden Paradigmen der Entscheidungsforschung durch eine konzeptuelle Replikationsstudie (Söllner & Bröder, 2016) im Zusammenhang mit Strategieauswahl, Informationssuche und Zuversicht in Entscheidungen”

PreHapp
–  Development of Motion-tracking Module for Rehabilitation Application with Deep Learning and Compter Vision Approaches
EmpkinS

2024

Year Title
2023 Müller, J., Braun, R., Lensch, H. P. A., & Ludwig, N. (2023). Glacier Movement Prediction with Attention-based Recurrent Neural Networks and Satellite Data. NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning. https://www.climatechange.ai/papers/neurips2023/42

No awards found.

Scrum Master in the Innovation Lab for Wearable and Ubiquitous Computing

Year Name Title
2023 Lukas Böhm  Developing New Approaches For Measuring Invariances Between Models Using Model Metamers
(co-supervision)
(Master’s Thesis)