Postdoctoral Researcher and PhD Candidate in Multimodal Learning for Tabular Temporal Data | 316/2025 One PostDoc/PhD position and One PhD position (m/f/d) on multimodal learning in tabular tem

Job Summary

This dual vacancy seeks one Postdoctoral Researcher and one PhD Candidate to advance research in multimodal learning, specifically focusing on tabular temporal data within clinical and digital healthcare settings. Both roles involve expanding the Knowledge Management and Discovery (KMD) research portfolio, engaging in interdisciplinary collaborations, and contributing to teaching and grant proposal writing. The Postdoc position emphasizes fusion, domain transfer, and integration into operative processes, while the PhD role focuses on cost, energy, and latency considerations of sensors. Successful candidates will possess strong backgrounds in machine learning, time series analysis, and sensorics, with required proficiency in English. This is an excellent opportunity to qualify towards cutting-edge temporal technologies and contribute to critical research in medical and healthcare applications within a multinational, supportive academic environment.