PhD in Temporal Causal Inference, Time Series, Machine Learning, and Building Energy Systems at UCLouvain UCLouvain in Belgium

PhD Position on Causal AI for Smart Buildings at UCLouvain (LIDAM). This opening is for an applied PhD project at the intersection of temporal causal inference , machine learning , and building energy systems . The research is described as a collaboration with an industrial partner, with time split equally between the university and the industrial environment, which suggests a strongly applied and translational research setting. Research themes: causal AI, smart buildings, energy systems, tempor...

Ghent University’s IDLab (Internet technology and Data science Lab, UGent-imec) is advertising a PhD position in multi-electrode array (MEA) based mechanistic neural modelling . The project focuses on in vitro neural cultures measured with MEAs, with the goal of building quantitative mechanistic models that capture biological dynamics and support principled inference from experimental data. The work combines neuroscience , machine learning , Bayesian inference , dynamic modelling , and efficient...

Abdullah Al Redwan Newaz, Assistant Professor at the University of New Orleans, is recruiting a fully funded PhD student for the Autonomous Intelligent Robotics (AiR) Lab at Louisiana State University New Orleans , starting Spring 2027 . The research sits at the intersection of robotics , uncertainty-aware planning , multi-robot coordination , machine learning , and control . The lab focuses on robotic information gathering using UAVs and autonomous surface vehicles for environmental monitoring ...

Research Associate / PhD Candidate (m/f/d) in Telecommunications Systems at Technical University of Darmstadt (TU Darmstadt), Germany. The position is in the area of Communication Systems within the Department of Electrical and Information Engineering, with research focused on statistical signal processing , mathematical optimization , machine learning , and especially model-based deep learning for robust 6G networks . Research topics include model-based learning methods for parameter estimation...

PhD opportunity in Machine Learning, Statistics, and Trustworthy AI at UCLouvain (LIDAM / ISBA), Belgium, under Prof. Olivier Caelen . The project focuses on developing differentiable calibration losses for multi-class models to improve the reliability of neural network probabilities, going beyond standard post-hoc calibration approaches. This is a strong fit for candidates interested in deep learning , statistics , trustworthy AI , and probabilistic model calibration. Eligibility highlights inc...