-
underrepresented in the field. What we look for Successful candidates should have previous experience in machine learning, statistics, artificial intelligence or in another relevant field, demonstrated by success in
-
, Computer Science, Cognitive Science, Psychology or a related field excellent knowledge in at least one of these three key areas: quantitative User studies, statistical modelling of human experimental data
-
modelling and statistical mechanics or thermodynamics approaches. The position also involves participation of departmental teaching and student instruction. You have a Master’s degree with focus on soft
-
. Outstanding researchers from the areas of Machine Learning, AI, Robotics, and related areas including Reinforcement Learning, Control Engineering, Computer Vision, Statistics & Optimization, or Mathematics
-
, Computer Science, Cognitive Science, Psychology or a related field excellent knowledge in at least one of these three key areas: quantitative User studies, statistical modelling of human experimental data
-
, statistical analyses, research interviews, and any other research tasks. The topics you may work on are varied and broad, such as headquarters (re)locations, diversity, sustainability, human resources, and
-
statistics is a definite merit for an application. Possible background for a successful applicant includes relevant studies in geoinformatics, in water management, in agricultural sciences, or a similar field