Looking for a PostDoc who wants to work on explainable deep learning and/or reasoning. Needs to be a person with relevant coding skills and publications in decent conferences or journals. Accept-everything-journals are not considered.
In Singapore life is less expensive than in many places in Western Europe. Flat rent and cars are pricier, but the rest is notably less expensive. Plus you dont need a car in SG at all. Its a place with really inexpensive taxi fares. The workplace is in the East of Singapore and close to newly built and inexpensive condominiums (e.g. Flora Drive).
Alexander (Alex) Binder obtained a Dr. rer. nat. degree at the department of computer science, Technical University Berlin in 2013. Before he held a Dipl.-Math. degree from the Humboldt University Berlin. Since 2007, he has been working for the THESEUS project on semantic image retrieval at Fraunhofer FIRST where he was the principal contributor to top five ranked submissions at ImageCLEF2011 and Pascal VOC2009 challenges. From 2012 to 2015 he worked on real-time car localization topics in the Automotive Services department (ASCT) of the Fraunhofer Institute FOKUS. From to 2010 to 2015 he was with the Machine Learning Group at the TU Berlin. He likes to program in C++, python and enjoys pytorch. His research interests include computer vision, machine learning, explaining non-linear predictions and medical applications.
- PhD, Technical University Berlin
Machine Learning, Computer Vision, Deep Learning, Medical Data Analysis, Explainable Machine Learning
For my recent publications please see my google scholar page
See here some explanations of predictions, for images. The same methods are applicable to a wide range of non-image inputs, see papers on LRP for neuroscience, gait analysis, text, BCI and others.
There are many great publications by other researchers in related topics. I did not invent the wheel :).