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Postdoctoral Research Positions (f/m/d) Human-Machine Learning
The "Human Impact of Machines" theme at the Center for Humans and Machines (Director: Prof. Dr. Iyad Rahwan), Max Planck Institute for Human Development, is seeking applications for a
Postdoctoral Research Positions
(E 13 TVöD; 39 hours/week)
Funding for the postdoctoral position is available for two years, with possibility of extension for a third year. The positions are available starting September 1, 2019.
The "Human-Machine Learning" theme (PI: Dr. Niccolo Pescetelli) seeks to quantify the impact that digital technologies have on human social learning. This research will
advance the fields of computational social sciences and cultural evolution using rigorous experimental and observational methodology, together with strong analytic and
computational techniques. We expect that the post-doctoral researcher will work on quantitative and technical aspects of the project, providing their expertise in using
current and novel approaches to statistical inference.
The successful candidate will have no formal teaching requirements. The project is part of the Center for Humans and Machines (director: Iyad Rahwan) at the Max Planck
Institute for Human Development (MPIB) in Berlin.
We are searching a postdoc with a strong interest and established expertise in computer science and machine learning. The successful applicant is expected to hold a doctoral degree in computer science or related fields.
Essential The ideal applicant needs to:
Deep knowledge of state-of-the-art generative models in machine learning, e.g. GANs and VAEs.
Expertise in Bayesian statistics, Bayesian networks and graphical models
Demonstrated prior work in causal inference
Outstanding experience in data science, as demonstrated by a track record of publications in top scientific journals.
Familiarity in working with large datasets
Familiarity with experimental and observational methodology.
The ability to work independently.
High proficiency in English.
Proficiency also in one (or more) of the following skills will be advantageous to the successful applicant:
Expertise in implementing and debugging deep reinforcement learning models (e.g. those used in Atari DQN and AlphaZero).
Expertise in phylogenetic models and tree-like datasets
Expertise in Markov models
Interest and/or demonstrated expertise in working with experimental and observational data.
The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds.
The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.
To apply, please send (as ONE FILE and via email, with the sentence "Postdoc application in Human-Machine Learning" in the subject line) a statement of research interests,
a CV, a copy of relevant certificates, (p)reprints of two publications, and a list of two references to Prof. Dr. Iyad Rahwan, MPI for Human Development, Lentzeallee 94,
14195 Berlin (email@example.com).
We are kindly asking you to submit your application without a photo. Applications will be evaluated on a first-come-first-serve basis, and will continue to be received
until June 1st or the position is filled.