[agents] Postdoctoral Position in Human-Machine Learning, Max Planck Institute for Human Development, Berlin

[Iyad Rahwan]

The *Human-Machine Learning* project 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 Position*

(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 position is available from September 1,
2019, or later.


*Job Description*

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.


*Requirements*

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 successful applicant needs to possess:

● 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.


*Preferable*

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 (sekrahwan at mpib-berlin.mpg.de). 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.
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