Postdoctoral Research Position in Hybrid Collective Intelligence
Max Planck Institute for Human Development
Germany

The project "Hybrid Collective Intelligence" at the Center for Humans and Machines, 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 December 1, 2019, or later.

Job description

The "Hybrid Collective Intelligence" theme (PIs: Prof. Rahwan and Dr. Pescetelli) seeks to
quantify the impact that digital technologies have on human social learning. This
research will advance the fields of cultural evolution and computational social sciences
using rigorous experimental and observational methodology, together with strong
analytic and computational techniques. We expect that the postdoctoral researcher will
conduct rigorous online experiments, supervise quantitative and technical aspects of the
project, and apply statistical inference to collected data.

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. The successful candidate will closely
work with Prof. Rahwan and Dr. Pescetelli to produce high impact publications in top
journals.

Requirements

We are searching a postdoc with a strong interest and established expertise in
behavioral science and/or computer science. The successful applicant must be
comfortable working with social scientists and computer scientists. The position is open
to candidates holding a doctoral degree in either computer science or in a social science
discipline (experimental psychology, anthropology, or related fields).

Essential

The successful applicant needs to possess:

Expertise in conducting large online experiments (e.g. on Amazon Mechanical Turk)
involving multiple simultaneous participants
Demonstrated prior work in causal inference and experimental methodology
Outstanding experience in data science, as demonstrated by a track record of
publications in top scientific journals
Demonstrated interest in computational social science
Experience in working with large datasets
The ability to work independently
Willingness to work in a multidisciplinary and fast-paced environment
High proficiency in English
Preferable
Proficiency also in one (or more) of the following skills will be advantageous to the
successful applicant:
Experience with Machine Learning, in particular state-of-the-art generative models,
e.g. GANs and VAEs
Familiarity in Bayesian statistics, Bayesian networks and graphical models
Expertise in phylogenetic models

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 Hybrid Collective Intelligence"
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@mpib-berlin.mpg.de). Receiving of applications will
continue until the position is filled and evaluation of applicants
will start on a first-come-first-serve basis. We are kindly asking
you to submit your application without a photo.


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