Postdoctoral Research Position in Optimal Strategies in Networked Labour Markets
Max Planck Institute for Human Development
Germany

The project Optimal Strategies in Networked Labour Markets 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. The position is available
from 1 January, 2020, or later.

Job Description

The Machines and the Future of Work project (PI: Dr. Alex Rutherford) investigates
Optimal Strategies in Networked Labour Markets. The postdoc will work closely with the
CHM director Prof. Iyad Rahwan, and with the principal investigator of the Machines and
the Future of Work theme, Dr. Alex Rutherford.

Future research will advance research into how individual skills retraining can protect
workers from the negative effects of automation. We expect that the postdoctoral
researcher will undertake novel research into the network structure of skills and jobs,
possible strategies for navigating this network through retraining and implications for
the workforce as a whole.

The successful candidate may supervise students who assist him/her during data
analysis and data collection. There are 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
computational modelling and data analysis of social systems.

Required experience

The successful applicant needs to possess:
PhD in computer science, physics, applied maths, economics or related fields
Network analysis (e.g. modularity, path length, diameter, assortativity)
Graph algorithms (e.g. greedy search, depth first search)
Data science (data cleaning and munging using e.g. pandas, numpy, scipy)
Network simulation in Python/R (e.g. graph-tool, networkX, igraph)
Previous publications in interdisciplinary journals (PLoS One/EPJ Data Science)
Highly desirable experience
Proficiency also in one (or more) of the following skills will be advantageous to the
successful applicant:

Preparing manuscripts for publication in interdisciplinary and high impact journals
(e.g. Nature/Science)
Analytic methods (e.g. differential equations, evolutionary game theory)
Use of quantitative methods to model social systems
Monte-Carlo simulation
High-performance computing
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.

Furthermore, the Max Planck Society seeks to increase the

number of women in those areas where they are
underrepresented and therefore explicitly encourages women
to apply.
To apply, please send (as ONE FILE and via email) a statement of
research interests, a CV, a copy of relevant certificates,
(p)reprints of two publications, and a list of two references to
Dr. Alex Rutherford, 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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