5 Postdoctoral Research Positions in Computational Social Science – Max Planck Institute for Human Development

Organismo: Max Planck Institute for Human Development
Requisitos:
The successful applicant must have the following:
A PhD in computer science, physics, applied mathematics, or behavioral science (e.g. economics, political science, cognitive science, biology, anthropology).
Demonstrated ability to produce high-impact research, as evidenced by a strong publication record in top venues in Computational Social Science, Behavioral Science, Human-Computer Interaction, Artificial Intelligence, Machine Learning, or interdisciplinary science.
Strong quantitative skills, including at least one of the following areas:
Design of complex, web-based behavioral experiments
Complex systems and network science
Data science including social media data processing
Machine learning, including deep learning and reinforcement learning
Mathematical modeling (e.g. game theory or evolutionary dynamics).
Demonstrated understanding and use of advanced statistical inference; Preference will be for candidates who possess statistical maturity and an ability to identify and avoid weaknesses that threaten replication and generalization.
A commitment to following the best methodological practices in science, such as preregistration of studies, sharing of computer code and writing reproducible research reports, open sharing of data whenever feasible etc.
Expertise in at least one programming language for data analytics, such as R or Python.
High proficiency in English.
Solicitudes:
To apply, please send (as ONE FILE and via email, with the sentence «Postdoc application in Computational Social Science» in the subject line) a statement of research interests, a CV, a copy of relevant certificates, (p)reprints of three publications lead by the applicant, and a list of four references to Prof. Dr. Iyad Rahwan, MPI for Human Development, Lentzeallee 94, 14195 Berlin (sekrahwan@mpib-berlin.mpg.de). We are kindly asking you to submit your application without a photo.
Plazo de presentación: 01/10/2020 (Susceptible a error de cálculo, comprobar siempre)
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