Max-Planck-Institut für Bildungsforschung - Department: Humans and Machines
The Max Planck Institute for Human Development is dedicated to the study of human development and education. Researchers of various disciplines – including psychology, education, sociology and medicine, as well as history, economics, computer science and mathematics – work together on interdisciplinary projects at the Berlin Institute. The research questions they examine include how people make effective decisions even under time pressure and information overload, how the interaction between behaviour and brain function changes over the lifespan, as well as how human emotions change in a historical context and how they have affected the course of history itself.
The Centre for Humans and Machines (CHM) within the Max Planck Institute for Human
Development is seeking a Research Assistant to work on. The selected student will work under Dr. Niccolo Pescetelli and CHM Director Assoc. Prof. (MIT) Iyad Rahwan, Ph.D.
The researcher will be required to perform data analysis and
numerical simulation for a project involving the implementation of
The researcher will be responsible for the following tasks:
Implementing several known optimization models
Design and implement a pipeline for simulation testing and data collection
Perform robustness checks using various data sources
Document findings, methods and code in an appropriate format for submission to a general science journal.
Assist with the submission process including revisions and responses to editors and reviewers.
Other possible tasks that arise during the course of the research.
The project has an initial duration of 6 months with possibility to
renew, depending on performance and project-specific needs.
Currently enrolled in Computer science studies (preferably master students)
Graduate level knowledge of optimization tools and algorithms
Knowledge of Python 3.5+
Knowledge of at least one machine learning or optimization
Relevant experience in academia or industry
How to apply:
Please send your application without a photo, as one single PDF-document to email@example.com. The application should include (a) a short motivation
letter, (b) CV, and (c) relevant school/university certificates and references.
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.