PhD student position in Vision and Computational Cognition- Leipzig, Germany

Vacancy Reference Number
PhD 14/19
Closing Date
15 Nov 2019
Remuneration is based on the pay scale of the Max Planck Society
Leipzig, Germany

The independent research group Vision and Computational Cognition (led by Dr Martin Hebart) at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, invites applications for a PhD student. 

Our research group seeks to understand how humans recognize and categorize visually-perceived objects. Towards this goal, we use a wide range of behavioral and neuroimaging methods, including visual psychophysics, online crowdsourcing, functional MRI and magnetoencephalography (MEG). The emphasis lies on identifying and characterizing reproducible and interpretable behavioral and brain activity patterns that serve as a basis for our understanding of mental and neural representations of objects. In particular:

(1) we collect and analyze large behavioral and neuroimaging datasets with naturalistic stimuli and tasks (thousands to millions of data points),

(2) we complement traditional data analysis with supervised and unsupervised machine-learning methods and multivariate pattern analysis (encoding, decoding, RSA),

(3) we develop and apply computational modeling approaches of object recognition and categorization, including deep convolutional neural networks and semantic embeddings.

The successful applicant will have:

  • A passion for visual and cognitive neuroscience, with good analytical and quantitative skills, and the ability to work both independently and as part of a team.
  • Candidates are expected to have experience in the analysis of behavioral or neuroimaging data (e.g. fMRI, MEG, or EEG) and have good programming skills in Python, Matlab, or R.
  • Experience with machine-learning methods (e.g. Scikit-Learn, PyTorch, TensorFlow), data/code sharing platforms (e.g. GitHub, Docker), or basic web programming (HTML, JavaScript) are desirable.
  • Scientific publications are not required; however, applicants are expected to demonstrate scientific writing skills.

For more information and to apply, please click here. 

Contact Details

In case of questions, please contact Martin Hebart at