Postdoctoral Research Position in Computational Cognitive Science

Vacancy summary: 
The Department of Cognitive Science at Central European University announces one or more openings for postdoctoral fellows for one year (extendable), starting no later than September 2017, to work on a project in computational cognitive science. The aim of the project is to track changes in human subjects’ structured, task-general internal models over time as a result of decay, interference, and learning. For this, a set of novel ‘doubly Bayesian’ data analytical methods will need to be developed, using state-of-the-art Bayesian statistical and machine learning techniques which can be used to infer humans’ internal models formalised as prior distributions in Bayesian models of cognition. The project will also involve a set of stringent, quantifiable criteria which will be systematically applied at each step of the work to rigorously assess the success of the approach. These analyses will be applied to a variety of experimental data sets, collected by our collaborators, in paradigms ranging from perceptual learning, through visual and motor structure learning, to social and concept learning.
Position for: 
Faculty
Full-time
Application deadline: 
Jun 30, 2017

Postdoctoral Research Position in Computational Cognitive Science 

Department of Cognitive Science 

Starting date:

no later than September 2017

Application deadline:

June 30, 2017

Full Or Part Time:

Full time

The Department of Cognitive Science at Central European University announces one or more openings for postdoctoral fellows for one year (extendable), starting no later than September 2017, to work on a project in computational cognitive science. The aim of the project is to track changes in human subjects’ structured, task-general internal models over time as a result of decay, interference, and learning. For this, a set of novel ‘doubly Bayesian’ data analytical methods will need to be developed, using state-of-the-art Bayesian statistical and machine learning techniques which can be used to infer humans’ internal models formalised as prior distributions in Bayesian models of cognition. The project will also involve a set of stringent, quantifiable criteria which will be systematically applied at each step of the work to rigorously assess the success of the approach. These analyses will be applied to a variety of experimental data sets, collected by our collaborators, in paradigms ranging from perceptual learning, through visual and motor structure learning, to social and concept learning.

 

Duties and responsibilities:

The post-doctoral researcher will contribute to the development and application of novel Bayesian data analytical methods to human behavioral data in order to track the way internal representations change. The objectives include: a) developing new data analytical algorithms; b) extensively validating them on synthetic data sets; c) applying them to experimental data collected by collaborators; d) interpreting results and; e) writing research reports and papers and preparing conference presentations based on the results.

 

Qualifications:

  • Ph.D. when they take the position,
  • A promising record of prior research accomplishments,
  • S/he should have expertise in current data analytical methods in computational neuroscience, computational cognitive science and machine learning,
  • Familiarity with the concepts of internal representations, Bayesian ideal observer models, and basic psychophysical paradigms.

 

Compensation:

 The post-doctoral researcher will receive a grant.

 

How to apply:

Applicants need to submit:

  • Cover letter stating research interest,
  • CV, including a publication list
  • Contact address for 2 references.

 Informal inquiries about the positions could be addressed to Dr. Máté Lengyel: e-mail: LengyelM@ceu.edu

 Please send your complete application package to: advert@ceu.edu- including job code in subject line: 2017/057. We will start reviewing applications in early-June, 2017.

CEU is an equal opportunity employer.

 

About CEU:

Central European University (CEU) is a graduate research-intensive university specializing in the social sciences, humanities, law, public policy and management. It is located in Budapest, and accredited in the United States and Hungary. CEU’s mission is to promote academic excellence, state-of-the-art research, research-based teaching and learning and civic engagement, in order to contribute to the development of open societies in Central and Eastern Europe, the former Soviet Union, and other emerging democracies throughout the world. CEU offers both Master’s and doctoral programs, and enrolls more than 1,400 students from over 100 countries. The teaching staff consists of more than 180 resident faculty, from over 50 countries, and a large number of prominent visiting scholars from around the world. The language of instruction is English.

For more information, please visit www.ceu.edu

How to apply: 
How to apply: Applicants need to submit: Cover letter stating research interest, CV, including a publication list Contact address for 2 references. Informal inquiries about the positions could be addressed to Dr. Máté Lengyel: e-mail: LengyelM@ceu.edu Please send your complete application package to: advert@ceu.edu- including job code in subject line: 2017/057. We will start reviewing applications in early-June, 2017.