PhD position: Project B03: Parameter inference and model comparison in dynamical cognitive models (PIs: Engbert/Reich) at Institut of Mathematics, University of Potsdam

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Institut of Mathematics, University of Potsdam
Berlin, Germany
Job Info
Job Status: Expired
No of Vacancies: 1
Date Posted: December 6, 2017
Expiry Date: January 01, 2018
Job Type: PhD
Job Level: Any
Salary Info
Salary Type: Negotiable
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The DFG-funded Collaborative Research Center SFB 1294 “Data Assimilation – The Seamless Integration of Data and Models”, hosted at the University of Potsdam jointly with its partner Institutions HU Berlin, TU Berlin, Universität Magdeburg, WIAS Berlin and GFZ Potsdam, invites applications for a doctoral position available from January 1st, 2018, or later.

Our vision.

The assimilation of time-dependent data sets into complex evolution models lead to unique mathematical and computational challenges, which provide the central theme of SFB 1294. Data assimilation is a newly emerging field which lies at the confluence of several established research areas in mathematics and statistics on the one hand and application areas such as geosciences on the other. Our vision is to establish a rigorous mathematical underpinning of data assimilation, to develop principled computational methodologies, and to apply these methodologies to emerging application fields in the geosciences, neurosciences and biophysics. SFB 1294 provides a fantastic research infrastructure including a large interdisciplinary network of researchers, its own graduate school, and funding opportunities for conference visits, summer schools, hosting international experts etc. SFB 1294 strives to increase the proportion of women in research. People with an immigration background are
specifically encouraged to apply.

The position.

We seek applicants for a doctoral position (E13 75%) within Project B03: Parameter inference and model comparison in dynamical cognitive models (PIs:Engbert/Reich)
In cognitive modelling, we investigate mathematical and computational approaches to explain human behaviour by a set of basic assumptions on principles of information pro- cessing of mind and brain. In this approach, model fitting and comparison are becoming more and more important due to increasingly complex models and the existence of competing modelling approaches. This is particularly important in the case of dynamical cognitive models, where parameter identification and model comparison must be based on time-ordered data (time series).

The particular focus of Project B03 is on dynamical models of eye-movement control. Eyemovement control is an important area of cognitive modelling, since the eyes are both sensory and motor systems and, therefore, are among the best experimental measures of ongoing cognition. The successful candidate will develop, implement and test probabilistic algorithms for parameter inference and model comparison for such dynamic cognitive models. A
background in computational/applied mathematics or statistics is desirable. The candidate will work at the Institute of Mathematics, University of Potsdam, under the supervision of Sebastian Reich and will closely collaborate with the group of Ralf Engbert at the Department of Psychology.

The salary is determined by the collective bargaining agreement for public employees in Germany (TV-L 13 Ost). All positions are temporary in accordance with Section 2 subsection 1  of the Academic Fixed-Term Contract Law (WissZeitVG). The position(s) require completed academic studies at an institute of higher learning (Master degree or equivalent). Under the laws of the federal state of Brandenburg, employees under this contract are permitted to dedicate at least 33% of their contract time for their scientific qualification. The University of Potsdam strives to maintain gender balance among its staff. Severely disabled applicants shall receive preference in case of equal qualifications. We expressly invite applications from people with migration backgrounds.

Please send your application as a single PDF including:

(1) a statement of research interests and motivation,

(2) a full CV,

(3) the names and e-mail addresses of at least two referees,

(4) academic transcripts,

(5) list of publications/talks/presentations, and, if applicable,

(6) a link to a copy of the master’s or PhD thesis

to Please clearly indicate in the subject line, which of the projects/positions you are applying for (e.g., “B03”).

See the website for further information or contact