Open Positions 1
Time Span 01 Jun 2022 for 36 months
Application Deadline 25 Feb 2022
Type of Position
PhD - Individual Supervisor
PhD - Doctoral Programme
Field of Research
Mathematics / Natural Sciences
Subjects Mathematics and applications, Data Assimilation
Description 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, WIAS Berlin and GFZ Potsdam, invites applications for a
doctoral researcher position with a starting date between November 2021 and
June 2022 the latest.
Our vision. The assimilation of time-dependent data sets into complex
evolution models leads to unique mathematical and computational challenges.
These challenges which provide the central theme of the SFB 1294. Data
assimilation constitutes a rapidly expanding field at the confluence of
several established research areas in mathematics, statistics and machine
learning, on the one hand and applications from the natural sciences and other
Our vision is to establish a rigorous mathematical underpinning of data
assimilation, to develop principled computational methodologies, and to apply
these methodologies to newly emerging application fields in the geosciences,
neuro-sciences, pharmacology and biophysics.
The SFB 1294 provides an excellent research infrastructure including a large
interdisciplinary net-work of researchers and its own graduate school, as well
as funding opportunities for conference visits, summer schools, and hosting
international experts etc.
The SFB 1294 seeks to promote diversity in research, and encourages qualified
applicants of any gender and from any background to apply.
The position. We seek applicants for a doctoral position (TVL – E13 75%)
within Project B03:
“Parameter inference and model comparison in dynamical cognitive models”
(PIs: Engbert, Reich)
The complexity of cognitive processes leads to highly demanding inference
problems both in terms of parameter estimation as well as comparison between
competing modelling approaches. Within the project, we will develop novel
likelihood-free methods for dynamical models of scene viewing and reading. We
will rely on recent advances on particle-based optimization and sampling
methods for computational statistics and machine learning. The successful
candidate will join the research group of Sebastian Reich at the Institute of
Mathematics and is expected to develop efficient algorithmic implementations
as well as to
advance theirtheoretical underpinning. The work will be conducted in close
collaboration with the Ralf Engbert lab of Experimental and Biological
Psychology at the University of Potsdam.
The project is ideal for a candidate interested in computational statistics
and machine learning with applications to cognition.
We expect a candidate with a Master degree in Mathematics, Data Science,
Computer Science,or Cognitive Science.
The salary is determined by the collective bargaining agreement for public
employees in Germany (TV-L 13). All positions are temporary in accordance
with Section 2 subsection 1 of the Academic Fixed-Term Contract Law
(WissZeitVG). 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 SFB 1294 seeks to promote
research, and encourages qualified applicants of any gender and from any
background to apply.
Applications to the SFB should be submitted via
https: // www. geo-x.net/sfb-1294/ and should include (1) a statement of
research interests and motivation, (2) a full CV, (3) the names, email
addresses and/or reference letters of at least two referees, (4) academic
(5) link to electronic copy of your Master/Diploma thesis (6) list of
publications/talks/presentations in a single PDF file. Applications will be
considered until the position has been filled. Please indicate clearly which
of the projects/positions you are applying for (e.g. “B03”) and state your
See the website www. sfb1294.de for further information or contact Sebastian
Language of Dissertation
Letter of Motivation
List of Publication
Others : names and e-mail addresses of at least two referees + reference
https: // www. sfb1294.de/fileadmin/userupload/Openpositions/B033rdround.pdf