PhD position in the Lindner Lab
Field: Calcium spiking with cumulative refractoriness - statistics of the fluctuations and implications for Calcium signaling
We are looking for a PhD candidate to theoretically explore models of noisy spike-generating cellular signalling systems for which the intracellular Calcium dynamics is a prominent example. Methods will be developed within the frameworks of the theory of stochastic processes, statistical physics and nonlinear dynamics.
The project is a collaboration between the research groups of Martin Falcke (Max-Delbrueck Center for Molecular Medicine Berlin and Humboldt University Berlin) and Benjamin Lindner (Bernstein Center for Computational Neuroscience Berlin and Humboldt University Berlin) and the PhD students of both groups are expected to closely collaborate.
To be filled: Feb 1, 2019
Application due: The deadline for applications is December 31st 2018, however, later applications might also be considered.
Funding is provided for three years, starting at the latest February 1, 2019. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/index_html?set_language=en.
Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to me
email@example.com (cc to firstname.lastname@example.org)
HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants
with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return
your documents, please submit copies in the application only.
The successful candidate should have a degree in physics (a background in physical biology is desirable but not obligatory), expertise in analytical calculations, programming skills (C++ or C, Python, LaTeX, Linux), and excellent command of the English language, good communication skills, and team spirit.
Professor for Theory of Complex Systems and Neurophysics
Bernstein Center for Computational Neuroscience Berlin
Philippstr. 13 Haus 2
phone: +49-30-2093 6336
PhD position in the Blankertz Lab
Field: Active Learning for better co-adaptation of user and BCIs
To be filled: as soon as possible.
Application due: Nov 2, 2018
This notice relates to the position in project P5 ("Active Learning for better co-adaptation of user and BCIs"), which focuses on research at the interface between computer science, in particular machine learning, and neuroscience. * The specific tasks are: - Research in neurotechnology, in particular in the development of algorithms based on machine learning - Implementation and validation of algorithms in Online BCI Systems - Implementation of EEG studies and supervision of laboratories - Active participation in the DAEDALUS Research Training Group - Writing articles in scientific journals; presentations at international conferences. - Cooperation with international partners
Successfully completed university degree (Master, Diplom or equivalent) in Computer Science, Mathematics, Biomedical Data Analysis, Cognitive Neuroscience or other related disciplines; sound knowledge of multivariate data analysis using machine learning techniques; an excellent command of English, together with good academic writing and presentation skills. Extensive programming experience in data analysis with Python or Matlab is desirable. The willingness and ability to work interdisciplinary in an international team is expected. Preference is given to applicants with experience in the design, implementation and evaluation of EEG studies for decoding mental states and with expertise in the analysis of brain signals using machine learning techniques (in particular single-trial EEG classification).
Full information and instruction for applying: https://tub.stellenticket.de/en/offers/56208
Berlin Institute of Technology
Chair for Neurotechnology
Sekr. MAR 4-3,
Phone (+49 30) 314-78626
PhD position in the Obermayer Lab
Field: Brain network models: Dynamics and Control
To be filled: Jan 1, 2019
Application due: Oct 26, 2018
Reference number: IV-570/18
Applications received after this date may still be considered.
Tenure: max. 4 years
Remuneration: E-13 TV-L, 100 %
Description Benefits of noise in the transmission and processing of time-dependent stimuli by populations of sensory neurons
The successful candidate is supposed to work on the analysis and simulation of calibrated whole-brain networks using neuronal mass models and on the design and evaluation of novel control schemes for
the stabilization of and the switching between their dynamical states. She/he will be part of the Collaborative Research Center “Control of self-organizing nonlinear systems: Theoretical methods and concepts
of application” (https://www.itp.tu-berlin.de/sfb910/sonderforschungsbereich_910/sonderforschungsbereich_910/) as well as the Bernstein Center for Computational Neuroscience Berlin
(https://www.bccn-berlin.de/). The candidate is also expected to interact with clinical scientists who are interested in the non-invasive manipulation of the whole-brain dynamics using transcranial current stimulation.
Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Mathematics, Physics, or related fields; in-depth knowledge in non-linear dynamics and stochastic processes; very good programming and English language skills.
How to apply:
Please send your application with the usual documents (CV, motivation letter, transcripts of records, certificates, and the names of two persons who can provide recommendation letters) to TU Berlin
Prof. Dr. Obermayer
FG Neuronale Informationsverarbeitung
Sekr. MAR 5-6
10587 Berlin, Germany or by e-mail to email@example.com
For information about the research group see https://www.ni.tu-berlin.de/
Please send copies only. Original documents will not be returned.