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
benjamin.lindner@physik.hu-berlin.de 
(cc to nikola.schrenk@bccn-berlin.de)


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.

Requirements:
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.


Contact:
Benjamin Lindner
Professor for Theory of Complex Systems and Neurophysics
Bernstein Center for Computational Neuroscience Berlin
Philippstr. 13 Haus 2
10115 Berlin
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

Requirements:

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


Contact:
Benjamin Blankertz
Berlin Institute of Technology
Chair for Neurotechnology
Sekr. MAR 4-3,
Marchstr. 23
D-10587 Berlin
benjamin.blankertz@tu-berlin.de
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

Working field:
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.

Requirements:
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
Marchstr. 23,
10587 Berlin, Germany or by e-mail to klaus.obermayer@tu-berlin.de
For information about the research group see https://www.ni.tu-berlin.de/
Please send copies only. Original documents will not be returned.