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Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty IV - Insti­tute of Soft­ware Engin­eer­ing and The­or­et­ical Com­puter Sci­ence / Neural Inform­a­tion Pro­ces­sing

Rese­arch Assist­ant - salary grade E 13 TV-L Ber­liner Hoch­schu­len

under the reserve that funds are gran­ted - part-time employ­ment may be pos­sible

Work­ing field:

  • ana­lysis and sim­u­la­tion of cal­ib­rated whole-brain net­works using neur­onal mass mod­els; work on the design and eval­u­ation of novel con­trol schemes for the sta­bil­iz­a­tion of and switch­ing between their dynam­ical states
  • inter­ac­tion with clin­ical sci­ent­ists who are inter­ested in the non-invas­ive manip­u­la­tion of the whole-brain dynam­ics using tran­s­cra­nial cur­rent stim­u­la­tion
  • PhD thesis pre­parar­tion is poss­bile

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 abd stochas­tioc pro­cesses
  • very good pro­gram­ming skills
  • very good Eng­lish skills and or good com­mand of Ger­man required; will­ing­ness to learn either Eng­lish or Ger­man is expec­ted

How to ap­ply:

Please send your writ­ten applic­a­tion with the ref­er­ence num­ber and the usual doc­u­ments to Tech­nis­che Uni­versität Ber­lin - Der Präsid­ent - Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik, FG Neuronale Informationsverarbeitung, Prof. Dr. Obermayer, Sekr. MAR 5-6, Marchstr. 23, 10587 Berlin or by e-mail to klaus.obermayer@tu-berlin.de.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.

Please send copies only. Original documents will not be returned.