Inhalt des Dokuments
Doctoral candidate in Computational Neuroscience - Language representation in bilinguals
Technische Universität Berlin offers an open position:
Research Assistant - salary grade E 13 TV-L (PhD candidate)
Language representation in bilinguals
Duration: ~34 months (up to 31.12.24)
Starting date: April 1st, 2021 (earliest)
Application reference number ("Bewerbungskennziffer"): IV-27/21
Application deadline: February 19th, 2021
Applications will be accepted until the position is filled.
Faculty IV - Institute of Software Engineering and Theoretical Computer Science / Neural Information Processing
Working field:
The successful candidate is supposed to work on
- developing a computational modeling framework of brain signals to understand how language in represented in bilinguals
- modeling fMRI data using deep learning based machine learning techniques
- language related features will be extracted using computational linguistics and state-of-the-art Natural Language Processing tools
- PhD thesis preparartion is possbile
Qualifications:
Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; very good knowledge in fMRI data acquisition and analysis, machine learning and Natural Language Processing is mandatory; very good programming skills (Python); fluent written and spoken English skills are mandatory and/or good command of German required; willingness to improve either English or German to the indicated level is expected
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 Dr. Deniz, FG Neuronale Informations-verarbeitung, Sekr. MAR 5-6, Marchstr. 23, 10587 Berlin, Germany, or - preferably - by e-mail to deniz@tu-berlin.de. For information about the research group see https://www.ni.tu-berlin.de/
To guarantee equal opportunities between men and women, applications of women with respective qualifications are explicitly welcome. Severely handicapped persons will be privileged on equal qualification.