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Predoctoral PhD Position in Cognitive Neuroscience, Language, and Dyslexia at the University of Vienna University of Vienna in Austria
Degree Level
PhD
Field of study
Computer Science
Funding
Paid university assistant predoctoral position at the University of Vienna with a basic salary of EUR 3,776.10 gross per month on a full-time basis, increased with credited professional experience. Employment is initially limited to 1.5 years, automatically extended to 3 years if not terminated in the first 12 months, with possible extension up to 4 years depending on progress.
Deadline
Sep 19, 2026
Country
Austria
University
Universität Wien
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About this position
The University of Vienna is advertising a predoctoral / PhD-level university assistant position in the Department of Behavioral and Cognitive Biology within the Faculty of Life Sciences. The successful candidate will join the Brain and Language Lab led by Prof. Narly Golestani.
The doctoral project will be developed jointly with the selected candidate and tailored to their background and interests. The lab studies the neurobiological foundations of language and auditory processing, with a focus on individual differences, multilingual and multiliterate experience, language aptitude, dyslexia, brain anatomy, and experience-dependent plasticity. Methods may include structural and functional neuroimaging, EEG/MEG, behavioural methods, computational modelling, automated neuroanatomical phenotyping, machine learning, and advanced statistics.
Possible research directions include relationships between multilingualism, language aptitude, dyslexia, and brain structure/activation/connectivity; neural systems supporting visual word-form processing, spoken language, music, and spatial navigation; and markers of risk, resilience, or compensation associated with dyslexia. The project may use existing multimodal adult datasets, including the NEBULA101 dataset.
The position is part of the Vienna Doctoral School in Cognition, Behaviour and Neuroscience (CoBeNe), offering interdisciplinary doctoral training and scientific exchange across psychology, neuroscience, behavioural biology, and related fields.
Eligibility highlights: completed Master’s degree or equivalent in psychology, biomedical engineering, cognitive neuroscience, neuroscience, cognitive science, computer science, data science, physics, or another relevant discipline; strong programming and statistics background; empirical research experience in cognitive neuroscience; excellent English; and motivation to complete a dissertation. Experience with MRI, EEG, MEG, neuroimaging analysis, machine learning, computational modelling, Linux/HPC, and reproducible research is desirable.
Funding: this is a paid university assistant position with a gross monthly salary of EUR 3,776.10 on a full-time basis, with possible increases based on prior experience. The contract is initially limited to 1.5 years and may extend to 3 years automatically, with a possible total duration of up to 4 years.
Application deadline: 19 September 2026. Apply through the University of Vienna job portal and submit a motivation letter, CV, degree proof, transcript, and referee contacts in English.
Funding details
Paid university assistant predoctoral position at the University of Vienna with a basic salary of EUR 3,776.10 gross per month on a full-time basis, increased with credited professional experience. Employment is initially limited to 1.5 years, automatically extended to 3 years if not terminated in the first 12 months, with possible extension up to 4 years depending on progress.
What's required
Completed Master’s degree or equivalent in psychology, biomedical engineering, cognitive neuroscience, neuroscience, cognitive science, computer science, data science, physics, or another relevant discipline; applicants from other backgrounds are welcome if their training and research experience show substantial preparation in cognitive neuroscience and quantitative methods. Required are research experience in cognitive neuroscience with empirical behavioural and/or neuroscientific data, strong programming skills in at least one language such as Python, R, or MATLAB, a strong background in statistics and quantitative research methods, experience with experimental design, data processing and interpretation of complex datasets, scientific writing experience (for example an empirical Master’s thesis), excellent written and spoken English, ability to work independently and collaboratively, strong organisational/communication/problem-solving skills, and motivation to complete a doctoral dissertation. Desirable: MRI/EEG/MEG experience, neuroimaging analysis, connectivity/morphometry/signal processing, multivariate statistics, machine learning, computational modelling, Linux/HPC/version control/reproducible research, prior work on language/reading/auditory processing/multilingualism/dyslexia, teaching/supervision/communication experience, and German is helpful but not required.
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Professors
Prof.
Austria
Research Interests
Psycholinguistics
Cognitive Neuroscience
Neuroscience
Neuroimaging
Auditory Perception
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.