33.2647, Jobs: Cognitive Science; Neurolinguistics; Psycholinguistics: Postdoc position (Analysis of kinematic/EMG data on sign language), University of Salzburg

Wed Aug 31 14:34:23 UTC 2022

LINGUIST List: Vol-33-2647. Wed Aug 31 2022. ISSN: 1069 - 4875.

Subject: 33.2647, Jobs: Cognitive Science; Neurolinguistics; Psycholinguistics: Postdoc position (Analysis of kinematic/EMG data on sign language), University of Salzburg

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Date: Wed, 31 Aug 2022 14:33:48
From: Julia Krebs [julia.krebs at plus.ac.at]
Subject: Cognitive Science; Neurolinguistics; Psycholinguistics: Postdoc position (Analysis of kinematic/EMG data on sign language), University of Salzburg, Salzburg, Austria

University or Organization: University of Salzburg 
Job Location: Salzburg, Austria 
Job Title: Postdoc position (Analysis of kinematic/EMG data on sign language)
Job Rank: Post Doc

Specialty Areas: Cognitive Science; Neurolinguistics; Psycholinguistics 

Description:

The Department of Linguistics at the University of Salzburg invites
applications for a position as a Postdoctoral researcher. The Postdoctoral
researcher will support the work of Dr. Roehm (Cognitive Neuroscience), Dr.
Krebs (Sign Language Psycholinguistics) and Dr. Schwameder (Kinesiology). The
successful applicant will analyze motion capture and EMG data to develop
kinesiology-based algorithms for sign language production in Deaf users of
Austrian Sign Language, and hearing sign language learners. The post will
include data collection of kinematic variables using motion capture and EMG
modalities, followed by data analysis and modeling of sign production learning
trajectories. The work will be conducted in collaboration with an
international team in the framework of the FWF funded Project “The Grammar of
Sign Language Movement”, with the office space and laboratories available both
at the Department of Sport and Exercise Science and Department of Linguistics.

This full-time post is available from 1. October 2022 on a fixed term basis
until 30. September 2026 (4 years). This role offers the opportunity for
hybrid working – some time on campus and some from home.

The gross salary per month will be 4.061,50€.

The applicant will be responsible to implement the project-goals from data
collection, data analysis and scientific reporting in close cooperation with
the project team.

About you:
 - Applicants will possess a relevant PhD (or be nearing completion) or
possess an equivalent qualification/experience in Kinesiology, Human-Computer
Interaction, Electrical Engineering, Motor Control, or Computer Science.
 - The group’s language of interaction is English; knowledge of German is not
essential
 - Applicants will have experience with collecting kinematic and EMG data, and
be able to analyze and model multimodal data in any of the typically used
programming environments (MATLAB, Python, R...) using appropriate statistical
and/or machine learning approaches.
 - Experience with kinematic motion capture systems beneficial (Qualisys, V3D,
MATLAB, etc.)
 - The applicant will have good writing skills and an interest in developing a
strong publication record.
 - The successful applicant will be independent, responsible, outcome-focused,
committed to research, and flexible in working with a large interdisciplinary
team.
 - The applicant will have very good organizational skills necessary for
conducting/documenting experiments and data analyses procedures.
 - Experience in supervising PHD students and student assistants for research
activities is welcome.
 - Experience with any sign language beneficial, but not essential.

What we can offer you:
 - Freedom (and the support) to pursue your intellectual interests and to work
creatively across disciplines to produce internationally exciting research.
 - Support teams that understand the University wide research and teaching
goals and partner with our academics accordingly.
 - Possibilities for education and trainings, including participation in
international conferences, Austrian Sign Language classes, etc.
 - Teaching and academic organizing experience can be arranged, although it is
not required.
 - Staff benefits such as access to the infrastructure of the University of
Salzburg (e.g. research office, office for internationalization) or specific
continuing education programs offered  specifically to University staff.
 - A campus setting in historical Salzburg

Application should include the following supplemental materials:
 - Cover letter explaining qualifications for the position (maximum of two
pages) 
 - Three representative publications
 - Curriculum Vitae (CV)

Applicants must send all application materials to Professor Dietmar Roehm at
the email address below.

Application Deadline: 10-Sep-2022 

Email Address for Applications: Dietmar.Roehm at plus.ac.at 
Contact Information:
	Prof. Dietmar Roehm 
	Email: Dietmar.Roehm at plus.ac.at 

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