CALL ISTC-IR-1-2025-RM - "PhD Topic DC2 “Spatial communication in Sign Languages in Typical Ageing”

The Institute of Cognitive Sciences and Technologies of CNR, Rome, Italy, is seeking to fill one positions for Doctoral Research Associates (salary level E 13 TV-L, 100%, 32 months fixed term) for the EU-funded Marie Skłodowska-Curie Actions (MSCA) doctoral network “Spatial Communication and Ageing Across Languages (SCALA)”.
1. Requirements

Education Level: Master Degree or equivalent

- The position is open to candidates (of any nationality) who meet the requirements for Doctoral Candidates (DC) funded by Marie Skłodowska-Curie Actions (MSCA). An equal opportunities policy will be applied without distinctions on the basis of gender, racial or ethnic origin, religion or belief, disability, age or sexual orientation.

Funded researchers must be Doctoral Candidates (DC), i.e. not in possession of a doctoral degree at the date of recruitment. Researchers who have successfully defended their doctoral thesis but have not yet formally obtained the doctoral degree will not be considered eligible.

- Researchers are required to undertake transnational mobility (i.e. to move from one country to another) at the time of taking up the position.

- At the time of selection by the host organization, researchers must not have resided or carried out their main activity (work, studies, etc.) in Italy, the country of the host organization, for more than 12 months in the 3 years immediately preceding recruitment. Short stays, such as holidays, are not taken into consideration.

- At the time of selection researcher must have to possess a master's degree or single-cycle degree for no more than six years

- Excellent knowledge of written English

Preferred qualifications (any of the following demonstrated competences will be positively evaluated):

a) experience in transcribing, coding and analyzing data related to gestures and/or Sign Language;

b) experience in using video transcription software (e.g. ELAN);

c) knowledge of quantitative and qualitative methods of computational linguistics;

d) experience in statistical analysis and in the use of dedicated software (e.g. R);

e) experience with programming software (e.g. Python).