We have an open position for a researcher to work on situated dialogue processing in the context of the EU-funded project TRADR (Long-Term Human-Robot Teaming for Robot- Assisted Disaster Response).
The successful candidate will do research and develop technology for processing situated dialogue in human-robot teams carrying out search and rescue missions. His/Her work will contribute to our understanding and computational modelling of distributed joint situation awareness and mutual expectation management in human-robot teams working in missions that may last several days, weeks or months. Particular focus is on social awareness (e.g., of roles and responsibilities in the team, varying stress levels), adaptation, resilience to unexpected developments and learning from experience. The job tasks include collection of human-human and human-roobot interaction data during trials in realistic scenarios with end users; data analysis; research and design of suitable dialogue processing methods; implementation of components for an integrated system; evaluation; contribution to project reports and publications; participation in project meetings and conferences; system demonstration activities.
The successful candidate is expected to have a master degree (or higher) in computational linguistics or computer science. Research or development experience in one or more relevant ares, such as human-robot interaction, natural language processing, spoken dialogue systems and/ormachine learning approaches in AI is highly desirable, as are provable software development skills. Excellent command of English (oral and written) is essential; proficiency in German is a plus but not required. The ideal applicant will have very good communication skills, will be known to show initiative and will be a dependable team player, who delivers high quality results on time.
Starting date and duration
Starting date of the position is as soon as possible. The position is available for a fixed term until December 31, 2017, with opportunities for extension depending on performance and future funding.
Please send your electronic application (preferably in PDF format) and inquiries to email@example.com, referring to the job opening no. 74-15/JvG. A meaningful application should include a cover letter, a CV, a brief summary of research interests, a statement of interest in the position offered, and contact information for three references. The position remains open until it is filled.