A Post-doc position is available in the Speech-acoustic scene analysis and interpretation - SHINE Unit at Bruno Kessler Foundation, Center for Information Technology.

The Bruno Kessler Foundation (FBK) conducts research activities in Information Technology, Materials and Microsystems, Theoretical Physics, Mathematics, Italian-Germanic historical studies, Religious studies and International Relations. Through its network, it also develops research in the fields of international relationships, conflict causes and effects, European economic institutions, behavioral economics and evaluative assessment of public policies.

Workplace description

The SHINE unit conducts research on acoustic signal processing and interpretation, mainly concerning speech signals acquired by multi-microphone systems in indoor environment. The research aims to progress in the scientific areas of Acoustic Scene Analysis and Speech Interaction under noisy and reverberant conditions, in particular with a speaker at distance from the microphones.

More information about SHINE unit is available at the following link: http://shine.fbk.eu 

Job description

The SHINE Research Unit is looking for a candidate to carry out research activities in the field of Distant Speech Recognition. Applications are invited for a post-doctoral researcher who will work under the DIRHA project funded by the EU (http://dirha.fbk.eu) and other internal research activities. This project aims to study voice-based systems in domestic environments supporting natural speech interaction using distant microphones e.g. for supporting motor-impaired persons. Main field of research are multi- channel acoustic processing, distant speech recognition and understanding, speaker identification and verification, spoken dialogue management.

Job requirements

• PhD degree in computer science or engineering, involving speech processing;

• background in one or more of the following areas: speech enhancement; noise robust speech recognition; adaptation techniques for acoustic modelling; experience of the design and construction of speech recognition systems; familiarity with software tools such as HTK, Kaldi or Praat; 

• strong research track record with significant publications at leading international conferences or in journals;

• skills in experimental work and development of algorithms;

• highly motivated to undertake challenging applied research;

• oral and written proficiency in English.

  In adherence to FBK's policy to promote equal opportunity and gender balance, in case of equal applications, female candidates will be given preference.