Postdoctoral fellowships in Speech Technology
Faculty of Information Technology, Mathematics and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) has available a 100% position as a postdoctoral fellow in the Department of Electronics and Telecommunications.
The appointment is for a period of 3 years.
In f ormation about the department
The department has 19 professors, 15 1.amanuensis / Adjunct Professor, 65 PhD students and 9 postdoctoral fellows / scholarships, and has overall responsibility for education and research in electronics at the university. The department has six disciplines: Acoustics, electro-optics, circuit and system design, material and component technologies, radio systems and signal processing. Signal Processing group works with digital signal processing, including information and communication theory, digital communications, speech technology and multimedia signal processing, and signal processing for medical applications. The position is academically linked to signal the group, but will also have significant cooperation with phoneticians in the Department of Language and Literature.
Responsibilities and duties
Postdoctoral scholarship is affiliated research project ” Atomic Units for Language Universal Representation of Speech “ . The project will examine an alternative to traditional, fonembasert speech recognition by turning the hierarchy upside down, and promotes an approach to speech recognition based on detecting the traits and characteristics that are associated with speech production and articulation, and are therefore universal. The detection is the basis for learning basic pattern, “atoms” that all speech is made up of, from limited amounts voice data. This set of basic units will form the link between the acoustic signal has great variety and invariant, meaningful symbols, creating the basis for more robust and reliable speech recognition. The project will further demonstrate the potential of the new methodology in applications such as automatic language detection and speaker recognition. In a related project, articulatory inversion for improved pronunciation training, will work with acoustic-phonetic inversion linked to evaluation of pronunciation for language learning of foreign language.
We seek a highly motivated person with a PhD in signal processing, statistical machine learning or other relevant disciplines, who are interested in the phonetic and articulatory characteristics of speech. Applicants must be motivated teamwork and able to work independently in a collaborative environment.
Qualifications
A completed Norwegian PhD in signal processing, statistical machine learning or other relevant disciplines, or equivalent doctorate from another country that is considered to be at the same level as a Norwegian doctorate. Personal fitness will be strongly emphasized.
Applicants who do not speak a Scandinavian language must demonstrate good English skills. The following tests may be used for such evidence: TOEFL, IELTS and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum “scores” are:
- TOEFL: 600 (paper-based test), 92 (internet-based test)
- IELTS: 6.5, with no section lowerthan 5.5 (only Academic IELTS test accepted)
- CAE / CPE: Grade B or A.
We can offer
- an informal and pleasant workplace with committed colleagues
- professional challenges
- good loan, insurance and pension schemes in the state pension
Further information can be obtained from Professor Torbjørn Svendsen, tel. 73592674 (office), 93080477 (mobile), email: torbjorn@iet.ntnu.no.
L ønnsbetingelser
The appointment is at code 1352, postdoctoral fellow, salary grade 57-77 in the national salary scheme, gross NOK. 483 400 – 711 500 per year, depending on qualifications. From this 2% is deducted for the State Pension Fund.
General
The appointment is subject to the conditions at any time apply for government officials.
A good working environment is characterized by diversity. We encourage qualified applicants to apply regardless of age, sex, disability or cultural background.
According to the Freedom of Information Act § 25 information concerning the applicant be made public even though the applicant has requested not to be listed on the list of applicants.
Applications with CV and certified copies of diplomas and certificates to be sent electronically via this page with information about education, relevant work experience (all in one unified pdf file). Application should be marked IME 033-2015.
Deadline: 13/07/2015
Further details