Job offer in INSPIRE

[Henk van den Heuvel]

*PhD Student 'Increasing Robustness of Speech Recognition' (1,0 fte)*


*Faculty of Arts*
*Vacancy number: 23.02.12*
*Closing date: 1 April 2012*


*Responsibilities*
As a PhD student you will participate in the FP7 Marie Curie Initial
Training Network Investigating Speech Processing In Realistic Environments
(INSPIRE). This network provides research opportunities for 13 PhD students
and 3 postdocs. You will become a member of an international team of
researchers whose aim is to gain a better understanding of how listeners
recognize speech, even under non-ideal circumstances. You will contribute
to urgently needed solutions that help alleviate the serious communication
problems that arise, especially for older and hearing-impaired persons,
when different combinations of 'adverse' conditions affect the speech
processing system. As a PhD student you will conduct research as part of a
project called ’Increasing robustness of speech recognition by using
multiple signal representations’.
Speech processing in the human brain presumably involves competition
between multiple, intermediate signal representations. The redundancy of
these different representations are assumed to help improve the robustness
of recognition. In some cases, however, they may lead to conflicting
interpretations resulting in intelligibility problems. The goal of this PhD
project is to investigate to what extent human recognition errors with
regard to speech in ’adverse’ conditions can be replicated by machines that
were trained on multiple input representations which are partially
redundant.

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*Work environment*
The project will be carried out at the Centre for Language and Speech
Technology (CLST). CLST is a research unit within the Faculty of Arts of
Radboud University Nijmegen and hosts a large international group of senior
researchers and PhD students who conduct research at the frontier of
science and develop innovative applications.

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*What we expect from you*
You should:
- hold a Master's degree in engineering or science;
- have a strong background in machine learning (experience with dynamic
Bayesian networks would be an advantage), mathematical and/or statistical
modelling, and signal processing;
- have excellent programming skills;
- be willing to spend several months at the Technical University of
Denmark.
Prior exposure to courses in linguistics or speech- or hearing-related
fields would be an advantage.

Furthermore, you should comply with the rules set forward by the FP7 Marie
Curie ITNs, i.e. you should:
- not have resided of performed your main research activity in the
Netherlands for more than 12 months in the last three years;
- be willing to work in at least one other country in the INSPIRE network;
- have less than 4 years of research experience since you obtained your
Master’s degree, and not hold a PhD.

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*What we have to offer*
We offer you:
- employment: 1,0 fte;
- in addition to the salary: an 8% holiday allowance and an 8.3%
end-of-year bonus;
- the starting salary is €2,042 per month on a full-time basis; the salary
will increase to €2,492 per month in the third year;
- in addition to the salary, you will receive travel and training
allowances on the basis of generous Marie Curie ITN provisions;
- duration of the contract: 18 months with the possibility of extension by
another 18 months.

Are you interested in our excellent employment
conditions<http://www.ru.nl/english/arbeidsvoorwaarden>(
http://www.ru.nl/newstaff/working_at_radboud/conditions_of/)?

The Radboud University is an equal opportunity employer. Female researchers
are strongly encouraged to apply for this vacancy.

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*Would you like to know more?*
Further information on: Investigating Speech Processing In Realistic
Environments <http://www.ru.nl/clst/projects/speech/INSPIRE> (
http://www.ru.nl/clst/projects/speech/inspire/)

Dr. Bert Cranen, assistant professor Speech science
Telephone: +31 24 3612904
E-mail: B.Cranen at let.ru.nl

* *

*Applications*
Are you interested?
Please include with your application:
- a CV;
- a 2-page description of your research interests explaining why the
INSPIRE goals appeal to you, how the INSPIRE team may benefit from your
participation, and your career perspectives as expected from INSPIRE;
- university transcripts;
- names and email addresses of two potential referees (or alternatively
letters of recommendation).
It is Radboud University Nijmegen's policy to only accept applications by
e-mail. Please send your application, *stating vacancy number 23.02.12*, to
vacatures at let.ru.nl, for the attention of drs. M.J.M. van Nijnatten, before
1 April 2012.

*No commercial propositions please.*

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