[Elsnet-list] PhD Student 'Increasing Robustness of Speech Recognition' for the INSPIRE project

Henk van den Heuvel H.vandenHeuvel at let.ru.nl
Mon Jun 11 13:06:33 CEST 2012


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


Renewed Job opening !

Faculty of Arts
Vacancy number: 23.02.12
Closing date: 7 July 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. You will conduct your research in the framework of 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.



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.



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.



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/newstaff/working_at_radboud/conditions_of/)?

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



Would you like to know more?
Further information on: Investigating Speech Processing In Realistic
Environments (http://www.inspire-itn.eu/)

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 7 July 2012.

No commercial propositions please.


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