Apologies for cross-postings.

Master internship and PhD position in Conditional Random Field learning for Sentiment Analysis in Phone Conversations

Telecom ParisTech (http://www.telecom-paristech.fr/eng/)
37 rue Dareau, 75014 Paris - France

Advisors:
Chloé Clavel  (http://clavel.wp.mines-telecom.fr/)
Slim Essid  (http://perso.telecom-paristech.fr/~essid/)

Starting date: Anytime from February to June 2015

Funding: Secured with the Telecom ParisTech Machine Learning for Big Data Chaire (http://machinelearningforbigdata.telecom-paristech.fr)

Keywords: Sentiment Analysis, Opinion Mining, Machine Learning, Conditional Random Fields, Natural Language Processing, Audio and Speech Processing

Applications are invited for a 3 to 6 month master internship to be continued by work towards a PhD for a duration of 36 months. Outstanding candidates will be considered to start the PhD work immediately, without doing the internship.

Topic:
Sentiment analysis and opinion mining have gained an increasing interest with the explosion of textual content conveying users’ opinions (e.g. film reviews, forum debates, tweets). Hence, natural language processing researchers have dedicated a great deal of effort into the development of methods amenable to opinion detection in such texts, though often simplifying the problem to one of classification over the valence (positive vs negative) and intensity axes. As for sentiment analysis in speech signals, there have been hardly any attempts. Further challenges are posed in this case where not only should the special features of spoken language be taken into account, but also prosodic features and the potential errors of automatic speech recognition systems.
The research work planned will focus on the development of sentiment analysis methods in the context of phone conversations. The privileged research direction will consist in exploiting the appraisal theory adapted to the verbal content (as defined by psycho-linguists) in order to create effective computational models of evaluative expressions. In particular, Conditional Random Fields will be considered with feature functions encoding the semantic rules usually used for our task.

IDEAL CANDIDATE:
Master’s student or Master’s degree with background in
-    Machine learning / pattern recognition
-    Speech processing, natural language processing
-    Excellent programming skills (Python, Java, C/C++)
-    Good English level

APPLICATIONS :
To be sent to chloe.clavel@telecom-paristech.fr, slim.essid@telecom-paristech.fr,:
-    Curriculum Vitae
-    Statement of interest (in the body of the email)
-    Academic records
-    List of references

Incomplete applications will not be considered.

The successful candidate will develop models for machine perception and control that are capable of compositional and open-ended learning, and study their biological plausibility.

Nationality: Open to all.
Deadline: 1st March 2015.
Interviews expected: March 2015.
Start Date: Spring 2015.

For more details and a application:
http://www.jobs.ac.uk/job/AKL097/phd-studentship-in-autonomous-learning/
For queries contact: Dr. Timothy Hospedales t.hospedales@qmul.ac.uk --

** Technische Universität Berlin - Department of Computer Science **


Starting as soon as possible a fully funded research position is available at the Distributed Artificial Intelligence Laboratory at the TU-Berlin.


The DAI-Labor at the Technische Universität Berlin is looking for a doctoral research associate in the areas of semantic service composition, artificial intelligence, smart environments and electric mobility. The candidate will be responsible for including leading a team of students, managing projects, writing project proposals as well as communicating with national and international partners.
Assignment:


•        Research in semantic service composition, adaptive systems, user modelling, and semantic service interconnection


•        Evaluation in the areas of  smart environments, e-mobility services, adaptive and dynamic service compositions


•        Leading and supervision of a team of students


•        Preparation of scientific publications


•        Conceptual design of projects


•        Acquisition and management of third party funded projects


•        Communication with external project partners
Your profile


•        Master degree in computer science or a discipline related to the research area


•        Knowledge in the field of model-based development and model-driven engineering would be appreciated.


•        Experience in project and team management, very good social and effective communication skills


•        Willingness  for independent scientific work


•        Maker and doer, used to take initiative, and a team player


•        Excellent spoken and written English, German is a plus


•        Experience in teaching
We offer


•       Exciting topics and a vibrant environment


•       Excellent state-of-the-art infrastructure with access to new and emerging technologies


•       A smart home environment and living lab for evaluation of results


•       Close collaboration with national and international partners from research institutes, universities and industry


•       Possibility to pursue Phd
About the DAI-Labor
The DAI-Labor and the chair "Agent technologies in business applications and telecommunication" at the Technische Universität Berlin, headed by Prof. Dr. Dr. hc Sahin Albayrak, perform research and development in order to provide solutions for a new generation of systems and services – "smart services and smart systems".
Research at the DAI-Labor is done in competence centers, which address different areas, ranging from investigation of the foundations of distributed systems and machine learning, to enhancing security in networks and interactive systems. The scientific grounding and results of the competence centers are used to develop system solutions in different application centers. The application centers focus on the development of intelligent services and systems to deal with current and future challenges of society. State-of-the-art testbeds allow validating and demonstrating these services in realistic scenarios. Close cooperation with industry partners ensures an approach that is both practical and solution oriented. All of this allows the DAI-Labor to develop technologies within a university environment that meets even the highest industry standards.
For further information regarding this position and our institute, please see our website http://www.dai-labor.de, or contact Johannes Fähndrich at johannes.faehndrich@dai-labor.dedai-labor.de>.
Applications including a CV, a brief description of their research interests, copies of their university degree and/or study transcripts, and a list of publications should be sent to bewerbungNGS@dai-labor.de<mailto:bewerbungNGS@dai-labor.de>, with reference  IV-496/14 no later than February 27th, 2015.
To apply please send you application to: Technische Universität Berlin - Der Präsident - , Fakultät IV, Institut für Wirtschaftsinformatik und Quantitative
Methoden, DAI-Labor, Prof. Dr. Dr. Albayrak, Sekr. TEL 14, Ernst-Reuter-Platz 7, 10587 Berlin.


More details can be found here: http://www.personalabteilung.tu-berlin.de/menue/jobs/externe_jobs/
_________________________

Master internship and PhD position in Conditional Random Field learning for Sentiment Analysis in Phone Conversations

Telecom ParisTech (http://www.telecom-paristech.fr/eng/)
37 rue Dareau, 75014 Paris - France

Advisors:
Chloé Clavel  (http://clavel.wp.mines-telecom.fr/)
Slim Essid  (http://perso.telecom-paristech.fr/~essid/)

Starting date: Anytime from February to June 2015

Funding: Secured with the Telecom ParisTech Machine Learning for Big Data Chaire (http://machinelearningforbigdata.telecom-paristech.fr)

Keywords: Sentiment Analysis, Opinion Mining, Machine Learning, Conditional Random Fields, Natural Language Processing, Audio and Speech Processing

Applications are invited for a 3 to 6 month master internship to be continued by work towards a PhD for a duration of 36 months. Outstanding candidates will be considered to start the PhD work immediately, without doing the internship.

Topic:
Sentiment analysis and opinion mining have gained an increasing interest with the explosion of textual content conveying users’ opinions (e.g. film reviews, forum debates, tweets). Hence, natural language processing researchers have dedicated a great deal of effort into the development of methods amenable to opinion detection in such texts, though often simplifying the problem to one of classification over the valence (positive vs negative) and intensity axes. As for sentiment analysis in speech signals, there have been hardly any attempts. Further challenges are posed in this case where not only should the special features of spoken language be taken into account, but also prosodic features and the potential errors of automatic speech recognition systems.
The research work planned will focus on the development of sentiment analysis methods in the context of phone conversations. The privileged research direction will consist in exploiting the appraisal theory adapted to the verbal content (as defined by psycho-linguists) in order to create effective computational models of evaluative expressions. In particular, Conditional Random Fields will be considered with feature functions encoding the semantic rules usually used for our task.

IDEAL CANDIDATE:
Master’s student or Master’s degree with background in
-    Machine learning / pattern recognition
-    Speech processing, natural language processing
-    Excellent programming skills (Python, Java, C/C++)
-    Good English level

APPLICATIONS :
To be sent to chloe.clavel@telecom-paristech.fr, slim.essid@telecom-paristech.fr,:
-    Curriculum Vitae
-    Statement of interest (in the body of the email)
-    Academic records
-    List of references

Incomplete applications will not be considered.

Mohon ijin untuk berbagi pengumuman Australia Awards Scholarships 2015/16 di bawah ini.

Online applications

Apply online at: https://oasis.ausaid.gov.au

When applying online, all essential supporting documents must be uploaded on OASIS to meet the specific requirements for Indonesia.

We advise applicants submitting online to do so well before the closing date. The online application facility (OASIS) experiences peak usage in the days leading up to the closing date and applicants may experience delays.

Hardcopy applications

For applicants that are unable to apply online via OASIS, may submitted the application via hardcopy.

Please note that we strongly encourage you to apply online via OASIS first and only apply via hardcopy when you are unable to apply online via OASIS.

Hardcopy applications that consist of one (1) set of the application form and all essential supporting documents must be received by 30 April 2015 at the Australia Awards Office.

Application forms can be:

• downloaded from here; or
• obtained from the Australia Awards Office if you do not have access to the Internet.

http://australiaawardsindonesia.org/index.php/en/how-to-apply

Salam,

Taufik

Lero – the Irish Software Research Centre is Irelands national software research centre, headquartered at the University of Limerick and involving all of Irelands seven universities and Dundalk Institute of Technology.

Following significant recent direct grant funding in excess of EUR 30m from Science Foundation Ireland and our industry partners, we are seeking to fill over 40 new research positions. These include:

– Research Fellow: EUR 51,716 – EUR 56,442 p.a.
– Experienced Postdoctoral Researcher: EUR 42,394 – EUR 46,255
– Postdoctoral Researcher: EUR 37,750 Ð EUR 41,181

Given Irelands very competitive taxation rates, these remunerations compare very favourably in an international context.

In addition, Lero is seeking to fill almost 80 PhD positions which are funded by scholarship grants of EUR 23,500 (EUR 18,000 stipend + fees EUR 5,500) per annum for 4 years.

The closing date for applications for the above positions is 27 February 2015

---------------------------------------------------------------------------------

Info lengkapnya baca di:

http://risettalk.com/2015/02/02/irish-software-research-centre-40-post-doc-positions-and-80-phd-positions/