There is now an open PhD position in the Department of Civil Engineering that will be coupled with an externally financed research project entitled “A methodology to determine optimal water distribution network work programs (WATERWORKS)”.

PhD Position in the maintenance planning of a water distribution network

The objective of this work is to develop a methodology to be used to determine optimal work programs for a global drinking water system, including treatment plants, storage tanks, pumping stations, and the distribution network. This methodology will have the potential to be used by water network managers to take into consideration the many factors that are required in making decisions both now and in the future, along with the uncertainty associated with these factors, as to when, where and how to intervene on the network. It will include the development of standardized processes for the collection and administration of data and information.The project will be conducted in the Institute of Construction and Infrastructure Management under the direction of Prof. Dr. Bryan T. Adey, and will involve regular interaction with the manager of the water distribution network.

The successful candidate for the PhD position will have a Master’s in civil engineering, environmental engineering or systems engineering and will have a keen interest in the modelling of network behavior, operations research and the management of infrastructure. It is beneficial if the successful candidate has an interest in information management systems. As the manager of the water distribution network is French speaking, the successful candidate must speak French fluently. The ability to speak and work in English or German is beneficial.

For further information please contact Mrs. Anne-Marie Weiersmüller by e-mail weiersmueller@ibi.baug.ethz.ch (no applications) and visit our website www.ibi.baug.ethz.ch.

Applications must include a letter of interest, CV (with list of publications and contact information of two referees)  and grades of all university courses taken and should be sent online with attention to:

ETH Zurich, Mrs. Corina Niescher, Human Resources, CH-8092 Zürich by February 28th, 2015. Screening of applications starts on March 1st, 2015.

link:

https://pub.refline.ch/845721/3714/++publications++/1/index.html

 

** 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.de<mailto:johannes.faehndrich@dai-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/
_______________________________________________

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.