Cloud Computing Search

Tuesday, August 18, 2015

PhD / Post-doc position in Natural Language Processing at the University of Mannheim


The Data and Web Science Research Group at the University of Mannheim invite applications for

ONE PHD / POSTDOC POSITION IN TEXT ANALYSIS

The researcher is expected to contribute to the C4 project on "Measuring a common space and the dynamics of reform positions" within the DFG-funded Collaborative Research Centre (SFB) 884 "Political Economy of Reforms" (http://reforms.uni-mannheim.de) at the University of Mannheim. The topic of the PhD will focus on exploiting computational methods for analysing discourse phenomena like, e.g., uncertainty, vagueness and bias in political texts. This is a joint collaboration between the Natural Language Processing and Information Retrieval group (Prof. Simone Paolo Ponzetto) and the Chair of Artificial Intelligence (Prof. Heiner Stuckenschmidt), which will also involve close collaboration with project partners at the Department of Political Science (Prof. Dr. Nicole Rae Baerg, Prof. Dr. Thomas Gschwend), ranked as the best Political Science Department in Germany in different national and international university rankings. The student will be located at the Data and Web Science Group (DWS) of the University of Mannheim, one of leading centers for Data Science in Germany.

We are particularly interested in candidates with a background in one or several of the following areas:

        • statistical semantics and discourse processing
        • machine learning and natural language processing
        • discourse analysis
        • automated text-based scaling

Applicants should have a Masters or PhD degree (or obtain it in the near future) in Computer Science, Natural Language Processing, Machine Learning or Social Science and have previous experience in applying human language technology.

Duration: initially one year (starting in Fall 2015) with possible extension to 3-5 years.
Salary range: according to German public scale TV-L 13 100% (full time, ranging between 3200,- and 4.600,- Euro before taxes depending on qualification).

Applications can be made per e-mail (sfb884@informatik.uni-mannheim.de) and should include a short research statement, CV, copy of university degrees and transcripts and - if available - a copy of the master thesis, as well as list of publications and published software. Further information about the groups can be found at http://dws.informatik.uni-mannheim.de/. All documents should be e-mailed as a single PDF. All applications sent before September, 15 2015 will receive full consideration. The positions remain open until filled.

The University of Mannheim is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.

Please contact Simone Paolo Ponzetto (simone(At)informatik(DoT)uni-mannheim(DoT)de) and Heiner Stuckenschmidt (heiner(At)informatik(DoT)uni-mannheim(DoT)de) for informal enquiries.

--
Simone Paolo Ponzetto
Research Group Data and Web Science
Universität Mannheim
68131 Mannheim, Germany
http://dws.informatik.uni-mannheim.de
Tel: +49 621 181 2647





Monday, August 17, 2015

PhD position at IRIT (Toulouse) in Opinion analysis and synthesis


PhD student position at IRIT (Toulouse) and CEA:
Opinion analysis and synthesis:  Exploiting spatio-temporal and social contexts

Description:
The large amount of information generated in social networks brings new opportunities and new applications, interesting for some of them in terms of markets, and very useful and important for others in terms of security (cyber security).
The topic of this thesis deals with cyber security and it mainly concerns opinion analysis. Our goal is to develop solutions (approaches) to automatically detect and synthesize opinions about a given subject. We will be interested on opinions (comments, feedbacks) about people or event by considering their spatiotemporal context.

Opinion analysis is an active area where numerous approaches, including those based on NLP (Natural language Processing), opinion lexicons or machine learning have been proposed to detect the polarity (subjectivity of text and its polarity (positive, negative, neutral)) of a text. Beyond simply assigning a polarity opinion of a text, a more detailed analysis is often required to have a better characterization of the opinion, for instance find out which object or which facets/aspects of the object are concerned by the opinion. Although several approaches have been proposed including rule-based models or statistics, some research issues remain open, especially when we deal with short texts such as tweets and when we consider the social and the spatio-temporal contexts of the concerned topic. These later, particularly, the spatio-temporal context, is of great importance when we aim at building a summary or a synthesis of opinions about a topic.

The aim of this thesis is to develop and evaluate approaches that are capable to produce a consolidated opinion summary/synthesis about a given topic (event, person) by considering the social and the spatio-temporal contexts surrounding the concerned topic (event).

Candidate Profile
:  Applicants should have an excellent degree (M.Sc., M.Eng. or equivalent) in Computer Science.
Application: Detailed CV, academic records, motivation letter and recommendation letters
, to be sent to Mohand Boughanem (boughanem@irit.fr)
Supervision :
The PhD student will be enrolled at the University Paul Sabatier in Toulouse and will conduct his research in IRIT lab. in Toulouse (Université Paul Sabatier-IRIT, 118 Route de Narbonne 31062).
Supervisors:  
Mohand BOUGHANEM – IRIT and  Romaric BESANCON – CEA Tech LIST/DIASI/LVIC
Funding: Doctoral allowance funded by "Contrat Laboratoire Entreprise CEA-IRIT
the  Monthly salary, approximate 1,600 Euros, Net.
Duration : 36 mois
Starting Date: 1 October (or 1 November) 2015

Friday, August 14, 2015

2 Postdoc Positions and multiple PhD positions in Georgetown

The Infosense Group in Georgetown is hiring. We have **well-paid** post-doc positions and PhD positions open.

The research topics will be on dynamic search and evaluation. We are interested in investigating new search algorithms, evaluation mechanisms, and tool development for dynamic and statistical modeling of Information seeking process. We are looking for hard-working, passionate IR students and Post docs to share the joy of shaping the future of our beloved research. Check out the research page in our group at http://infosense.cs.georgetown.edu/research.html for more details. 

Our university is located at the beautiful city of Washington, DC, USA. 

Please submit your CV to Grace Hui Yang, gh243@georgetown.edu by Sep 15, 2015. 

Job posting: Applied scientist in NLP and IR

Applied scientist in NLP and IR

WizeNoze is a Dutch Startup that wants to make internet a better place for children. In 2009 the European Union granted 4 million to do a European research in Information Retrieval Systems for children. The Academic research analyzed the different needs and capabilities of children in their learning cycle and adapted the current technology to those needs and capabilities. The research ended in June 2012 and as a result an Open Source Platform was delivered, combined with many solutions to enable children to independently find their way on the internet. In January 2013 WizeNoze was founded to further improve the internet for children and now counts approx. 10 employees. We want to make the internet a better place by developing jouwzoekmachine.nl a search engine for children and a tool to translate adult text into age specific text for children. We are located in Amsterdam (Netherlands).

As an Applied Researcher and developer in Natural Language Processing and Information Retrieval, you will participate in finding and developing algorithms for the solutions of WizeNoze. You will identify, invent and implement algorithms as well as evaluate the impact on the developed software for WizeNoze. You will be part of an ambitious team with proven track record and work with other PhDs.

Essential Responsibilities

- Identify and solve key technical questions and issues related to our search engine and text classification technology for children
- Individually contribute and conduct research on new algorithms for current and future WizeNoze technology, including design and implementation of these algorithms
- Evaluate new and existing IR and NLP algorithms. Using standard test collections where available or creating our own test collections and strategies when necessary
- Implement new and existing algorithms in Java and make them robust and scalable enough for use in production software
- Effectively communicate results by preparing written reports and making presentations describing analyses performed, solutions developed, and value obtained

Qualifications/Requirements

- PhD in Information retrieval, Machine Learning, Natural Language Processing or Artificial Intelligence
- Demonstrated experience with Java (1-3 years). Writing production web backends in Java
- API development. REST, HTTP, JSON, etc.
- Willing to work (flexible) out of an office located in the center of Amsterdam, Netherlands

Desired Characteristics

- Recognized in the scientific community as a leading expert in algorithms
- International scientific publication record
- At least 1 years of post-doctoral experience in business-to-business environment (experience in a startup is a pro)
- Strong analytical skills
- Clear evidence of innovation, creativity and a positive thinker
- Excellent work ethic and able to work in a start-up environment
- Ability to work under pressure and meet deadlines
- Excellent written and verbal communication skills in English (Knowledge of Dutch is a pro)
- Exceptional passion for science, technology and children

What do we offer you?

- Access to the latest technology and algorithms (eg from academia)
- Work on innovative products that improve the internet for children and will be used internationally
- Work with experienced engineers and a professional and diverse team
- An excellent growth perspective
- A flexible working environment and an office in downtown Amsterdam

WizeNoze is a highly professional venture with a nice and open atmosphere. We invite an active participation in all aspects.

Want to know more? Contact us for more information. To apply send in your resume with a cover letter to jobs@wizenoze.com

Postdoc/Programmer positions in Biomedical Natural Language Processing (NLP)


Are you an NLP star looking to solve some exciting biomedical big data science problems? Would you like to do NLP research at a leading academic medical center creating tools that will streamline and improve healthcare for millions of people? Does working at a lakefront location in downtown Chicago excite you?
If so, Northwestern University's Feinberg School of Medicine has an opportunity for you. Be part of a prestigious institution that offers great benefits. To apply, email sid@northwestern.edu with your CV or see below.

Job Summary:
Northwestern University has A POSTDOCTORAL RESEARCH FELLOW* position in Biomedical Natural Language Processing (NLP) is open in the Division of Health and Biomedical Informatics. The position is part of multiple grants headed by Dr. Siddhartha Jonnalagadda. The successful candidate will participate in innovative research to use NLP methods for medical literature mining and clinical narratives in EHR. They will work in a stimulating environment of the Division of Health and Biomedical Informatics.
* PROGRAMMERS are eligible to apply.

Specific Responsibilities:
  • To conduct natural language processing research within the scope of existing funding.
  • Consultation with co-investigators on appropriate design and development.
  • Work toward independent research writing papers, manuscripts, presentations and briefs.
  • Prepares written reports and publications as primary author and presents research findings at regional and national meetings.

Minimum Qualifications:
  • PhD in Computer Science, Biomedical Informatics or related fields with a focus on Natural Language Processing or Computational Linguistics and exposure to biomedical literature.
  • Strong publication record in Biomedical Natural Language Processing.
  • Willingness to coordinate and supervise part of the research work of the project.
  • Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
  • Solid programming skills.
  • Java and practical expertise with standard NLP/related tools are required.

Preferred Qualifications:
  • Knowledge of biomedical domain is a plus
  • Experience in mining clinical literature or clinical narratives.

As per Northwestern University policy, this position requires a criminal background check. Successful applicants will need to submit to a criminal background check prior to employment.
Northwestern University is an Equal Opportunity, Affirmative Action Employer

Date Posted: 8/12/2015


Monday, August 10, 2015

Continuing Academic Positions (Lecturer & Senior Lecturer) in the Department of Computing & Information Systems, University of Melbourne


The University of Melbourne is seeking 3 dynamic early career academics with expertise in Computer Science or Information Systems. This is an opportunity to build a career with an internationally recognised group of academics and make a significant contribution to the teaching, research, and administration of the Department of Computing and Information Systems, http://www.cis.unimelb.edu.au. As members of our of academic staff, successful applicants will undertake high impact research, join leading research teams, collaborate with industry and with researchers across the University, publish in leading journals and conferences, supervise research students, secure independent funding, and deliver outstanding graduate and undergraduate teaching.

Candidates whose research is aligned to the Department's areas of expertise are encouraged to apply. Two of the appointments will be expected to contribute to our teaching of Software Engineering; the third will add to our capability in the general field of data analytics or data science. We are particularly interested in recruiting female academics as well as academics with a track record of engagement with industry.

Further details of the positions are available at the following links.










Friday, August 7, 2015

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Thursday, August 6, 2015

7 tips for landing a job at a coding competition

Hackathons have been derided for stifling innovation and chilling the vibe of camaraderie. But that doesn't have to always be the case.
Take the example of the January 2014 GlobalHack contestin St. Louis that was initially attended by several hundred programmers. The story of the contest isn't who took away the top $50,000 prize but about the other participants who didn't finish in the money but came away with something else that is arguably more important.
One of the contest's biggest sponsors was a growing startup called TopOpps. After the contest ended in early February, it hired ten of the participants to build its entire development team. What is interesting is whom they chose and how their future employees' participation at the contest presaged their selection. For complete story see here

Wednesday, August 5, 2015

Research Fellow position in Text Mining at Rolls-Royce@Nanyang Technological University, Singapore

The Rolls-Royce@NTU (Nanyang Technological University, Singapore) Corporate lab was launched at a joint investment by NTU, Rolls-Royce and the National Research Foundation, Singapore. It is the first of its kind in the world with a university, focusing on three core research areas - Electrical Power and Control Systems, Manufacturing and Repair Technologies and Computational Engineering. The Computational Engineering programme within the lab are investigating state-of-the-art techniques in Data Analytics to process data from across the Rolls-Royce design, development, manufacturing, and in-service applications in order to develop strategic capability for introducing step-change improvements in the products and processes.

The lab has an open position for research fellow in the area of text mining. In collaboration with speech recognition and ontology engineering teams, the position aims at supporting ontology-based semantic search over speech transcripts. The successful candidate will develop novel methods for text mining from speech recognition results, and semantic indexing and search and the development of prototypes demonstrating the successful application of the research. It involves applying scientific, technical and software engineering skills to conduct research on text mining in collaboration with the speech recognition and ontology engineering groups at NTU.

/Required Qualifications/

PhD or Master degree in Computer Science or a related discipline with specialization in natural language processing and/or ontology engineering. Independent research experiences are expected.

/How to apply/

Please send your resume and a cover letter to Jung-jae Kim
E-mail: jungjae.kim@ntu.edu.sg

The position will be open until filled.
Date: 5 August 2015 SG50