Thursday, May 28, 2015
1 open PhD position in NLP at the University of Cambridge
Applications are invited for a 3-year PhD studentship at the crossroads of NLP, big data and disease alerting.
Panda Alert: understanding the significance of adverse health event reports using distributed semantic models
*****Important Dates*****
- Deadline for student applications at DREAM CDT: 19th June 2015
- Short listed applicant interviews: week of 22nd June 2015
- Notification of successful applicants by DREAM CDT: 3rd July 2015
- Doctoral course start: October 2015
- Further information about DREAM: http://www.dream-cdt.ac.uk/studying/application/
- Further information about Graduate Admissions at the University of Cambridge: http://www.graduate.study.cam.ac.uk/courses/directory/mmalpdlng
************************
With concerns about the rapid spread of new and re-emerging diseases such as Ebola and A(H1N1) influenza there has been increasing attention on human language technologies which can complement traditional information sources by trawling through news and social media data on a Web-scale to find 'the needle in the haystack' that indicates a first adverse health event report.
Potential PhD students with a strong background in Computer Science, Computational Linguistics or Artificial Intelligence are encouraged to apply for this full-time three-year studentship funded by the NERC Centre for Doctoral Training in Data, Risk and Environmental Analytical Methods (DREAM). The studentship is expected to start in the academic year 2015/16. The student will work within an interdisciplinary team of researchers from Computer Science, Computational Linguistics and Public Health in the Panda Alert project which investigates novel methods for health risk alerting using natural language processing, machine learning and distributed semantic representations.
Motivated by the challenges outlined above the student will examine natural language understanding technology within a high performance computing environment. The exact scope of the project is open to discussion and will be shaped by the student's strengths but we anticipate that the successful candidate will develop a novel approach for early health risk alerting that combines the state of the art in natural language processing with aberration detection to achieve high throughput real-time alerting of novel health threats.
The PhD research will be undertaken at the Department of Theoretical and Applied Linguistics (DTAL) at the University of Cambridge. The successful candidate will be integrated into a friendly research-led team that conducts weekly meetings, publishes in top conferences and journals and with extensive inter-disciplinary collaborations. This is a unique opportunity to work at the cutting edge of computational linguistics.
About you: Applicants should hold a 1st class UK Honours Degree or equivalent in subjects such as Computer Science, Artificial intelligence or Computational Linguistics. Good knowledge of English and communication skills are important, as well as a willingness to work in an interdisciplinary environment and with the open-source community to upstream project outputs.
Funding: UK nationals and EU nationals who have been ordinarily resident in the UK for 3 years will receive tuition fees and a maintenance grant from the NERC CDT fund. Other EU nationals will have fees paid. See: http://www.nerc.ac.uk/funding/application/howtoapply/forms/dtg-faq-students/
For further details: To apply in the first instance please contact Nigel Collier by email with a CV to discuss the application as soon as possible and no later than June 15th.
Dr Nigel Collier
Principal Research Associate
Department of Theoretical and Applied Linguistics
University of Cambridge, Cambridge, UK
Email: nhc30@cam.ac.uk
Supervisory panel: Cambridge Dr Nigel Collier; Dr Anna Korhonen Industrial partner Joint Research Centre of the European Commission (JRC EC)
Panda Alert: understanding the significance of adverse health event reports using distributed semantic models
*****Important Dates*****
- Deadline for student applications at DREAM CDT: 19th June 2015
- Short listed applicant interviews: week of 22nd June 2015
- Notification of successful applicants by DREAM CDT: 3rd July 2015
- Doctoral course start: October 2015
- Further information about DREAM: http://www.dream-cdt.ac.uk/studying/application/
- Further information about Graduate Admissions at the University of Cambridge: http://www.graduate.study.cam.ac.uk/courses/directory/mmalpdlng
************************
With concerns about the rapid spread of new and re-emerging diseases such as Ebola and A(H1N1) influenza there has been increasing attention on human language technologies which can complement traditional information sources by trawling through news and social media data on a Web-scale to find 'the needle in the haystack' that indicates a first adverse health event report.
Potential PhD students with a strong background in Computer Science, Computational Linguistics or Artificial Intelligence are encouraged to apply for this full-time three-year studentship funded by the NERC Centre for Doctoral Training in Data, Risk and Environmental Analytical Methods (DREAM). The studentship is expected to start in the academic year 2015/16. The student will work within an interdisciplinary team of researchers from Computer Science, Computational Linguistics and Public Health in the Panda Alert project which investigates novel methods for health risk alerting using natural language processing, machine learning and distributed semantic representations.
Motivated by the challenges outlined above the student will examine natural language understanding technology within a high performance computing environment. The exact scope of the project is open to discussion and will be shaped by the student's strengths but we anticipate that the successful candidate will develop a novel approach for early health risk alerting that combines the state of the art in natural language processing with aberration detection to achieve high throughput real-time alerting of novel health threats.
The PhD research will be undertaken at the Department of Theoretical and Applied Linguistics (DTAL) at the University of Cambridge. The successful candidate will be integrated into a friendly research-led team that conducts weekly meetings, publishes in top conferences and journals and with extensive inter-disciplinary collaborations. This is a unique opportunity to work at the cutting edge of computational linguistics.
About you: Applicants should hold a 1st class UK Honours Degree or equivalent in subjects such as Computer Science, Artificial intelligence or Computational Linguistics. Good knowledge of English and communication skills are important, as well as a willingness to work in an interdisciplinary environment and with the open-source community to upstream project outputs.
Funding: UK nationals and EU nationals who have been ordinarily resident in the UK for 3 years will receive tuition fees and a maintenance grant from the NERC CDT fund. Other EU nationals will have fees paid. See: http://www.nerc.ac.uk/funding/application/howtoapply/forms/dtg-faq-students/
For further details: To apply in the first instance please contact Nigel Collier by email with a CV to discuss the application as soon as possible and no later than June 15th.
Dr Nigel Collier
Principal Research Associate
Department of Theoretical and Applied Linguistics
University of Cambridge, Cambridge, UK
Email: nhc30@cam.ac.uk
Supervisory panel: Cambridge Dr Nigel Collier; Dr Anna Korhonen Industrial partner Joint Research Centre of the European Commission (JRC EC)
Open position: PhD Student - University of Innsbruck/STI Innsbruck
PhD Student - University position
Leopold Franzens University of Innsbruck & Semantic Technology Institute Innsbruck, Austria.
STI Innsbruck (www.sti-innsbruck.at) is a research institute at the University of Innsbruck engaged in research and development to bring information and communication technologies of the future into today`s world. STI Innsbruck is currently looking for candidates for the following University position with the start date of 15.09.2015 (duration: 4 years)
PhD Student
Responsibilities:
Independent research: writing a doctoral dissertation
Individual teaching and supervision of students
Implementation of research projects
Writing of research papers (workshops, conferences, journals)
Training and further education
Administrative tasks
Required qualifications:
Master's degree in Computer Science
Research interest in areas such as Smart Data, Linked Data, Semantic Web, Semantic Services, Rule-based Systems, Online Communications, Social Media, eTourism
Experience in programming: Java and/or other relevant technologies
Willingness to work on an international team
Willingness to combine formal research with real-world practice in national and international projects
Application:
We are looking forward to receiving your application by 13.06.2015 to hr@sti2.at
Thursday, May 21, 2015
Job posting: NLP Staff Applied Scientist at LinkedIn, Dublin, Ireland
At LinkedIn, we regularly process the semi-structured content in the 340+ million member profiles and the content they create on LinkedIn, such as comments, job descriptions, group discussions, and Influencer posts. We are building an NLP (Natural Language Processing) team at LinkedIn and this is a great opportunity to get in on the ground floor.
Responsibilities:
- Design and develop NLP systems and tools.
- Research and evaluate different solutions to NLP problems.
- Produce deliverable results and see them through from development to production.
- Interact and work with remote teams located in different timezones.
Requirements:
- PhD in Computer Science or related discipline.
- Expertise in several of the following domains: sentiment analysis, information extraction (POS, N/E tagging with HMMs/CRF etc), feature extraction, classification, tokenization, and processing of non-English text.
- Machine Learning & Text mining exposure and familiarity with R, Weka, NTLK etc.
- Solid experience in Java, C++, or another object-oriented language.
- Excellent communication skills, drive and discipline to get things done.
We'd prefer if you also have:
- Worked with web-scale traffic and data.
- Experience with Hadoop, Pig, or other MapReduce paradigms.
- Experience with Lucene, SOLR or other open-source IR toolkits.
- Published work in academic conferences or industry circles.
- Involved in consumer-facing product development and design.
Responsibilities:
- Design and develop NLP systems and tools.
- Research and evaluate different solutions to NLP problems.
- Produce deliverable results and see them through from development to production.
- Interact and work with remote teams located in different timezones.
Requirements:
- PhD in Computer Science or related discipline.
- Expertise in several of the following domains: sentiment analysis, information extraction (POS, N/E tagging with HMMs/CRF etc), feature extraction, classification, tokenization, and processing of non-English text.
- Machine Learning & Text mining exposure and familiarity with R, Weka, NTLK etc.
- Solid experience in Java, C++, or another object-oriented language.
- Excellent communication skills, drive and discipline to get things done.
We'd prefer if you also have:
- Worked with web-scale traffic and data.
- Experience with Hadoop, Pig, or other MapReduce paradigms.
- Experience with Lucene, SOLR or other open-source IR toolkits.
- Published work in academic conferences or industry circles.
- Involved in consumer-facing product development and design.
To apply go to https://www.linkedin.com/jobs2/view/44208053 or to reach out for more information, please email Deirdre Hogan (dhogan@linkedIn.com) and Jorge Handl (jhandl@linkedin.com).
PhD Student-Assistants Position at The Faculty of Computer and Information Science of the University of Ljubljana
Apply for PhD Student-Assistants Position in 2015/16
The Faculty of Computer and Information Science of the University of Ljubljana offers five PhD Student-Assistant positions for four years (3 years of study and an additional year) starting in academic year 2015/2016. The position offers:
- covered tuition fees for PhD study
- a monthly salary depending on the candidate's performance.
The call is open for students who are applying for the Computer and Information Science doctoral programme at the Faculty of Computer and Information Science in the 2015/2016 academic year, and who fulfil all enrolment requirements as stated in the call for applications (http://www.fri.uni-lj.si/en/scholarships/teachingassistantphdstudent/)
Responsibilities:
In addition to regular coursework required for doctoral study programme, the obligations of PhD Students-Assistants also include 30 hours per week of participation in the supervisor's research lab as well as drafting and correcting coursework and exams, and consulting the students for 10 hours per week.
Research Topics:
The research work carried out in our 19 research laboratories is very diverse. The research is particularly intense in the field of artificial intelligence and related disciplines, such as machine learning, data mining and computer vision, and applied to different domains from bioinformatics and cognitive modelling to intelligent robotics. Another important research area is data acquisition and management as well as integration of information systems. We are addressing various other research questions from different fields of computer science, information science and software engineering.
More information on research activities can be found in the survey of activities: http://www.fri.uni-lj.si/file/178716/survey_konna-verzija_v2.pdf
About the Faculty:
The Faculty of Computer and Information Science is the leading teaching and research institution in the field of Computer Science in Slovenia, and in spite of its comparatively short history it has a number of active research groups, as well as a lengthy roster of alumni, some of whom have achieved distinction in various fields of computer science in Slovenia and abroad.
In 2014, the Faculty relocated to a new premises in Brdo pri Ljubljani. This was the result of a several year-long project to build new facilities for the Faculty of Computer and Information Science and the Faculty of Chemistry and Chemical Technology. It is also the largest project in Slovenia to be co-funded by the European Union and the largest investment in the history of the University of Ljubljana. (https://www.youtube.com/watch?v=FkGeeX7DV6c)
Application Deadline:
The positions are available starting 1 October 2015 and is available for 4 years. For candidates which are not Slovenian nationals, the official deadline for application is 15 May 2015, due to procedures related to recognition of education and residency permits. If foreign candidates are late with applications, they can also apply until 28 August 2015, but we would like to stress the importance of completing all formalities in time.
Contact Details:
For any additional information about the call for applications or doctoral studies at the Faculty of Computer and Information Science, please direct your enquires to Student Affairs (studinfo@fri.uni-lj.si).
Kind regards,
Slavko Žitnik
| as. dr. Slavko Žitnik http://zitnik.si/research University of Ljubljana Faculty of Computer & Information Science Laboratory for Data Technologies Večna pot 113, SI-1000 Ljubljana +386 31 543 547 skype: slavkozitnik @szitnik https://linkedin.com/in/szitnik |
Data Scientist job in London
Data Scientist Vacancy
Introduction
Signal is looking for a specialist in Information Retrieval, Natural Language Processing or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and complex requirements (e.g. "All the news related to IPOs of European technology companies"). We are building this technology using cutting-edge algorithms for different information processing tasks in collaboration with leading universities. The next steps in the business will focus on how allows users to discover new information by navigating through all our information and automatically generating actionable insight from it.
The successful candidate will join our research team whose main goal is to analyse, implement and experiment with different algorithms to solve or improve solutions to different challenges such as summarization, clustering and event detection.
How we work
We currently have a team of 15 people from diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning; natural language processing; and information retrieval. We also work in close collaboration with several universities and we encourage the publication of research results from the team in academic conferences. As an example, we have just presented an industry talk and a demonstration (which won the best demonstration award) in ECIR 2015. We are based in Second Home, a vibrant and innovative working space in the heart of London.
Candidate background
A successful candidate will need to be able to propose, implement and evaluate solutions to real-world requirements, while being able to work in a team of developers and researchers. We are looking for a candidate who is ambitious, entrepreneurial and ready to buy into the long-term vision of this company. The ideal candidate should be highly technical, have strong analytical skills, share our innovative values and be self-motivated. Excellent communication skills, being open-minded and inquisitive and having the desire to learn new skills are essential to thrive in our fast-paced multi-disciplinary environment.
Essential skills and qualifications:
MSc or PhD in a field related to Text Analytics (e.g. natural language processing, information retrieval, machine learning or similar), or equivalent commercial experience;
Detailed knowledge of one or more of the following fields:
* Entity Recognition and Disambiguation
* Concept / Topic Extraction
* Document summarization
* Trend Detection
* Sentiment Analysis
Substantial programming experience (preferably in a commercial environment)
Clojure or similar languages (e.g. Java or Python)
Software collaboration and revision control (e.g. Git or SVN)
Desired skills and experiences:
ElasticSearch / Kibana
Cloud computing (e.g. AWS)
Hadoop / Spark etc.
Graph Databases
We Offer
Salary: £30,000 – £50,000 per annum depending on experience
Work Laptop
Stock Options
Conference and training expenses
A continuous learning environment
Contact Details
To apply for this role, please email your CV and a cover letter to jobs@signal.uk.com.
No agencies please.
Regards,
---
Miguel Martinez-Alvarez (PhD., MBCS)
Wednesday, May 20, 2015
Postdoctoral Fellow and Software Engineering Positions available at UMass Medical School
We are recruiting for multiple positions at levels from Post Doctoral Fellow to Software Engineer to participate research and software development in biomedical natural language processing (NLP) and biomedical informatics. The group's research (http://www.bio-nlp.org/4_research_projects.phtml) involves developing algorithms and tools for gathering, analyzing and interpreting heterogeneous data from multiple sources both clinically and research related. Recruits will lead development efforts in web service tools and search engines that: retrieve and summarize big data in biomedical domain, automatically extracting information from pdf files and extracting text from images, integrate novel biomedical text mining algorithms into the web tools and search engines to enable intelligent semantic search, and mining electronic health record data for pharmacovigilance.
If you are highly motivated and passionate about research in big data processing or software engineering or have in-depth knowledge and hands on implementation experience with web service tools and are interested in learning more about us, please contact elaine.freund@umassmed.edu with your resume or CV and a cover letter.
General Summary of Postdoc Fellow Position: PhD in Computer Science, computational linguistics or Biomedical Informatics with expertise in natural language processing, machine learning or information retrieval with excellent writing and communication skills and ability to work with the research team.
General Summary of Software Engineer Position:
Under the direction of the Faculty or designee, the Software Engineer I assists with the design, development, implementation and integration of web service tools, search engines, utilities, applications and enhancements in a complex medical/academic research computing environment.
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