PhD Research Fellow in Language Technology, University of Oslo
A position as PhD Research Fellow in Language Technology is available at theDepartment of Informatics, University of Oslo. The fellowship will be for a period of 4 years, with 25 % compulsory work (teaching responsibilities at the Department), assuming sufficient teaching skills. Otherwise, the fellowship will be for a period of 3 years, with no compulsory work. Starting date is as soon as possible.
The position is funded by SIRIUS (Center for Scalable Data Access in the Oil and Gas Domain), a new Center for Research-Driven Innovation (SFI) at the University of Oslo. It constitutes a long-term research initiative, funded by the Norwegian Research Council involving both academic research teams (UiO, NTNU and Oxford University) as well as industrial partners. The center has as its main goal to develop novel technologies to improve our ability to extract and exploit information from large data stores in the oil and gas domain. The position is hosted at the IFI Language Technology Group.
The main focus of the PhD project will be on the development and application of NLP techniques to access and extract information within the oil and gas domain. The candidate and the supervisors will decide on the ultimate topic for the project jointly, but examples could include relation extraction or sentiment analysis of domain data. The ideal candidate should have experience with both rule-based and statistical approaches to NLP, including machine learning. The candidate should be able to demonstrate broad knowledge of core NLP tasks, like tagging, parsing, named entity recognition, sentiment analysis, etc. Given the applied nature of the project, implementation experience and programming skills will also be given weight.
Applicants should submit a statement of research interests or a project outline for the qualifying work during the PhD program, but it is expected that the successful candidate will ultimately define their project jointly with their supervisors during the first two months of the fellowship. The application letter should discuss at least one candidate research topic of interest to the candidate, including a brief reflection about the scientific issues involved and the possible choice of theory and method(s). This statement of research purpose should not exceed two pages.
The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Applicants must hold a Master's degree or equivalent in Natural Language Processing, or in Computer Science with a specialization in NLP.
The purpose of the fellowship is research training leading to the successful completion of a PhD degree.
The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.
For more information see:
Position code 1017, Pay grade: 50 - 57 (NOK 430 500 – 483 700)
The application must include
- Application letter, including a summary of research interests or project outline
- CV (summarizing education, positions and academic work - scientific publications)
- Copies of educational certificates, transcript of records and letters of recommendation
- List of publications and academic work that the applicant wishes to be considered by the evaluation committee
- Research proposal describing aims for the PhD research
- Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
Foreign applicants are advised to attach an explanation of their University's grading system. Please remember that all documents should be in English or a Scandinavian language.
In accordance with the University of Oslo's equal opportunities policy, we invite applications from all interested individuals regardless of gender or ethnicity.
UiO has an agreement for all employees, aiming to secure rights to research results a.o.
Job type: Contract
Working hours: Full-time
Working days: Day
Reference number: 2015/12744
Home page: http://www.ifi.uio.no
Associate Professor Lilja Øvrelid
Telephone: +47 22840850
Questions regarding EasyCruit, contact HR Officer Helene Beate Jansen
Telephone: +47 22857196
This opportunity has expired. It was originally published here: