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Doctoral position Project-funded PhD position in Natural Language Processing
The department of Swedish, Multilingualism, Language Technology announces a PhD position within the research environment project Grandma Karl is 27 years old: Automatic pseudonymization of research data (funded by the Swedish Research Council, https://spraakbanken.gu.se/en/projects/mormor-karl).
The research project
The position is funded mainly by a research environment grant from the Swedish Research Council on automatic pseudonymization of research data). The project leader is Elena Volodina.
Accessibility of research data is critical for advances in many research fields, but textual data often cannot be shared due to the presence of personal and sensitive information, e.g names, political opinions. GDPR suggests pseudonymization as a solution, but we need to learn more about it before adopting it for manipulation of research data.
The Grandma Karl research environment targets several aspects of pseudonymization, aiming to advance Sweden's work on open access to research data. The primary focus of this position will be development of algorithms to automatically detect, label and pseudonymize personal identifiers in freely written texts (essays/blogs), focusing on linguistic challenges such as spelling errors, ambiguous entities, semantic constraints etc. A minor part of the research can be devoted to the analysis of type and number of personal identifiers versus acceptable protection, followed by reidentification tests to ensure that pseudonymization is effective.
The successful candidate should write their doctoral thesis within the core area of the funding project. The doctoral student is expected to cooperate with other project members (including at other partner universities), participate in project activities (e.g. meetings), participate in the departmental research related activities, as well as national and international workshops, seminars and conferences.
General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages.
https://medarbetarportalen.gu.se/doktorand/?languageId=100001&skipSSOCheck=true
Duties
Regulations for the evaluation of qualifications for education on a doctoral level are given in the Higher Education Ordinance, SFS 1998:80.
Education at third-cycle level comprises four years of full-time study, and leads to a doctoral degree.
Eligibility
Education at third-cycle level requires general eligibility and, where appropriate, specific eligibility as set out in the general syllabus for the subject.
The general eligibility requirements for education at third-cycle level are:
- having completed a degree at second-cycle level, or
- the fulfilment of course requirements totalling at least 240 credits, of which at least 60 credits must be at second-cycle level, or
- the acquisition of equivalent knowledge in some other way, either in Sweden or abroad.
Specific entry requirements, Natural language processing:
At least 30 credits from second-cycle courses in Computational linguistics, Language technology, or Natural language processing, including a thesis of at least 15 credits;
or at least 30 credits from second-cycle courses in linguistics, including a thesis of at least 15 credits, plus at least 30 credits from first-level courses in Language technology, Computational linguistics, Natural language processing, or Computer science;
or at least 30 credits from second-cycle courses in Computer science, including
A good reading and speaking knowledge of English is necessary. Basic knowledge of Swedish (alternatively Danish or Norwegian) is also a requirement for work on the relevant datasets.
Assessment criteria
The selection of applicants who meet the basic and specific eligibility requirements will be based on the ability to assimilate the education at third-cycle level.
Employment
Type of employment: Fixed-term employment, 4 years
Basis: 100 %
Location: Department of Swedish, Multilingualism, Language Technology, University of Gothenburg
First day of employment: 2023-10-01, or as soon as possible after this date, by agreement
The University applies a local agreement on salaries for doctoral students.
Contact information
Information about the PhD program in NLP and our research unit: sb-phd-info@svenska.gu.se
General information about PhD studies and the application process: Åsa Wengelin, Associate head of department for doctoral studies (asa.wengelin@svenska.gu.se
Unions
Union representatives at the University of Gothenburg can be found here:
https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande
Application
You can apply to be admitted for education at third-cycle level via the University of Gothenburg’s recruitment portal.
It is your responsibility to ensure that the application is complete as per the vacancy notice, and that the University receives it by the final application deadline.
See also Practical information to applicants: https://www.gu.se/en/swedish/practica information-to-applicants-for-phd-position-in-natural-language-processing
Applications must be received by: midnight (23.59) Tuesday, June, 27, 2023
Information for International Applicants
Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and Gothenburg have to offer in terms of benefits and life in general for you and your family/spouse/partner please visit:
https://www.gu.se/en/about-the-university/welcome-services
https://www.movetogothenburg.com/
The University works actively to achieve a working environment with equal conditions, and values the qualities that diversity brings to its operations.
Salaries are set individually at the University.
In accordance with the National Archives of Sweden’s regulations, the University must archive application documents for two years after the appointment is filled. If you request that your documents are returned, they will be returned to you once the two years have passed. Otherwise, they will be destroyed.
In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.
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