Postdoc positions in Social Data Science at Centre for Social Data Science
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Applications are invited for a two-year postdoc position at the interface of social data science and natural language processing at SODAS at the Faculty of Social Sciences, University of Copenhagen, ideally beginning June 1 2020 or as soon as possible thereafter.
The Centre for Social Data Science (SODAS) is an established interdisciplinary center at the Faculty of Social Sciences, University of Copenhagen, involving faculty and students from anthropology, economics, political science, psychology and sociology, as well as from DTU Compute. At the heart of the Faculty’s Data Initiative, SODAS’ vision is to create a social data science community focused on leveraging advances in data science and in the collection of digital and/or big data and new data forms for the benefit of social scientists and, at the same time, to study how such data, and not least their ethical and privacy-related challenges, transform the way of doing social science.
A key part of SODAS’ mission is to facilitate and encourage primary data collection, data visualization and data analysis based on novel data forms – such as data from dedicated and non-dedicated digital data collectors, social media, webscraping etc. in various forms including text and pictures – to answer core social science questions, old and new. Therefore, applicants should have a positive attitude towards taking an active part both in the Center’s role as a knowledge hub research infrastructure and in developing undergraduate, Master’s and PhD courses across the Faculty.
For this position, applications should explicitly detail experience in the application of natural language processing to social science questions, and should contain as part of the three page application text (1) a description of proposed research projects, including their interdisciplinary nature; (2) the applicant’s thoughts on how to contribute to making SODAS a successful research infrastructure; (3) thoughts on bridging Computational Linguistics from a computer science perspective with Social Data Science.
SODAS was established in 2016 and is based at the Faculty of Social Sciences, University of Copenhagen. We aim at becoming a premier center for data science with a social science twist – and for social science with a data science twist – both nationally and internationally. We are financed by the Faculty of Social Science and by external grants from public and private funding bodies. More information at sodas.ku.dk.
Qualifications
The applicants must have
A strong candidate also has
Terms of employment
The terms of employment and payment are according to the agreement between the Ministry of Salary and conditions of employment will be in accordance with the agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations (AC).
Information
Further information about the postdoc positions can be obtained from Centre Director, Professor David Dreyer Lassen, Center for Social Data Science, University of Copenhagen, Øster Farimagsgade 5, DK-1353 Copenhagen K, email: [email protected], telephone: + 45 3532 4412.
Application
Applications can be submitted online via the job portal of the University of Copenhagen http://employment.ku.dk/ (in English) http://jobportal.ku.dk/ (in Danish)
Applications should include the following parts:
1) application, including reasons for applying for this position (max. 3 pages)
2) curriculum vitae, including list of all publications
3) diplomas – all relevant certificates
4) publications to be considered in the assessment (max. 5)
The parts must be clearly labeled with the above-mentioned numbers.
Applications that do not meet the requirements listed above will not be taken into consideration.
Application procedure
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then immediately notified whether their application has been passed for assessment by an expert assessment committee. Selected applicants are notified of the composition of the committee and each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at http://employment.ku.dk
Applications are welcome from all suitably qualified applicants regardless of age, gender, race, religion or ethnic background and citizenship.
Further information about the application procedure is available from HR-officer Pernille Lykke Paulsen, e-mail: [email protected]
The deadline for applications including enclosures is April 9, 2020 (at Midnight 23:59 Danish Time).
Please note: Applications must be submitted via this link.
Applications received after deadline will not be taken into account.
Kilde: Jobnet.dk
The Centre for Social Data Science (SODAS) is an established interdisciplinary center at the Faculty of Social Sciences, University of Copenhagen, involving faculty and students from anthropology, economics, political science, psychology and sociology, as well as from DTU Compute. At the heart of the Faculty’s Data Initiative, SODAS’ vision is to create a social data science community focused on leveraging advances in data science and in the collection of digital and/or big data and new data forms for the benefit of social scientists and, at the same time, to study how such data, and not least their ethical and privacy-related challenges, transform the way of doing social science.
A key part of SODAS’ mission is to facilitate and encourage primary data collection, data visualization and data analysis based on novel data forms – such as data from dedicated and non-dedicated digital data collectors, social media, webscraping etc. in various forms including text and pictures – to answer core social science questions, old and new. Therefore, applicants should have a positive attitude towards taking an active part both in the Center’s role as a knowledge hub research infrastructure and in developing undergraduate, Master’s and PhD courses across the Faculty.
For this position, applications should explicitly detail experience in the application of natural language processing to social science questions, and should contain as part of the three page application text (1) a description of proposed research projects, including their interdisciplinary nature; (2) the applicant’s thoughts on how to contribute to making SODAS a successful research infrastructure; (3) thoughts on bridging Computational Linguistics from a computer science perspective with Social Data Science.
SODAS was established in 2016 and is based at the Faculty of Social Sciences, University of Copenhagen. We aim at becoming a premier center for data science with a social science twist – and for social science with a data science twist – both nationally and internationally. We are financed by the Faculty of Social Science and by external grants from public and private funding bodies. More information at sodas.ku.dk.
Qualifications
The applicants must have
- obtained a Phd degree in computer science, information science, computational linguistics, social science with demonstrated strong NLP component or similar
- Documented experience with text analysis of social media data
A strong candidate also has
- experience in one or more of the following areas: word embedding; BERT; theoretical NLP
- a desire for engaging in interdisciplinary social data science
Terms of employment
The terms of employment and payment are according to the agreement between the Ministry of Salary and conditions of employment will be in accordance with the agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations (AC).
Information
Further information about the postdoc positions can be obtained from Centre Director, Professor David Dreyer Lassen, Center for Social Data Science, University of Copenhagen, Øster Farimagsgade 5, DK-1353 Copenhagen K, email: [email protected], telephone: + 45 3532 4412.
Application
Applications can be submitted online via the job portal of the University of Copenhagen http://employment.ku.dk/ (in English) http://jobportal.ku.dk/ (in Danish)
Applications should include the following parts:
1) application, including reasons for applying for this position (max. 3 pages)
2) curriculum vitae, including list of all publications
3) diplomas – all relevant certificates
4) publications to be considered in the assessment (max. 5)
The parts must be clearly labeled with the above-mentioned numbers.
Applications that do not meet the requirements listed above will not be taken into consideration.
Application procedure
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then immediately notified whether their application has been passed for assessment by an expert assessment committee. Selected applicants are notified of the composition of the committee and each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at http://employment.ku.dk
Applications are welcome from all suitably qualified applicants regardless of age, gender, race, religion or ethnic background and citizenship.
Further information about the application procedure is available from HR-officer Pernille Lykke Paulsen, e-mail: [email protected]
The deadline for applications including enclosures is April 9, 2020 (at Midnight 23:59 Danish Time).
Please note: Applications must be submitted via this link.
Applications received after deadline will not be taken into account.
Kilde: Jobnet.dk
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i København K.
Jobbet er oprettet på vores service den 26.3.2020, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- København K
- Torsdag den 09. april 2020
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