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Dear lists,

a job posting in the Netherlands for your information

Zur Information, eine Stellenausschreibung in den Niederlanden

best wishes / Lieben Gruß

nilz

Forwarded message:

> From: Tjerk Timan <[log in to unmask]>
> To: Nils Zurawski <[log in to unmask]>
> Subject: job opening for surveillance & society audience
> Date: Tue, 17 Oct 2017 09:55:41 +0200
>
> Dear Nils,
>
> Hope all is well. For a very challenging ERC project, there are some 
> jobs opening in the field of software studies/ critical data science. 
> Would it be possible to post the description below either on the 
> mailinglist and/or on the SSN website? Thank you very much in advance!
>
> Best,
>
> Tjerk Timan
> Tjerk Timan, MA, Ph.D.
> Postdoctoral Researcher “Privacy for the 21st century” Tilburg 
> Institute for Law, Technology, and Society (TILT), Tilburg University, 
> The Netherlands
> Visiting Scholar at the School of Management, St. Andrews, UK
>
> mail: [log in to unmask] <mailto:[log in to unmask]>
> web: privacyspaces.org <http://privacyspaces.org/> / tjerktiman.nl 
> <http://tjerktiman.nl/>
> twitter: @tjerk
> skype: tjerktiman
> ssrn: http://ssrn.com/author=2322732 <http://ssrn.com/author=2322732>
> 	.	

> ——————
>
>
> The Department of Science, Technology, and Policy Studies (STePS) 
> <https://www.utwente.nl/bms/steps/> at the University of Twente is 
> hiring one doctoral researcher with a background in Computer Sciences 
> to join the ERC-funded project ‘Processing Citizenship: Digital 
> registration of migrants as co-production of citizens, territory and 
> Europe’ (ProcessCitizenship), with Dr. Annalisa Pelizza 
> <https://www.utwente.nl/bms/steps/people/scientific/pelizza/>as 
> Principal Investigator. The position is fully-funded and requires 
> commitment to the project’s goals.
>
> Project and work description
> In the Processing Citizenship project we want to learn how data 
> infrastructures for migration management transform the way we come to 
> experience European (individual and institutional) identities.
> As a PhD, you have a strong computer science background – notably in 
> data analytics, knowledge representation, artificial intelligence or 
> related fields – while at the same time you should be interested in 
> working in an interdisciplinary team, with heterogeneous but 
> complementary research goals. You are expected to analyse ontologies 
> and algorithms, to compare them across different institutional 
> information systems, to design and develop strategies to measure and 
> enhance data quality under uncertain conditions, to increase 
> interoperability among databases, and to develop systems to track and 
> visualize data circulation.
> The appointee will work as part of a trans-disciplinary team of six, 
> including ethnographers, computer scientists and social scientists, 
> under the supervision of the Principal Investigator and co-supervision 
> by CTIT, the Institute for ICT research in Context (CTIT, 
> https://www.utwente.nl/ctit/ <https://www.utwente.nl/ctit/>).
>
> Activities
> You will be presented with three main research challenges. The first 
> challenge requires to extract and analyse data models from 
> heterogeneous institutional sources. The second challenge will require 
> you to design strategies for increasing data quality across 
> not-yet-interoperable data architectures and in uncertain conditions. 
> The third challenge will require you to engage in interdisciplinary 
> work with non-technical team members, as required by this 
> inter-disciplinary ERC project.
>
> In particular, you will be expected to conduct the following 
> activities:
> - to conduct techno-social analysis of data models and algorithms (in 
> collaboration with other team members), e.g., how are the same types 
> of data classified in different information systems, and with which 
> effects?;
> - to design and develop strategies to measure and enhance data quality 
> under uncertain conditions, and increase interoperability of 
> migrant-related databases (in collaboration with CTIT’s data science 
> group);
> - to design and develop software to track and visualize data 
> circulation (in collaboration with UT’s ITC faculty);
> - to provide support to interviews with IT developers at European and 
> national agencies level.
>
> Profile
> You have a master degree in Computer Sciences, Data Science, 
> Information Engineering, Artificial Intelligence, Business IT or close 
> disciplines.
>
> Essential:
> ·         Master degree completed by the deadline
> ·         Highly proficient in data analysis and management
> ·         Expert understanding of  database architectures, including 
> interpreting data sets modelled in heterogeneous ways
> ·         Proficiency in English as daily working language
> ·         Commitment to the project’s success, willingness to 
> collaborate in a research team, share data, write joint publications 
> and acquire social science-related skills
> ·         Excellent administrative and organizational skills, 
> including the ability to plan one’s  work, meet deadlines, 
> familiarity with resource management and willingness to accept 
> Horizon2020 administrative and ethical behaviour guidelines
>
> Desirable
> ·         Experience as non-graduate student supervisor
> ·         Understanding of the potential non-academic impact of the 
> research and ways of engaging with it
> ·         Knowledge of major sociological literature on data 
> infrastructures
>
> By the end of the program, even if this is not the core of your 
> activities, you will also acquire skills in sociological analysis of 
> information systems. A similar combination of techno-social skills is 
> not only more and more key to access middle-high positions in 
> engineering environments, but it is also functional to achieve a 
> thorough understanding of the social impact of data infrastructures. 
> You will develop cutting-edge research skills, e.g. by being able to 
> acknowledge and tackle the methodological limitations and design 
> constraints that software-based techniques impose on hypothesis 
> formulation and testing.
>
> Conditions of employment
> We offer a full-time contract spanning a period of four years. The 
> appointee is expected to take office as soon as possible in fall 2017. 
> The monthly salary starts at € 2.222 gross per month in the first 
> year, leading up to € 2.840 gross per month in the last year.
> The terms of employment are in accordance with the Dutch Collective 
> Labor Agreement for Universities 
> <http://www.vsnu.nl/en_GB/cao-universiteiten.html> (CAO).
>
> Application procedure
> You should submit your application via 
> https://www.utwente.nl/en/organization/careers/vacancies/!/vacature/1261362 
> <https://www.utwente.nl/en/organization/careers/vacancies/!/vacature/1261362> 
> before October 1, 2017 h. 23:59 (CET).
> Applications should include:
> ·         a motivation letter describing why you would be a good fit 
> for this interdisciplinary project, and why you wish to embark on a 
> PhD trajectory;
> ·         curriculum vitae, including university qualifications and 
> grades;
> ·         an article or other recent research output clearly showing 
> your expertise in data management;
> ·         email and telephone contact information for two referees 
> (for PhD position, please notify them in advance that they might be 
> contacted).
>
> Employer
> Science, Technology, and Policy Studies (STePS) at the University of 
> Twente is one of the historically leading European departments in 
> Science and Technology Studies (STS). The Faculty of Behavioural, 
> Management and Social sciences (BMS) fosters high quality 
> trans-disciplinary knowledge in STS, philosophy and history of science 
> and technology, among other disciplines. The University of Twente 
> stands for science and technology under the ‘High tech, Human 
> touch’ motto; research and education that address grand societal 
> challenges from a high-level scholarly perspective.
>
> For more information, see 
> https://www.utwente.nl/en/organization/careers/vacancies/!/vacature/1261362 
> <https://www.utwente.nl/en/organization/careers/vacancies/!/vacature/1261362>


Dr. habil. Nils Zurawski
Universität Hamburg
Inst. für kriminologische Sozialforschung
Allende-Platz 1
20146 Hamburg
Germany
tel. +49 (0) 40 42838 2199 (AB)
fax. +49 (0) 40 42838 2328
http://www.surveillance-studies.org

Neue Bücher:
*Achtung Sicherheitskontrollen! Flughäfen, Kultur, Un/Sicherheiten. 
Gerrit Herlyn, Nils Zurawski (Hg.). LIT, 2016.

*Raum-Kontrolle-Weltbild.Raumvorstellungen als Grundlage 
gesellschaftlicher Ordnung und ihrer Überwachung. 2014 Budrich 
UniPress.

*Anthropology of Security, Perspectives from the Frontline of Policing, 
Counter-terrorism and Border Control (eds. M. Maguire, C. Frois, 
N.Zurawski) Pluto Press 2014

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