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Assistant Professor in Cognitive Science and Humanities Computing

Aarhus Universitet (AU)



The School of Communication and Culture at Aarhus University invites applications for the position of assistant professor of humanities computing based at the Department of Linguistics, Cognitive Science and Semiotics (LICS) and the Center for Humanities Computing Aarhus (CHCAA).

The assistant professorship is a full-time and fixed-term three-year position. The position begins on 4 January 2021 or as soon as possible thereafter.

The School of Communication and Culture is committed to diversity and encourages all qualified applicants to apply regardless of their personal background.

The position
Based at Department for Linguistics, Cognitive Science and Cognitive Semiotics (LICS), the position will be associated with the Center for Humanities Computing Aarhus (CHCAA). LICS offers Bachelor’s and Master’s degree programmes within the fields of linguistics, cognitive science and cognitive semiotics. LICS has a strong research environment focused on cognitive, functional and usage-based approaches to documenting, describing and analysing languages and social interaction; on experimental and computational modelling approaches to human cognition and behaviour; on psycho- and neurolinguistics; on theoretical text linguistics; and on cognitive semiotics.

CHCAA is a research and development unit at the Faculty of Arts that actively participates in research projects across the faculty. Importantly, CHCAA also conducts independent research on methods and technology in humanities computing, which it uses to develop new services for partners and which it publishes independently in relevant academic fields. The successful applicant will therefore be expected to engage in methods development and statistical analysis and to write and present co-authored papers.

We are looking for an innovative and dedicated applicant who will strengthen the research and teaching profiles of LICS and the CHCAA nationally and internationally as well as contribute to Aarhus University’s core activities in the areas of research, teaching and supervision, talent development and knowledge exchange.

Research
The position will focus primarily on the areas of natural language processing and cultural analytics, which are both main teaching and research areas within LICS’s portfolio. CHCAA currently has three active independent research strands: 1) Information modelling of cultural dynamics; 2) Data integration and representation learning for heterogeneous data; and 3) Non-relational database generators for unstructured and heterogeneous data. All three strands combine cutting-edge research in fields such as cultural analytics, natural language processing and applied machine learning. The assistant professor will be expected to participate in or propose at least one active research strand integrating LICS and CHCAA research agendas as well as publish independent papers based on original research in either cultural analytics, natural language processing or applied machine learning.

We are therefore seeking an assistant professor with up-to-date knowledge and strong technical skills in humanities computing, including the ability to develop new computational tools that utilise machine learning, natural language processing and computer vision to study human society and culture. Applicants should have a solid foundation in the technical aspects of humanities computing and related fields (e.g., digital humanities, culture analytics), a proven track record in software development for research, and an enthusiasm for working in collaboration with domain experts from linguistics, cognitive science and disciplines in the humanities. The ideal applicant would have experience combining humanities computing research with standard software development methodologies, research data management and system administration. Applicants should be able to collaborate across diverse knowledge domains and be interested in developing innovative software solutions together with non-technical researchers and research teams. An interest in questions of data augmentation and low-resource data in the context of large-scale unsupervised language models will be considered favourably.

Teaching and supervision
The successful applicant will be expected to take part in the department’s teaching and supervision activities and will be expected to teach and supervise students on LICS’s Bachelor’s and Master’s programmes, particularly in the Bachelor of Science in Cognitive Science and MSc in Cognitive Science degree programmes, and the Bachelor’s Supplementary Subject in Cultural Data Science. Please indicate in your application which courses you could teach.

The successful applicant will also be expected to apply innovative teaching methods and to contribute to heightening the social and career relevance of the BSc and MSc Cognitive Science and Cultural Data Science programmes. The assistant professor will furthermore be expected to contribute to the ongoing development of course content related to cloud computing, IT process automation and software development. The successful applicant will be expected to develop supervision capabilities at both BSc and MSc levels.

The person appointed to the post of assistant professor must complete Aarhus University’steacher-training programme for assistant professors, which is designed for university teaching.

Knowledge exchange
It is expected that the successful applicant will engage in knowledge exchange, for instance in terms of research collaboration with private companies, government consultancy, collaboration with civil society, and the public dissemination of knowledge, or contribute to the ongoing development of LICS’s and the CHCAA’s general outreach strategy.

The successful applicant will be expected to foster meaningful teaching and research partnerships with organisations outside of the university. Experience developing external teaching and research and teaching partnerships with non-university organisations will be considered favourably.

The successful applicant will have excellent opportunities to engage in collaborative initiatives with partners inside and outside Aarhus University. These include international research and infrastructure networks focused at the Interacting Minds Centre, the Danish e-Infrastructure Cooperation, The Carpentries and CodeRefinery.

Qualifications
Applicants must have a PhD degree or must document equivalent qualifications in a relevant field related to linguistics, cognitive science or humanities computing. Applicants must be able to document, relevant to the position:

  • an internationally oriented research profile within natural language processing, cultural analytics or machine learning
  • an ability to develop and apply computational tools and applications in two or more research fields in humanities
  • experience of popular programming languages for scientific computing (e.g., Python, R, and Julia), version control with Git, shell scripting and machine learning frameworks (e.g., TensorFlow or PyTorch)
  • experience of or interest in participating in national and international research collaboration, where the applicant is driving technological research and innovation
  • relevant teaching experience at university level, including innovative teaching methods, commensurate with that attained through a PhD.

Furthermore, it will be considered an advantage if applicants can document

  • experience of server and infrastructure management, including cloud technology, and the use of this in teaching contexts
  • experience of at least one compiled language (C, C++, or Rust)
  • experience in research IT support and collaboration.

Finally, applicants are asked to provide a research plan for the next three years as well as their strategy/vision for their contribution to future developments within LICS and CHCAA.

Please note that applications that do not include uploaded publications (maximum five) will not be considered.

Work environment
Active participation in the daily life of the department is a high priority, and we emphasise the importance of good working relationships, both among colleagues and with our students. In order to maintain and develop the department’s and CHCAA’s excellent teaching and research environment, the successful applicant is expected to be present at the department on a daily basis.

We respect the balance between work and private life and strive to create a work environment in which that balance can be maintained. SeeFamily and work-life balance for further information.

International applicants
International applicants are encouraged to seeAttractive working conditions for further information about the benefits of working at Aarhus University and in Denmark, including healthcare, paid holidays and, if relevant, maternity/paternity leave, childcare and schooling. Aarhus University offers a wide variety of services for international researchers and accompanying families, including arelocation service and career counselling for expat partners. For information about taxation, seeTaxation aspects of international researchers’ employment by AU.

If the successful applicant does not speak Danish, he or she will be required to acquire sufficient Danish to participate fully in the activities of the School of Communication and Culture within approximately three years of commencing the appointment.

The Department of Linguistics, Cognitive Science and Semiotics
The place of employment is the Department of Linguistics, Cognitive Science and Semiotics. The department has close research connections to departments and research centres across Aarhus University. The department offers BSc and MSc programmes in cognitive science, linguistics and semiotics, and elective programmes in social cognition and cultural data science.

For more information, prospective applicants are invited to view the department’s website.

CHCAA
CHCAA belongs to the Faculty of Arts. You can find relevant information about CHCAA on itswebsite.

School of Communication and Culture
The school is a part of the Faculty of Arts. You can find information about the school and itsresearch programmes,departments and diverse activities on itswebsite.

Contact
For further information about the position, please contact Joshua Charles Skewes, Head of the Department of Linguistics, Cognitive Science and Semiotics, by e-mail: filjcs@cc.au.dk.

If you need help uploading your application, or if you have any questions about the recruitment process, please e-mail HR supporter Mads Brask Andersen: mban@au.dk.

Qualification requirements
Applicants should hold a PhD or equivalent academic qualifications.

Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners: http://ias.au.dk/au-relocation-service/. Please find more information about entering and working in Denmark here: http://international.au.dk/research/.

Formalities

  • Faculty of Arts refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities (the Appointment Order).
  • Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations.
  • Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities .
  • Further information on the application and supplementary materials may be found in Application Guidelines.
  • The application must outline the applicant's motivation for applying for the position, attaching a curriculum vitae, a teaching portfolio, a complete list of published works, copies of degree certificates and examples of academic production (mandatory, but no more than five examples). Please upload this material electronically along with your application.

If nothing else is noted, applications must be submitted in English. Application deadline is at 11.59 pm Danish time (same as Central European Time) on the deadline day.
All interested candidates are encouraged to apply, regardless of their personal background.

Faculty of Arts
The Faculty of Arts is one of four main academic areas at Aarhus University.
The faculty contributes to Aarhus University's research, talent development, knowledge exchange and degree programmes.
With its 500 academic staff members, 260 PhD students, 10,500 BA and MA students, and 1,500 students following continuing/further education programmes, the faculty constitutes a strong and diverse research and teaching environment.

The Faculty of Arts consists of the School of Communication and Culture, the School of Culture and Society, the Danish School of Education, and the Centre for Teaching Development and Digital Media. Each of these units has strong academic environments and forms the basis for interdisciplinary research and education.
The faculty's academic environments and degree programmes engage in international collaboration and share the common goal of contributing to the development of knowledge, welfare and culture in interaction with society.

Read more at arts.au.dk/en

The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.
Aarhus University
Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 38,000 students (FTEs) and 8,000 employees, and has an annual revenues of EUR 885 million. Learn more at www.international.au.dk/

Application Deadline: 28-09-2020

Ansøgningsfrist: 28.09.2020

Placering: Aarhus Nordre Ringgade 1

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Aarhus Universitet (AU)
Aarhus Universitet (AU)
Aarhus Universitet blev grundlagt i 1928 og er i dag i den absolutte verdenselite på flere forskningsfelter. Aarhus Universitet (AU) er blandt verdens 10 bedste universiteter grundlagt inden for de seneste 100 år og har en lang tradition for partnerskaber med nogle af verdens bedste forskningsinstitutioner og universitetsnetværk.

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