Assistant Professor (f/m/d), Department of Network and Data Science

CENTRAL EUROPEAN UNIVERSITY; Österreich; Vor Ort; EUR 70 000; Vollzeit

Zusammenfassung

A prominent university in Austria seeks a full-time assistant professor in network science and computational social science. The ideal candidate will have a strong interdisciplinary research background, a PhD, and an excellent publication record. Responsibilities include teaching data science courses and producing research. An annual gross salary of €70,000 and a six-year initial contract are offered, alongside various benefits. The university promotes diversity and encourages applications from underrepresented groups.

Qualifikationen

• Strong motivation for interdisciplinary research.
• Excellent publication record in peer-reviewed journals.
• International research network.

Aufgaben

• Teach elective courses in data science at undergraduate and graduate levels.
• Produce academic research in network science.
• Supervise undergraduate and graduate theses.

Kenntnisse

Teaching data science methodology

Research in network science

Supervision of graduate theses

Ausbildung

PhD in network science or related field

Jobbeschreibung

Offer Description

The Department of Network and Data Science invites applications for a full-time faculty position at the assistant professor level in the broadly defined areas of network science and computational social science.

The candidates should have strong motivation to conduct interdisciplinary research with socially relevant impact. In particular, they should be interested in participating in teaching courses and developing projects in collaboration with other departments at CEU, and to engage with the broader research community in Vienna and Austria. We especially encourage applicants whose research would add to the intellectual diversity of our department.

The Department of Network and Data Science is an interdisciplinary unit, integrating natural, computational, and social science approaches. Further information about the Department of Network and Data Science is available at https://www.ceu.edu/departments/network-data-science.

Duties and Responsibilities

Candidates should be able to:

• Teach data science methodology courses and elective courses applied in social contexts at both undergraduate and graduate levels.
• Produce high-quality academic research in the field of network science and computational social science.
• Supervise theses at both undergraduate and graduate levels and PhD students in the Network Science PhD program.

The standard teaching load at CEU is comparable to that of research universities, 12 US credits per academic year, in addition to thesis supervision.

Qualifications

We seek applications with a background in any of the fields of network science, quantitative fields of social sciences, social data science, computer science or natural sciences, with an excellent publication record, international experience and visibility, and research interest in network science and computational social science.

Candidates must hold a PhD in one of these or closely related fields and they should demonstrate:

• Excellent record of publications in international peer-reviewed journals.
• Proof of didactic knowledge to teach at the undergraduate and/or graduate levels
• International research network.
• Strong recommendations attesting to their academic, teaching and professional capabilities

What CEU Offers

We offer an annual gross salary of € 70,000. The initial contract will be for a six-year term, with the possibility of promotion to Associate Professor with an indefinite-term contract. For a list of our benefits, please view our benefits page on our career portal.

How to Apply

Applicants are required to submit the following documents:

• A list of publications.
• A short statement of research and teaching.
• The names and contact details of three referees (candidates should arrange for two of the referees to send their recommendations directly to CEU).

CEU is an equal opportunity employer and values geographical and gender diversity, thus encouraging applications from women and/or other underrepresented groups. Since CEU strives to increase the share of women in professorial positions, given equal qualifications, preference will be given to female applicants. CEU recognizes that personal and family circumstances shape the trajectory of one’s career and working patterns. As such, and in line with CEU’s promotion of Equal Opportunities, we encourage applicants to detail periods of leave, part-time work or other such situations in their applications so that the Search Committee is able to assess an applicant’s academic record fairly in the context of their circumstances. Any declaration of personal and family circumstances is voluntary and will be handled confidentially and only considered in so far as it impacts on the academic career of an applicant.

About CEU

One of the world’s most international universities, a unique founding mission positions Central European University as both an acclaimed center for the study of economic, historical, social and political challenges, and a source of support for building open and democratic societies that respect human rights and human dignity. CEU is accredited in the United States and Austria, and offers English-language bachelor’s, master’s and doctoral programs in the social sciences, the humanities, law, environmental sciences, management and public policy. CEU enrolls more than 1,400 students from over 100 countries, with faculty from over 50 countries.

In 2019, CEU relocated from Hungary to Austria as the Hungarian government revoked its ability to issue US-accredited degrees in the country. As a result, CEU offers all of its degree programs in Vienna, Austria; and retains a non‑degree, research and civic engagement presence in Budapest, Hungary, through its CEU Democracy Institute, the Institute for Advanced Study, the CEU Summer University and the Vera and Donald Blinken Open Society Archives (OSA), and its Hungarian language public educational programs and public lectures.