Connectionists: faculty positions at the Central European University

[Máté Lengyel]

Note that the search below includes machine learning even if it is not specified explicitly in the advert.

https://hro.ceu.edu/vacancies/faculty-positions-2 

***

The Department of Network and Data Science [http://networkdatascience.ceu.edu] at the Central European University (CEU) [https://www.ceu.edu/] invites applications for two full-time faculty positions (one at the associate and one at the assistant professor level) in the area of network science and data science.

The Department of Network and Data Science was established as an interdisciplinary unit, integrating natural science and social science approaches. CEU is a graduate research-intensive university specializing in the social sciences, humanities, law, public policy and management. It is accredited in the United States and Hungary. CEU’s mission is to promote academic excellence, state-of-the-art research, research-based teaching and learning and civic engagement, in order to contribute to the development of open societies in Central and Eastern Europe, the former Soviet Union, and other emerging democracies throughout the world. CEU offers both Master’s and doctoral programs, and enrolls more than 1,400 students from over 100 countries. The teaching staff consists of more than 180 resident faculty, from over 50 countries, and a large number of prominent visiting scholars from around the world. The language of instruction is English. CEU is an equal opportunity employer.

We expect applications from network scientists, data scientists, or social scientists with an excellent publication record. We especially encourage researchers with experience in: social networks and organizations, urban mobility and spatial networks, digital inequalities, data visualization, economic complexity. The candidates should have strong motivation to conduct interdisciplinary research and be interested in participating in projects with several departments at CEU. Capability of high-quality teaching is assumed.

Candidates should have a PhD in either network science, data science, social science, physics, or equivalent by the start date (August 1) as well as an excellent record of publications in international peer-reviewed journals.

We offer a competitive salary that is commensurate with experience as well as a dynamic and international academic environment. Teaching load is comparable to that of research universities.

The normal teaching load at CEU is 12 taught credits (where one credit equals 50 minutes of classroom contact over a 12-week academic term) per academic year, plus thesis supervision.

Applicants need to submit:
	• A comprehensive C.V.,
	• Names of three referees (candidates should ask two referees to send recommendations directly to the CEU)
	• List of publications,
	• A sample publication,
	• And a short statement of research and teaching.
Review of applications will begin January 14, 2019 and will continue until the positions are filled.

Start date: Aug 1, 2019

Questions of an academic nature may be addressed to Janos Kertesz (cc), Director of the Department of Network and Data Science (kerteszj at ceu.edu) 

Please send your complete application package to: advert098 at ceu.edu - including job code in subject line: 2018/098

The privacy of your personal information is very important to us. We collect, use, and store your personal information in accordance with the requirements of the General Data Protection Regulation. To learn more about how we manage your personal data during the recruitment process, please see our Privacy Notice at https://hro.ceu.edu/KEE_privacy_notice.

-- 
Mate Lengyel

Professor of Computational Neuroscience
Computational and Biological Learning Lab
Cambridge University Engineering Department
Trumpington Street, Cambridge CB2 1PZ, UK
tel: +44 (0)1223 748 532, fax:  +44 (0)1223 332 662

Senior Research Fellow
Department of Cognitive Science
Central European University
Oktober 6 street 7, Budapest H-1051, Hungary
tel: +36 1 887 5142 , fax: +36 1 887 5010