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PhD Scholarships in Network Science

Central European University - Department of Network and Data Science

EARN A DEGREE ACCREDITED IN AUSTRIA AND THE U.S. 

PhD in Network Science / This pioneering, research-driven program will introduce you to the theory, methods and data-driven observations and analysis of networks so you can make sense of complex phenomena, which cannot be predicted by the properties of the single units but are rooted in their relational network structure. As the world’s first department dedicated to the study of today’s ever-growing field of network science, we offer advanced training and challenging coursework on the basic concepts and theories of large-scale networks and hands-on experience in taming massive datasets. 

Working across disciplines, you will learn how to measure and predict the dynamics of complex networks – biological, social, physical or technical. You will have the opportunity to focus on a specific field, such as the theory and applications of complex networks in economics, sociology, political science or environmental science, and take part in cross-disciplinary research projects. By the end of your studies, you will develop into an independent researcher who is able to uncover and untangle the patterns of our connected world. 

Elevate your research 

EXPLORE BIG DATA / efficient ways to analyze, model and visualize networks with millions of people * UNDERSTAND SOCIAL PROCESSES / friendships and phone calls, the spread of ideas and the emergence of order from chaos * DISCOVER THE SECRETS OF SUCCESS / how teams innovate, scientists make breakthroughs and entrepreneurs make their first million * UNCOVER HIDDEN WEBS / political corruption, terrorist networks, global finance and the wirings of the brain * INVESTIGATE SOCIO-ECONOMIC DIFFERENCES / inequalities, social stratification, segregation in networks, socio-economic status * EXAMINE URBAN NETWORKS / multimodal transportation systems, mobility and sustainability, infrastructural networks and smart cities * MASTER MATHEMATICAL FOUNDATIONS / graph theory, dynamic processes and graph limits 

Study in Vienna 

Apply now and study in Vienna, consistently ranked among the world’s most livable cities by the Economist Intelligence Unit. Located in the heart of Europe, the Austrian capital has much to offer, from a wide range of academic opportunities to vibrant student life. 

Fund your studies 

In pursuit of our mission, we strive to attract world-class graduate talent from all over the world. This is why we offer generous financial aid available to students from any country. Doctoral scholarships include a full tuition waiver and a monthly stipend for living expenses. ➜ www.ceu.edu/financialaid 

Spark your career 

Be it academia, government or business, there’s a rapidly growing demand for network and data scientists in our increasingly interconnected, global society. Applied network scientists are sought after by tech giants and digital disruptors who want to get insights about human behavior like their social and mobility networks to improve services and user's online experience. Students can also prepare for careers as consultants for developing business infrastructures or as risk mitigation experts at major financial institutions. 

Why CEU?  

  • World-ranked master's and doctoral programs in the humanities and social sciences
  • Valuable degree accredited in the U.S. and Austria
  • 81% of our graduate students receive financial aid
  • 7:1 student/faculty ratio
  • Close supervision and faculty contact with top researchers
  • Students and faculty from 100+ countries
  • Committed to academic freedom and open debate
  • Based in Vienna, ranked among the world’s most livable cities by the Economist Intelligence Unit 

Apply by 

  • February 28, 2022 for PhD in Network Science with financial aid 

Contact 

For further enquiries, please contact:

Student Recruitment Office

Email: student-info@ceu.edu  

Qualification Type: PhD
Location: Vienna - Austria
Funding for: UK Students, EU Students, International Students
Hours: Full Time
Placed On: 25th October 2021
Closes: 28th February 2022
   
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