Please register for the CV & Online Identity Workshop below.

Three alumni researchers from NetSI who have become faculty members in different places in the world, will share with us their experience in the application process, talk about lessons learned, and give advice. It is an amazing opportunity to have them with us.

Join us to discuss:

• How network science researchers can be competitive in the job market
• The timeline of the application process
• What to expect in job interviews

Open to NetSI's doctoral students, postdoctoral researchers, and research scientists. Bring your questions!

We hope to see you all there!
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About the speakers

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Professor István Kovács is working on bridging the gap between structure and function in complex systems. His group is developing novel methodologies to predict the emerging structural and functional patterns in a broad spectrum of problems ranging from systems biology to quantum physics, in close collaboration with experimental groups.

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Nicola Perra is an Associate Professor in Network Science at the University of Greenwich Business School in London. He has been part of the NEU family from 2011 until 2015 working in the Mobs lab. His research focuses on dynamical processes on networks, computational social science, and digital epidemiology.

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Dr. Onur Varol is an Assistant Professor at the Sabanci University Faculty of Engineering and Natural Sciences and Principal Investigator at the VIRAL Lab. His research focuses on developing techniques to analyze online behaviors to improve individual well-being and address societal problems using online data. Prior to joining Sabanci University, he was a postdoctoral researcher at Northeastern University at the Center for Complex Network Research. He completed his PhD in Informatics at Indiana University, Bloomington (USA). His thesis focuses on the analysis of manipulation and threats on social media and he was awarded the 2018 University Distinguished Ph.D. Dissertation Award. He has developed a system called Botometer to detect social bots on Twitter and his team ranked top 3 worldwide at the 2015 DARPA Bot Detection Challenge. Efforts on studying social bots yield publications on prestigious venues such as International Conference of Web and Social Media (ICWSM), Nature Communications, World Wide Web (WWW) conference, and Communications of the ACM. He interned at Microsoft Research for two summers during his PhD to develop causal analysis of large-scale social media timelines. He is currently working on quantifying success of online personas and impact of their actions. He is also modeling user interactions, leveraging online data across multiple platforms to understand conscious and unconscious behaviors.

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