30th November 2018 : Postdoc Deep Dynamics Group / Centre for Human and Machine Intelligence, Frankfurt

De: « Jan Nagler » <jnagler@ethz.ch>
À: « info statphys » <info.statphys@listes.ens-lyon.fr>
Envoyé: Vendredi 23 Novembre 2018 10:10:48
Objet: [info.statphys] Postdoctoral opening at Deep Dynamics Group / Centre for Human and Machine Intelligence, Frankfurt

Dear Colleagues,

For a truly cross-disciplinary research project, there is an opening for a postdoctoral researcher who will be fully funded by the InsurTech company Air (www.myair.io) . The candidate will closely collaborate with Prof. Giustiziero and Prof. Klingebiel (Strategy and Behavioral Economics) as well as with Prof. Elsaesser and my group (Centre for Human and Machine Intelligence and Deep Dynamics Group) at Frankfurt School of Finance and Management. We seek a candidate with a PhD in Computer Science, Mathematics, Physics or a related field and a clear mastery of quantitative research methods, such as numerical modelling, machine learning, and big data. He or she will be involved in the development of an automotive insurance platform, working on the analysis of geolocalized time series of customer driving data. The focus will be on identifying behavioral patterns and designing interventions to encourage safer driving. Work will start at the candidate’s earliest convenience.

Review of applications will begin on December 1, 2018. Applications will be accepted until the position is filled. Please submit your CV, sample papers, and the contact information of at least two references by email to Roberta Addeo at careers@myair.io.

For further information, please contact me (j.nagler@fs.de) or Prof. Giustiziero (g.giustiziero@fs.de).

Please submit your CV, sample papers, and the contact information of at least two references by email to Roberta Addeo at careers@myair.io.    

Air and the Frankfurt School of Finance and Management are equal-opportunities employers and encourage applications from diverse backgrounds.


I appreciate any help to pass on this announcement to suitable candidates, colleagues or your department’s notice boards.
Jan Nagler

—
jan nagler
head, deep dynamics group
member, centre for human and machine intelligence
associate professor, frankfurt school
vice chair, physics of socio-economic systems division of the german physical society
—
how not to use autonomous systems? how to beat optimal ZD strategies? 
how to control percolation with limited resources? what is a pertinent phenospace 
in shared antibiotic resistance? what else?
—
Phys. Rev. Lett. 120: 058101 (2018)—unfair evolutionary dynamics from fluctuating payoffs
Phys. Rev. Lett. 120: 248302 (2018)—how to explain explosive globalization?
Towards Digital Enlightenment (2018)— how to extend asimov’s laws of robotics?
Phys. Rev. E 98: 022408 (2018) — anomalous network growth and the origin of life
Phys. Rev. Lett. 118: 088301 (2017)—universality classes in complex contagion?
Nature Commun. 7: 10441 (2016)—why core peripheries in world aviation and other networks?
Nature Physics 11: 531 (2015)—mechanisms and features of anomalous percolation 
Phys. Rev. Lett. 112: 155701 (2014)—how transition cascades announce percolation
Phys. Rev. Lett. 112: 228101 (2014)—network dynamics of earth’s biodiversity 
Nature Commun. 3: 2222 (2013)—crackling noise in discontinuous percolation
Phys. Rev. X 2: 031009 (2012) —continuous percolation from stochastic devil’s staircases
Nature Physics 7: 265 (2011) —impact of single links in competitive percolation
Nature 479: 153 (2011); Nature Physics 7: 930 (2011); Science 334: 1183 (2011): 
scaling laws of being off; and Nature 455: 434 (2008)—how random are dice?
—
http://www.nld.ds.mpg.de/~jan/








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