Job openings in the Barabási Lab

Network Science Institute at Northeastern University

Boston, MA

The lab of Professor Albert-László Barabási, together with the Network Science Institute at Northeastern University and the Division of Network Medicine at Harvard University, is looking for postdoctoral associates in the area of network science, network medicine, and bioinformatics. The postdoctoral associate will work on projects related to computational systems biology and network medicine. We are seeking motivated individuals with experience and interest in the development of network methods for the analysis of biological data (e.g. omics, EHR) and biological networks. 

The candidate must be able to deal with large-scale data analysis and have knowledge on biological databases and interest in applying network science tools to these systems. Background in statistical modeling and machine learning in biological contexts is a plus. The ideal candidate has a bioinformatics, physics, computer science, mathematics or bioengineering PhD, and previous research experience in bioinformatics or biological networks.

All interested candidates should submit a formal application consisting of (i) a current CV with publication lists, (ii) a brief statement of research experience and interests, and (iii) two letters of recommendation sent separately by the writers to 

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Indiana University Network Science Institute (IUNI)

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IMT School for Advanced Studies Lucca

2018/19 PhD Programs at the IMT School for Advanced Studies Lucca

Deadline for applications – August 3rd 2018, 12 pm CEST

Applications are now being accepted for the 2018/19 PhD Programs at the IMT School for Advanced

Studies Lucca (, one of the six Schools of Excellence in Italy and one of the highest rated

graduate schools in Europe according to the most recent U-Multirank survey. Highly motivated candidates from all

disciplines are invited to apply for one of the 36 fully-funded scholarships within two doctoral Programs that

integrate scientific competences of economics, engineering, computer science, neuroscience and behavioral

psychology, physics, applied mathematics, statistics, history and sciences of cultural heritage.

Economics, Networks and Business Analytics is one of the four field-specific Tracks offered and is under the

“Systems Science” PhD Program. This Track provides participants with a solid knowledge on modern analytical

methods in economics and management. With its multidisciplinary approach, the Track is unique in its deployment

of a strong integration of concepts, analytical foundations, and practical expertise, to educate the new generation

of economists, scientists and practitioners with distinctive capabilities in analyzing, interpreting, and managing

complex socio-economic systems. Graduates will be trained to become researchers and decision makers in

academia, policy and industry by integrating knowledge at the boundary of Economics, Statistical Physics,

Computer and Social Sciences with the unifying language of Mathematics and Statistics. Close associations with a

selected set of companies and institutions provide the opportunity to analyze relevant problems, motivating new

analytical techniques from practical problem solving. Students are involved in the analysis of real world high

dimensional data, in collaboration with companies and institutions. During their doctoral studies, students are also

encouraged to carry out their research with the School’s Research Units.

Courses are led by world-renowned researchers and provide students with all the theoretical skills and advanced

tools required for rigorously tackling a multitude of analysis, design and management problems within the broad

framework of systems analysis in economic, social, physical, technological and cultural domains. Specialized faculty

and staff create a network that provides key guidance and support throughout the PhD Program. Working closely

with faculty, both in the classroom and in the development of research, students reach the highest levels of

scholarly achievement. IMT School PhD graduates will be able to use the skills they acquired during their studies

to recognize and resolve complex problems, to choose the most appropriate method or instrument to utilize when

approaching these problems, even in disciplines outside of their primary field of research.

All students are based in the recently restored San Francesco complex, a fully integrated Campus in the historical

center of the beautiful Tuscan city of Lucca. The Campus includes renewed residential facilities, an on-site canteen,

study and living rooms, a state-of-the-art library and outdoor recreational spaces, which foster a unique cultural,

professional and social environment for our doctoral program. Eligible students, in addition to free room and board,

will also receive a research scholarship which amounts to approximately €15,300/year. Additional funding for

further research stages, including scholarships to cover an eventual fourth year to complete the PhD thesis, can be

assigned on a competitive basis.

The PhD Programs at the IMT School attracts students from around the world, providing a truly international

environment. English is the official language of the School. Moreover, all students will have the opportunity to

spend periods abroad at research institutes, laboratories or universities, both within the Erasmus+ framework and

through ad hoc mobility agreements.

Most IMT School PhD Graduates have reached prominent roles in academics, governmental institutions, public and

private companies or professions across the globe.

To find out more about the School, the admission requirements and how to apply, please see

Deadline for applications – August 3rd 2018, 12 pm CEST

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Scalable Cooperation at MIT Media Lab

Cambridge, MA

Scalable Cooperation in MIT Media Lab is looking for a post-doc to work on how Artificial Intelligence is impacting labour. We are looking for complex systems, networks and general computational social science knowledge. You could be an applied mathematician, physicist, social scientist or computer scientist: what matters more than background is that you like to apply hard science to societal problems. Good publications and proven data science experience is essential. Possible topics include diffusion of technological innovations, labour market dynamics and economic resilience.The work is interdisciplinary and the team is smart and supportive. There are opportunities to work with top people in academia and industry. Check out some previous work for more details Journal of Royal Society Interface and Technology Review.Please send a CV, research statement (1-2 pages) and sample publications (2-3) to

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