Open Position @ ISI

The ISI Foundation is looking for exceptional candidates for joining the Algorithmic Data Analytics research team lead by Dr. Francesco Bonchi. The appointed researcher will undertake fundamental research activities related to the development of methods and algorithms for data science. Talented and highly motivated postdoctoral researchers, as well as  more senior researchers with internationally-recognized achievements, will be considered.

Main research areas:
- Algorithms for network science and graph mining.
- Algorithmic bias and discrimination avoidance.
- Machine learning and optimization for finance.
- Brain networks analysis.

Specifically you will:
- Carry out innovative, impactful research.
- Produce high quality scientific and technical outputs including journal articles, conference papers, and presentations.
- Get involved in applied research projects with industrial partners.

Core skills you will need:
- Ph.D. in Computer Science or related disciplines, with special emphasis on one of the following areas: Data Mining, Machine Learning, Algorithmic Theory, High Performance (Data-intensive, Scalable, Distributed, Streaming) Computing, Data Bases.
- An established publication record in first-tier venues in the above mentioned areas.
- Strong programming skills.
- Creativity and excellent personal skills.

ISI offers:
- We provide an unusually rich opportunity for collegial interaction in a highly competitive and multidisciplinary environment.
- We provide a wide range of opportunities for collaboration with external partners, both in academia and industry.
- We provide a competitive salary according to the qualifications and medical and pension benefits according to the Italian State.

The positions will remain open until filled.

To apply, please send your cover letter, curriculum vitae and professional reference list to Dr. Francesco Bonchi.
For any further information, please refer to Dr. Francesco Bonchi.

ISI is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, gender, sexual
orientation, age, religion or disability.