2 PostDoc positions at University of Pisa (Department of Computer Science), Italy
Two postDoc positions available at the Department of Computer Science, University of Pisa (Italy) on “Algorithmic issues in machine/deep learning with application to Information Retrieval”.
- Position type: post-doctoral fellowship, 1 year (+1 year)
- Starting date: Summer 2021
- Location: Department of Computer Science, University of Pisa, Italy
The two PostDoc positions focus on algorithmic issues in machine/deep learning with application to Information Retrieval (IR). The research will focus on the design and implementation of efficient and scalable algorithms that can provide effective answers to complex queries by possibly using a limited amount of computational resources. Applicants should have a PhD in computer science with proven top programming skills.
The PostDoc will work in strict collaboration with Rossano Venturini (Associate Professor @ Department of Computer Science, University of Pisa, https://rossanoventurini.github.io/) and Franco Maria Nardini (Researcher @ High Performance Computing Laboratory, ISTI-CNR, Pisa, http://hpc.isti.cnr.it/~nardini).
Successful candidates are expected to hold a PhD degree in Computer Science, Computer Engineering, or closely related disciplines, and a proven record of excellent publications. Preferably, the topic of the PhD thesis should be in one of the relevant research areas (Algorithms, Information Retrieval, Natural Language Processing, or Machine Learning on Textual Data). Good written and spoken communication skills in English are required. They are expected to have vision, ambition, and passion for research. They should be eager to co-supervise PhD and MS student projects.
Interviews with selected candidates will be organised based on received applications. The positions will be filled as soon as suitable candidates are identified. Interested candidates are thus strongly encouraged to send their application as soon as possible.
Applications should consist of (all documents in English):
- a complete CV and the PhD thesis of the applicant.
- a 1-page research statement and plan on the topic of the call.
- at least one contact person (2 even better) who could act as reference(s).