Call for Associate Professor in Computer Science – UNIVE
Pubblicato il 06-10-2026 - CVPL in Venezia
Call for Associate Professor in Computer Science – UNIVE
Further open positions as Tenure Track Assistant Professor or Tenured Associate Professor will be opened during the next year.
We invite all applicants, interested in the upcoming or future open positions, to submit an expression of interest to call (email hidden)
Deadline for sending an expression of interest:Jan 9th, 2017
Requirements
Phd, good publication record, participation/leadership in research projects, experience in teaching at graduate/undergraduate levels in English and/or Italian.
According to the Italian legislation, to apply for a Tenured Associate Professorship candidates have to possess an Italian Scientific Habilitation for this position, or they have to hold an equivalent academic position (associate professor) at their current Italian or foreign university. Moreover, in order to apply for a Tenure Track Assistant Professorship, candidates must have completed three years of postdoc research.
Computer and Data Science at Ca’ Foscari
Computer Science at UCF has a relatively long tradition.
Since more than 25 years we offer a complete cycle of study in Computer Science, including Bachelor, Master, and PhD (1st, 2nd, and 3rd level, according to the Bologna framework), where the instruction language of the Master/PhD programs is English. Our group of researchers and instructors also includes statisticians, along with we designed specializations in “Data Science” within our degrees.
Our faculty is also involved in offering novel educational programs. Besides the new professional master in “Digital Humanities”, we are planning an innovative Bachelor course in “Digital Management”, which offers students the possibility of acquiring advanced skills on ICT, Management and Economics, in strict collaboration with companies and startuppers.
The main research activities on “Computer and Data Science” at DAIS are organized around two centers: “Center for AdvanCes in Autonomous, DIstributed and pervAsive