Associate Professor - Data Science&AI
Требуемый опыт работы: 3–6 лет
Полная занятость, полный день
The Faculty of Computer Science and Engineering of Innopolis University invites high-caliber Associate Professors and who can teach in English (the language of instruction).
Specifically, we are looking for candidates whose research/teaching interests and expertise are in one of the following fields: DATA SCIENCE:
1. Designing, Creating and Managing large volumes of data
2. Identifications of Pattern in the Data
3. Visualisation Tools
4. Creating Mathematical Models
1. Expert Systems
2. Fuzzy Logic
3. Evolutionary Computation
4. Reinforcement Learning
5. Theory of Machine Learning and Neural Nets
1. Natural Language Processing
PhD degree in one of the above mentioned fields of expertise
2+ years of Assistant Professorship
record of published papers in A* conferences
Compensations and benefits:
The initial appointment is 3-years with expectation for renewal with benefits, including the low taxation level of Russia (max.15%), 56 days of annually paid vacations, paid health care coverage, relocation, housing allowance, school/kindergarten.
Up to 120 academic hours of frontal teaching theory+practice rich courses typically distributed in 4 courses per year, leading high quality research, advising and mentoring students, contributing to community services and other activities related to developing and maintaining the intellectual and cultural environment of the University. Typical workload distribution: teaching - 40%, research - 40%, service - 20%.
How to apply:
Candidates should submit a full application package, consisting of cover letter, CV (with Scopus and Google Scholar profiles links, links for the videos of public talks or lectures, if possible), research statement, teaching statement, scans of BS, MS and PhD certificates along with the transcripts in pdf format by email. Additionally, they should arrange to have three reference letters sent by email to the same address.
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- Своевременная оплата труда
- Удаленная работа
- Медицинское страхование