The Faculty of Computer Science and Engineering of Innopolis University invites highly promising Assistant Professors who have recently graduated or are close to graduation (completion expected in Spring 2024) and who can teach in English (the language of instruction).
More information about the Faculty can be found at https://innopolis.university/en/team-structure/team-faculty/
The latest annual report of Innopolis University's performance can be studied at https://innopolis.university/en/about/
We are interested in all backgrounds (profiles) of Data Science and AI, in particular 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
AI (Knowledge):
1. Expert Systems
2. Fuzzy Logic
3. Evolutionary Computation
4. Reinforcement Learning
5. Theory of Machine Learning and Neural Nets
AI (Fields):
1. Natural Language Processing
2. Speech
3. Vision
4. Healthcare
5. Finance
Required Qualifications:
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PhD degree in one of the above mentioned fields of expertise
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depth of expertise at least in one of the above mentioned areas
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experience of being a Teaching Assistant
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strong record of published papers in flagship journals or conferences
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practical and presentations skills
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 for a family, relocation, housing allowance, school/kindergarten. Participation and contribution to the University's commercial projects and governmental grants are compensated extra.
Responsibilities:
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:
Please kindly submit the minimum application pack via the form on our website in the Careers section: cover letter, CV (with Scopus and Google Scholar profiles links, links for the videos of public talks or lectures, if any), research statement and teaching statement, scans of BS, MS, PhD, Habilitation certificates along with the transcripts. Additionally, three referees should send a recommendation letter via the same form.
