Assistant Professor - Data Science&AI (eng)

Компания "Университет Иннополис"

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 2023) 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

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:

• PhD degree in one of the above mentioned fields of expertise

• depth of expertise at least in one of the above mentioned areas

• experience of being a Teaching Assistant

• strong record of published papers in flagship journals or conferences

• 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, relocation, housing allowance, school/kindergarten.

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 at the foot of the Careers section on our website: 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.

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