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Subject: Postdoctoral Fellow in Software Engineering for AI
From: SEWORLD Moderator <[log in to unmask]>
Reply-To:SEWORLD Moderator <[log in to unmask]>
Date:Mon, 24 Apr 2023 07:16:19 -0000
Content-Type:text/plain

A Postdoctoral Fellow position in Software Engineering for AI is open in
the Data-driven Analysis of Software (DAS) lab at Concordia University,
Montreal, Canada. The position is for a two-year term, starting in the
Spring or Fall 2023 (flexible).

The postdoc fellow will be involved in several projects related to the
development, analysis, and deployment of AI-based software systems. The
postdoc will be encouraged to pursue their own relevant research interests
and collaborate with the lab's members. Candidates must hold, or shortly
expect to receive, a Ph.D. in Computer Science (or a related field) and
have a proven track record of research excellence in the area of software
engineering and/or AI systems.

The Department of Computer Science and Software Engineering at Concordia,
and more generally Montreal, has a large critical mass of software
engineering and data analytics researchers. Montreal is often voted as one
of the best cities in Canada for its livability. The city has the highest
number of university students per capita in North America and is often
ranked as one of the best cities to study abroad.

To apply, interested candidates should send:
1. A curriculum vitae
2. A 2-page research statement highlighting the most significant
accomplishments and future research directions
3. Names and coordinates of at least two referees

Please send the application materials or any questions to Dr. Emad Shihab (
[log in to unmask]). More info about the Data-driven Analysis of Software
lab can be found at: https://das.encs.concordia.ca

The review of applications will begin on May 15, 2023. However,
applications will continue to be accepted until the position is filled.

Regards,
--
Emad Shihab, PhD, P.Eng
Associate Dean, Research and Innovation
Professor and Concordia Research Chair
Gina Cody School of Engineering and Computer Science
Concordia University
EV3.112
Ph: 514-848-2424 ext. 4359
http://das.encs.concordia.ca

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