[Job-offers-cs] Machine Learning Faculty Position at the University of Kansas

[Pekka Orponen]

-------- Forwarded Message --------
Subject: 	[SIAM-OPT] Machine Learning Faculty Position at the University 
of Kansas
Date: 	Fri, 11 Oct 2019 05:43:37 +0000
From: 	Shontz, Suzanne Michelle <shontz at ku.edu>
To: 	Pekka Orponen <pekka.orponen at aalto.fi>
CC: 	Optimization SIAG mailing list <siam-opt at siam.org>

Dear All:

I am pleased to let you know of an opening in the School of Engineering 
and Department of Electrical Engineering and Computer Science at the 
University of Kansas for an assistant professor in Computer Science.

Computer Science (http://www.employment.ku.edu/academic/15765BR 
<https://mail.ku.edu/owa/redir.aspx?REF=p32LKC7vy5aOp1MlXf8yoGb5NavqPq8LEHQBAcklN7sr6B4WDU7XCAFodHRwOi8vd3d3LmVtcGxveW1lbnQua3UuZWR1L2FjYWRlbWljLzE1NzY1QlI.>). 


Expertise of interest ranges from classification to deep learning and 
neural networks, software/hardware implementation of machine learning 
algorithms, optimization and artificial intelligence, and data mining.

The Department of Electrical Engineering and Computer Science (EECS) has 
42 faculty members and over 800 undergraduate and 150 graduate 
students.  The KU School of Engineering and EECS Department are poised 
for strong growth in scholarly research, endowment and corporate 
funding, and student enrollment.  The University of Kansas School of 
Engineering (SoE) and the EECS Department strongly value diversity, 
equity, and inclusion.  We seek candidates who can contribute to 
fostering an inclusive culture.  KU SoE is one of only 29 universities 
to achieve the exemplar, inaugural ASEE Diversity Recognition Bronze 
Award https://diversityrecognition.asee.org/award-recipients/ 
<https://mail.ku.edu/owa/redir.aspx?REF=ALIKT8-Bq9BTrHzoTCsxuM6K3csnlwquEnPZmlgfy-or6B4WDU7XCAFodHRwczovL2RpdmVyc2l0eXJlY29nbml0aW9uLmFzZWUub3JnL2F3YXJkLXJlY2lwaWVudHMv>.


Best regards,

Suzanne

Suzanne Shontz
Chair, Machine Learning Faculty Search Committee
Department of Electrical Engineering and Computer Science
University of Kansas