<div dir="ltr"><div><div align="center" style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:center;margin:0in 0in 0pt"><b>Data Science Laboratory</b></div><div align="center" style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:center;margin:0in 0in 0pt">
<b>Department of Mechanical and Industrial Engineering</b></div><div align="center" style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:center;margin:0in 0in 0pt"><b>Faculty of Engineering and Architectural Science</b></div>
<div align="center" style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:center;margin:0in 0in 0pt"><b>Post Doc Position</b></div><div style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:left;margin:0in 0in 0pt">
</div><div style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:justify;margin:0in 0in 0pt">Data Science Lab (DSL) is engaged in research and training programs. Research in DSL involves design of intelligent algorithms and development of decision making models to form risk management systems, personalized diagnosis and patient treatment systems, and process modeling systems. DSL invites applications for a one-year full-time Post-doctoral research position to work in projects in collaboration with our industry partners. The position is subject to final budgetary approval.</div>
<p style="font-family:Arial,sans-serif;margin-top:10px;color:rgb(61,60,60);margin-bottom:10px;padding:0px;font-size:13px;text-align:left"></p><h2 style="font-family:Arial,sans-serif;margin-top:0px;margin-bottom:0.5em;font-size:1.27em;color:rgb(61,60,60);text-align:left">
Qualifications</h2><p style="font-family:Arial,sans-serif;margin-top:10px;color:rgb(61,60,60);margin-bottom:10px;padding:0px;font-size:13px;text-align:left"><span style="text-align:justify">The position requires a PhD degree in Computer Science, Data Mining/ Machine Learning, or closely related area. The successful candidate is expected to perform empirical data analysis, develop algorithms, writing publications, and presenting at conferences, working with a team of graduate and undergraduate students as well as industry partners, identifying and following through on new grant opportunities, and other aspects of academic scholarship.</span></p>
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Candidates should have a strong background in data mining involving big data, with established track record of publishing in key conferences and workshops, as well as familiarity with and ideally experience with industrial data analysis and machine learning.</div>
<p style="font-family:Arial,sans-serif;margin-top:10px;color:rgb(61,60,60);margin-bottom:0px;padding:0px;font-size:13px;text-align:left"><strong>Notes:</strong></p><p style="font-family:Arial,sans-serif;margin-top:0px;color:rgb(61,60,60);margin-bottom:10px;padding:0px;font-size:13px;text-align:left;text-indent:2em">
</p><p style="font-family:Arial,sans-serif;margin-top:10px;color:rgb(61,60,60);margin-bottom:10px;padding:0px;font-size:13px;text-align:left"><span style="text-align:justify">Ryerson University is known for innovative programs built on the integration of theoretical and applied learning. More than 95 undergraduate and graduate programs are distinguished by a professionally focused curriculum and strong emphasis on excellence in teaching, research and creative activities. Ryerson is also a leader in adult learning, with the largest university-based continuing education school in Canada. Ryerson University is located in the multi-cultural heart of Downtown Toronto.</span></p>
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Please send your letter and resume by May 24, 2013 to:</div><div style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:left;text-indent:0.5in;margin:0in 0in 0pt">Dr. Ayse Bener</div><div style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:left;text-indent:0.5in;margin:0in 0in 0pt">
Director and Professor</div><div style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:left;margin:0in 0in 0pt"> Data Science Lab</div><div style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:left;margin:0in 0in 0pt">
Department of Mechanical and Industrial Engineering</div><div style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:left;margin:0in 0in 0pt"> Ryerson University</div><div style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:left;margin:0in 0in 0pt">
350 Victoria Street</div><div style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:left;margin:0in 0in 0pt"> Toronto, Ontario, M5B 2K3</div><div style="color:rgb(61,60,60);font-family:Arial,sans-serif;font-size:13px;text-align:left;text-indent:0.5in;margin:0in 0in 0pt">
Email: <a href="mailto:ayse.bener@ryerson.ca">ayse.bener@ryerson.ca</a></div><p style="font-family:Arial,sans-serif;margin-top:10px;color:rgb(61,60,60);margin-bottom:10px;padding:0px;font-size:13px;text-align:left"></p><p style="font-family:Arial,sans-serif;margin-top:10px;color:rgb(61,60,60);margin-bottom:10px;padding:0px;font-size:13px;text-align:left">
<b></b><br></p><p style="font-family:Arial,sans-serif;margin-top:10px;color:rgb(61,60,60);margin-bottom:10px;padding:0px;font-size:13px;text-align:left"></p></div>-- <br>Ayse Basar Bener, PhD<div>Professor</div><div>Data Science Lab</div>
<div>Department of Mechanical and Industrial Engineering</div><div>Ryerson University</div><div>350 Victoria Street, Toronto, ON Canada M5B 2K3</div><div>Tel: 1 416 979 5000, X- 3155</div><div>Web: <a href="http://www.ryerson.ca/~abener/" target="_blank">http://www.ryerson.ca/~abener/</a></div>
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