Job ID: 143677

SCALE AI Research Chair in Artificial Intelligence for Supply Chain

Concordia University

  • Jul. 2, 2020
 
  • SCALE AI Research Chair in Artificial Intelligence for Supply Chain
  • The Gina Cody School of Engineering and Computer Science
  • http://www.concordia.ca/hr/jobs/open...
  • Concordia University
    Montreal,
    Canada
 
  • Aug. 15, 2020
  • Sep. 1, 2020
  •  
 
  • Associate Professor
    Professor
  • Computer Science
    Engineering - Other
 
 

SCALE AI Research Chair in Artificial Intelligence for Supply Chain

Concordia University seeks an outstanding candidate for a position in Artificial Intelligence for Supply Chain at the rank of Associate or Full Professor. The successful candidate will be required to work with the university to prepare and apply for a SCALE AI Research Chair in Artificial Intelligence for Supply Chain. The five-year research chair comes with an attractive funding package evaluated at approximately $2M. This call extends to all individuals with demonstrated expertise and interests in the following: Artificial intelligence, machine learning, supply chain analytics, operations research, use of AI to solve real-world problems in the areas of, but not limited to: network planning, inventory management and warehousing, supply chain competition and collaboration, global logistics, forecasting, supply chain integration. The position requires a demonstrated ability to work in collaborative multidisciplinary settings.
Concordia University is strongly committed to building a diverse, equitable, and inclusive community, and recognizes the importance of inclusion in achieving excellence in teaching and research. Commensurate with their rank candidates will be assessed on their demonstrated potential to attract diverse students and industrial collaborators to Concordia University, conduct internationally recognized research, secure external research funds, as well as teach and drive curricular development within their respective area.

About Concordia

Concordia University is recognized as Canada’s top university under the age of 50 and one of the most international universities in the world. With more than 7,000 faculty and staff, and 47,000 students, Concordia enables individuals to grow, contribute and innovate.

Located on two campuses in the heart of cosmopolitan Montreal, our faculty and students benefit from state-of-the-art research and teaching facilities and compelling program offerings in our four Faculties, Library, School of Graduate Studies and Centre for Continuing Education.

The Gina Cody School of Engineering and Computer Science (GCS) is ranked among the top ten engineering and computer science schools in Canada. The school is home to over 10,000 engineering and computer science students and a faculty complement of 235 faculty members. The Gina Cody School of Engineering and Computer Science has about 4,500 graduate students enrolled in 35 graduate programs. The research profile of the school continues to grow as it fosters multidisciplinary approaches to finding solutions to a broad range of societal challenges. Several faculty members of the GCS are actively involved in artificial intelligence, operations research and industrial engineering. The school attracts a high quality and a diverse student population in all its programs. For more information about the Gina Cody School and its departments, please visit: https://www.concordia.ca/ginacody

John Molson School of Business (JMSB) is one of the leading Business Schools in Canada. This AACSB (Association to Advance Collegiate Schools of Business) accredited faculty hosts five departments offering various business-related programs both at the Undergraduate and Graduate levels. Apart from the traditional business disciplines (Finance, Accounting, etc.) it also hosts the Department of Supply Chain & business Technology Management, where the three disciplines of Supply Chain Management, Data Analytics, and Information technology management co-exist in an integrative fashion. With the balance of experienced faculty members, enthusiastic younger colleagues and eager to learn graduate students, the JMSB is looking to advance its research potential, in particular towards AI applications in supply chain management, and in business in general. For more information about JMSB, please visit: https://www.concordia.ca/jmsb.html

The Faculty of Arts and Science (FAS) hosts over 18,000 students and 851 faculty members across its 20 departments. The faculty is a fertile ground for multidisciplinary research. The Mathematics and Statistics Department within the FAS is home to researchers with broad quantitative expertise ranging over from machine learning, statistics, optimization, applied mathematics (e.g. health science, actuarial science and financial mathematics) and fundamental areas in mathematics. The department is experiencing steady growth; joining such a department is a prime opportunity to work with a dynamic community and participate to the integration of modern developments in the area of machine learning. For more information about the Mathematics and Statistics Department, please visit: https://www.concordia.ca/artsci/math-stats.html

Today’s challenges require new, collaborative, interdisciplinary thinking and action. We are designing a next-generation university that draws on the skills of our faculty and on the strengths of our external academic, private and public sector partnerships to prepare our students and society for what comes next. Our priority is to mobilize cross-sections of experts to translate novel scholarship into real-world applications.

Ambitious, innovative, research- and community-engaged, our university is celebrated for its commitments to transformative learning, convergent thinking and public impact. Concordia supports teaching, learning and research by its commitment to sustaining excellence, inclusion and opportunity for the entire academic community.

In 2019, Concordia was recognized as a top Montreal employer for the fourth year running. We made the list based on a number of criteria, including pension and benefits, training and development opportunities and the physical and social aspects of the workplace.

About Montreal

Montréal is a world class hub for machine learning, artificial intelligence, and supply chain innovation. The highly collaborative environment including four major universities (Concordia, McGill, Université de Montréal, Université du Québec à Montréal), affiliated schools (ETS, HEC Montréal, Polytechnique Montréal), machine learning research institutes (e.g., IVADO, MILA), transportation and logistics research centres (e.g., CIRRELT), decision science centres (GERAD), and numerous companies and startups relying on artificial intelligence developments, foster the perfect ecosystem for both academic and industrial innovation in AI for supply chain.

Montréal is exceptional. It is a truly unique city – vibrant and diverse, allowing for safe and affordable downtown living, with new things to discover around every corner. With a diverse population of 1.7 million, it has been named the best student city in the world. The city is home to over 170,000 university students, a thriving multicultural scene and the most affordable tuition in Canada.

Bilingualism is a part of Montréal’s tradition and adds to its inspiring atmosphere. While supporting a significant Anglophone population, it is the second largest French-speaking city in the world.

Montréal is famed for its innovative culinary scene and festivals that run throughout the year. As North America’s number one choice for international events and festivals, it was also the first metropolis to be designated a UNESCO City of Design by the Global Alliance for Cultural Diversity.

The city is recognized globally as an important centre for commerce, aerospace, transport, finance, pharmaceuticals, technology, design, gaming, film and world affairs.

Qualifications

Applicants must hold a PhD in Computer Science, Engineering, Management Science, Mathematics, Statistics, Production and Operations Management, or a closely related field. The successful candidate shall be internationally recognized as a leader in the fields of artificial intelligence, machine learning, supply chain analytics and operations research. She/he shall have an excellent track record in leading major research initiatives, attracting strong external funding, publishing in the highest impact and prestigious venues, supervising graduate students and postdoctoral fellows, and committed to excellence in teaching at the undergraduate and graduate levels. Moreover, the applicant must demonstrate an original and innovative research program of the highest quality, and evidence of developing and maintaining research collaborations. The language of instruction at Concordia is English; however, knowledge of French is an asset.

The successful candidate will be offered a position in one of the three aforementioned schools/faculties according to his/her education/research background. Membership or eligibility for membership in a Canadian professional engineering association, preferably in the province of Quebec, is desirable for a successful candidate wishing to join an engineering department.

How to Apply

Applications must include a cover letter clearly identifying the title and position code (20_C_SCALE_O), a detailed curriculum vitae, teaching and research statements, and the names and contact information of at least four referees. Electronic applications should be submitted by August 15, 2020 but will continue to be reviewed until the position is filled. Only short-listed candidates will be notified. The appointment may commence as early as September 2020.

Concordia strives to be an inclusive institution that is welcoming of diverse backgrounds and experiences in order to improve learning, advance research, inspire creativity, and drive productivity. We define diversity broadly to include both ethnic and socio-cultural background and diversity of perspectives, ideologies and traditions.

As part of this commitment to providing our students with the dynamic, innovative, and inclusive educational environment of a Next-Generation University, we require all applicants to articulate in their cover letter how their professional experiences and expertise have prepared them to conduct innovative research and to teach in ways that are relevant for a diverse, multicultural contemporary Canadian society.

These ongoing or anticipated examples can include but are not limited to:

  • Teaching about underrepresented populations;
  • Mentoring students from underrepresented backgrounds;
  • Conducting research with underrepresented and/or underserved communities;
  • Committee work;
  • Offering or organizing educational programming;
  • Participation in training and workshops

All applicants will receive an email invitation to complete a short equity survey. Participation in the survey is voluntary and no identifying information about candidates will be shared with hiring committees. Candidates who wish to self-identify as a member of an underrepresented group to the hiring committee may do so in their cover letter or by writing directly to the contact person indicated in this posting.

Concordia University recognizes the potential impact that career interruptions can have on a candidate’s record of research excellence and will take them into careful consideration in assessing applications and throughout the selection process.

Candidates with access needs, and those who anticipate requiring some flexibility in the recruitment process to ensure their full participation, are invited to contact Téo L. Blackburn, Manager, Academic Leadership and Inclusion, in full confidence at manager.ali@concordia.ca or by phone at 514.848.2424 ext. 7704.

Kindly forward your electronic application to:

Dr. Ferhat Khendek
Gina Cody School of Engineering and Computer Science
Concordia University, Montreal, QC, Canada
Email: ferhat.khendek@concordia.ca


  • Concordia University is strongly committed to employment equity within its community, and to recruiting a diverse faculty and staff. The University encourages applications from all qualified individuals, including women, members of visible minorities, Indigenous persons, members of sexual minorities, persons with disabilities, and others who may contribute to diversification; candidates are invited to self-identify in their applications.
    All qualified candidates are encouraged to apply, however, Canadian and permanent residents will be given priority. To comply with the Government of Canada’s reporting requirements, the University is obliged to gather information about the status of applicants as either permanent residents of Canada or Canadian citizens. While applicants need not identify their country of origin or current citizenship, all applications must include one of the following statements:
    Yes, I am a citizen or permanent resident of Canada
    or
    No, I am not a citizen or permanent resident of Canada.


 
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