Jobs

Posted on: March 31, 2021
Deadline: April 25, 2021
Start date: May 15, 2022
End date: May 14, 2024 (renewable)
Hours of work: 40 hours per week (full time), with flexible schedule
Department: CERC / Building, Civil and Environmental Engineering
Location of work: 2155 Guy St., Montreal, QC H3H 2L9

Scope

The Canada Excellence Research Chair in Smart, Sustainable, and Resilient Communities and Cities is seeking an outstanding and motivated Junior Software Developer to help with the implementation of the Insel4Cities platform. Reporting to Dr. Ursula Eicker (CERC) and functionally to Guillermo Morote (Senior Software Engineer), the incumbent will play a key role in the CERC's urban platform development, by contributing to the development of a simulation software and a city digital twin.

Responsibilities

• Software development for a city digital twin.
• Platform API development.
• Writing and maintaining unit tests.
• Backend infrastructure.
• Bug fixing and documenting.
• IT support.

Requirements

• Undergraduate degree in a pertinent field and +1 year related work experience.
• Good spoken and written English (Level 4) to communicate effectively with the team.
• Data management (SQL).
• Python, C++, C#, PHP, Java and JavaScript knowledge is a plus.
• High motivation and teamwork mindset.
• Good interpersonal and communication skills.

Salary

$63,000 per annum ($30.29 per hour – 40 hours per week)

Union/Association

CARE

Interested applicants must submit a curriculum vitae with a cover letter and portfolio to cerc@concordia.ca

IMPORTANT: The language and programming skills of short-listed candidates will be tested.

Concordia University is committed to Employment Equity and encourages applications from women, Aboriginal Peoples, visible minorities, ethnic minorities, and persons with disabilities.

Research program title
Explainable AI approaches for smart buildings applications

Reference number
9001

Supervisors
Nizar Bouguila and Ursula Eicker

Program description
Recently, the progress in Internet of Things platforms has allowed the collection of large amounts of sensing data. Using this large-scale sensing data in real-world applications is a challenging problem. Motivated by applications related to smart buildings, the goal of this research program is to develop explainable AI techniques for challenging tasks using sensor data. Examples of tasks include but not limited to: estimating and predicting the approximate number of people in a smart building, recognizing the occupants’ activities, predicting future activity occurrence time, energy consumption forecasting, etc.

Academic qualifications required
PhD in Computer Science, Electrical Engineering, Buildings or related fields with experience in machine learning, data mining.

Eligibility requirements

• Applicants must not currently hold a postdoctoral appointment at Concordia
• Priority will be given to postdoctoral fellows who have obtained their PhD from another university although in exceptional cases Concordia graduates may be considered
  Applicants must adhere to the postdoctoral fellow eligibility criteria outlined in
• Concordia University’s Postdoctoral Policy.

Timeline
The Postdoctoral Fellow must start their appointment by May 1, 2022.

Submission process

• All documents must be submitted to Niyusha Samadi at Horizon.Postdocs@concordia.ca
• Please include the reference number with your application

Application checklist

• One to three (1-3) page research statement demonstrating fit with the program described above
• Current curriculum vitae demonstrating research excellence and a capacity for leadership in the domain (maximum 5 pages)
• Two letters of reference from academic supervisors or current employers to be sent via e-mail directly to Niyusha Samadi

Value
The prestigious two-year Horizon Postdoctoral Fellowships are valued at $50,000 per year plus benefits and full access to Concordia’s services, including GradProSkills.

We are looking for students (undergraduate or graduate) with strong software engineering, computer science or system engineering skills for a range of topics:

• data and simulation result visualization for urban platform
• IoT and urban sensor data communication and analysis
• coding support for urban modeling and data analytics platform