Undergraduate research scholarships

Introduction

Description

FAQ

Application

Results - 2018 Contest

Program description

  • Program name: IVADO funding program for undergraduate research internship
  • Program type: Scholarship
  • Strategic / priority domain: Data science, data-driven innovation.

First 2018 Calendar Contest

Starting in 2018, the calendar will be as follows:

  • Announcement: mid-January.
  • Application deadline: February 19.
  • Expected application notification date: March 19.

New deadlines for the 2018 second summer contest:

  • Announcement: April 2018
  • Application deadline: April 30.
  • Expected application notification date: May 7.

Program goals

This program for undergraduates aims at:

  • Offering them the opportunity to learn about research.
  • Encouraging them to pursue graduate studies.
  • Allowing them to become familiar with the methods and domains promoted by IVADO.

Domains

This program supports internships concerning the issues described in the Apogée/CFREF grant (http://www.cfref-apogee.gc.ca/results-resultats/abstracts-resumes/competition_2/universite_de_montreal-eng.aspx ): data science in the broadest sense, including methodological research in data science (machine learning, operation research, statistics) and their applications in various fields (including health, transportation, logistics, resources and energy, information and trade).

Conditions of the internship

The internship must be conducted at full time, for a period of 6 to 16 weeks, normally between the winter and the fall session, according a schedule agreed beforehand between the student and the supervisor. The student and the supervisor will define together the different elements and objectives of the internship.

Each year, up to 50 scholarships are available, each of them worth up to $5,000. The amount awarded to the student will be in proportion to the duration of the internship (16 weeks to 100%. Because of the special calendar of the first competition, a period of 12 weeks will qualify for a 100% funding in 2017) . The supervisor is allowed to improve on the scholarship, but the student may not hold a similar scholarship for the same period. The funds will be transferred to the Office of Research of the university of the supervisor, and the university will pay the student according to its own rules.

The scholarship must be used within 6 month of award (exceptional circumstances that could lead to delays must be raised to the attention of IVADO as quickly as possible if the student still wants to hold his scholarship).

At the end of the internship, the student must provide IVADO with a brief report on his/her activities. This report could be made public to illustrate the activities funded by IVADO. The supervisor will also provide IVADO with a brief report on the activities of his or her students.

Being eligible and holding the award

The student:

  • Must be enrolled in an undergraduate program at HEC Montréal, Polytechnique Montréal or Université de Montréal. Students may also be enrolled in the University of Alberta or McGill University.
  • Must have a minimum average grade of B + (or equivalent).
  • Must have completed at least 24 credits.

The supervisor:

  • Must be a faculty member either
    • at HEC Montréal, Polytechnique Montréal or Université de Montréal, or
    • at the University of Alberta or McGill University and a member of one of IVADO’s research groups (MILA, CIRRELT, GERAD, CERC Science des données, CRM, Tech3Lab).
  • Commits to properly supervise his or her students.
  • Ensures that his or her students will have access to resources to do their internship (access to premises, computers, data …).
  • Can not present more than three applications for interns for the same year.

Application process and elements

Instruction for submitting an application are available under the “Application” tab.

Elements of the application:

  • Name, contact information and curriculum of the student
  • Student’s c.v. (2 pages max.)
  • Name, contact information and affiliation of the supervisor.
  • Scientific and technological description of the proposed internship objectives, methodology and anticipated results, highlighting the added value for the student (1 page max.)
  • Scheduled dates and location of the internship.
  • Grade transcript of previous sessions.

Evaluation process

Proposals will go through an administrative screening to check for program requirements  (incomplete, too long …). Only applications meeting the requirements will be forwarded to the evaluation committee.

The evaluation committee will be composed of two professors (both familiar with the areas of research and not presenting applications this year) and, as observer, IVADO’s director of scientific programs. Depending of the number of applications, the committee could enlist the help of other researchers (professors or postdoctoral fellows).

The evaluation committee will first validate the scientific correspondence of the internship project with areas fostered by IVADO.  All applications that are fitting will be sorted according to, on equal parts, the student and the proposed internship:

  1. Student evaluation  will be based primarily on his grades, and academic and professional development, including the factors that promote diversity in the IVADO community.
  2. Quality evaluation of the proposed training will be based primarily on the quality of the research project in which the student will engage, but also on opportunities for training and introduction to research, susceptibility to encourage the applicant to continue in graduate studies and consistency between the internship project and the candidate’s profile.

Scholarships will be awarded following the ranking established.

General remarks

Contacts

  • Any questions concerning the funding program can be addressed to:  programmes-excellence@ivado.ca.
  • Please also consult the FAQ section in this page.

FAQ

  • What is the equivalent of a B +?
    • HEC Montreal: 3.3 / 4.3
    • Polytechnique Montreal: 3.0 / 4
    • University of Montreal: 3.3 / 4.3
  • How long should the internship be?
    • This year (2017) the internship should be between 6 and 12 weeks. The scholarship will be 5000$ for 12 weeks, adjusted proportionally for shorter periods.
  • What happens if my submission file does not meet the required length?
    • Your submission will be automatically disqualified.
  • What date should I have an answer about the scholarship?
    • You will have a response by May 7 (see “Program description” tab for details)
  • I am not registered for the summer session, but I am still an undergraduate student. Can I get an IVADO scholarship?
    • Yes. It is not mandatory to be registered in the session in which the internship takes place.
  • Can my internship be credited?
    • Yes, insofar as the activity credited is in line with the spirit of the IVADO program, especially the initiation to research aspect.
  • Can I be enrolled in a course and an internship with IVADO during the same period?
    • Yes, as long as the internship supervisor accepts it, and that there is a clear agreement on working hours. The number of internship hours per week, however, must add up to full time.
  • I am a student with a student visa. Can I get an IVADO scholarship?
    • Yes, as long as your CAQ and study permit remains valid for the duration of the internship. For more information about the need to be enrolled in the Bachelor program, please contact your university.
  • I just finished my program in the winter, can I get an IVADO scholarship?
    • Depending on the institution where you will do your internship, it can be accepted. Please contact your university.
  • Can the IVADO scholarship be combined with the NSERC one (USRA)?
    • No.

Other questions? Please submit them to programmes-excellence@ivado.ca

The elements of the application are:

  • this form filled;
  • the student’s CV (2 pages max.);
  • the internship description (scientific and technological description of the proposed internship objectives, methodology and anticipated results, highlighting the added value for the student – 1 page max.);
  • the grade transcript.

The application must be sent to programmes-excellence@ivado.ca, CCed to the supervisor as a single pdf file.

  • Samuel Aguilar Lussier (Université de Montréal, Éric Lécuyer)
    • Développement d’approches en apprentissage par machine pour prédire la distribution intracellulaies des acides ribonucléiques (ARNs)
  • Maxine Arcand-Lavigne (Université de Montréal, Karim Jerbi)
    • Data-mining sleep brain signals using machine-learning: effect of caffeine (EEG)
  • Viviane Aubin (Polytechnique Montréal, Miguel Anjos)
    • Optimisation de ressources hydroélectriques pour l’intégration des énergies renouvelables
  • Éliot Bankolé (HEC Montréal, Olivier Bahn)
    • Modèle d’évaluation intégrée « BaHaMa » : développement d’une version multirégionale
  • Gabriel Bisson-Grégoire (Polytechnique de Montréal, Samuel Kadoury)
    • Classification de tumeurs du foie à l’aide d’un réseau neuronal convolutif
  • Marise Bonenfant-Couture (Polytechnique Montréal & Université de Montréal, Michel Gagnon & Lyne Da Sylva)
    • Outil d’analyse méthodologique et contextuelle d’articles scientifiques en santé mentale
  • Anas Bouziane (Polytechnique Montréal, Yann-Gaël Guéhéneuc)
    • Reclassification des systemes de journalisation : une approche par apprentissage machine
  • Olivier Caron-Grenier (Université de Montréal, Numa Dancause)
    • Adaptive cortical neuroprosthesis for neuromuscular control
  • Guillaume Caza-Levert (Université de Montréal, Jocelyn Dubuc)
    • Données automatisées d’alimentation pour prédire les maladies des veaux laitiers
  • Karl Chemali (Université de Montréal, Carole Fortin)
    • Évaluation des mouvements du tronc chez des adolescents avec et sans scoliose idiopathique
  • Léo Choinière (Université de Montréal, Julie Hussin)
    • Studying fine-scale population structure using neural networks
  • Florian Coustures (HEC Montreal, Marc Fredette)
    • Optimisation de la calibration de mesures neurophysiologiques
  • Mathieu David-Babin (Université de Montréal, Nicolas Vermeys)
    • Recherche de modèle prédictif de décisions en justice
  • Éric De Celles (McGill University, Marc Fredette)
    • Évaluation de la perte d’information engendrée par l’inspection visuelle ou automatisée des données EEG
  • Thomas Derennes (Université de Montréal, An Tang)
    • Predictive model of colorectal cancer liver metastases response to chemotherapy
  • Andre Diler (Polytechnique Montréal, Samuel Kadoury)
    • Learning normalized inputs for iterative estimation on medical image segmentation
  • Paloma Fernandez-Mc Auley (Université de Montréal, Christine Tappolet)
    • Éthique et science cognitive de l’attention manipulée par l’IA
  • Jorge Luis Flores (Université de Montréal, François Major)
    • Discoverning the RNA structural determinants of the RNA-binding proteins
  • François Gauthier (Université de Montréal, Marc Lavoie)
    • Topographie cérébrale du rythme thêta dans la régulation émotionnelle: Étude pilote chez une population atteinte de schizophrénie
  • Roxanne Giorgi (HEC Montréal, Marc Fredette)
    • Modélisation de la périodicité d’un signal brut provenant de données EEG
  • Éric Girard (Université de Montréal, Daniel Sinnett)
    • Application de méthodes d’apprentissage machine pour l’amélioration des traitements contre les cancers pédiatriques
  • Simon Guichandut (Université de Montréal, Marina Martinez)
    • Cortical control of motor recovery: a dynamical systems perspective
  • Aurélie Guilbault (Université de Montréal, Pascale Legault)
    • Interactions ARN-protéines dans la maturation des microARN
  • Simonne Harvey-Lavoie (Université de Montréal, Annie-Claude Labbé)
    • Lymphogranulomatose vénérienne : facteurs de risque et présentation clinique
  • Yikun Jiang (McGill University, Nathan Yang)
    • Machine Learning to Nudge Health Behaviours
  • Philippe Kavalec (Polytechnique Montréal, Brunilde Sansò)
    • Mobilité et performance des communications des villes intelligentes
  • Florence Landry Hould (Université de Montréal, Philippe Jouvet)
    • Validation de l’automatisation du score automatisé de défaillance multiviscérale Pediatric Logistic Organ Dysfunction-2 (aPELOD-2)
  • Jean Laprés-Chartrand (Université de Montréal, Fabian Bastin)
    • Extensions de l’algorithme du gradient stochastique pour l’estimation de modèles mixed logit
  • Francis Leblanc (Université de Montréal, Guillaume Lettre)
    • Accessing chromatin interactions by high-resolution analyses of correlated regulatory element variation
  • Anthony Lemieux (Université de Montréal, Anthony McGraw)
    • Approches computationnelles pour investiguer les dérèglements épigénétiques héritables
  • Léa Lingaya (Université de Montréal, Louis Doray)
    • The occurrence of cyber risk incidents
  • Elizabeth Maurice-Elder (Université de Montréal, Serge McGraw)
    • Rétablissement de dérèglements épigénétiques héritables dans les Cellules Embryonnaires par Édition de l’Épigénome
  • Juliette Milner (Université de Montréal, Marina Martinez)
    • Optimisation multivariée d’une neuroprothèse corticale pour le contrôle moteur
  • Man Qing Liang (Université de Montréal, Aude Motulsky)
    • Développement d’un outil d’analyse syntaxique pour structurer des données liées aux prescriptions électroniques
  • Adam Sigal (Université de Montréal, Liam Paull)
    • Duckietown AI Driving Olympics
  • Justin Pelletier (Université de Montréal, Julie Hussin)
    • Caractérisation de la famille des pharmacogènes CYP4F
  • Charles Piette (Polytechnique Montréal, Brunilde Sansò)
    • Projet en IoT et Villes
  • Marc Revol (Université de Montréal, Emma Frejinger)
    • Optimisation de l’utilisation de la flotte de locomotives du CN
  • Alex Richard-St-Hilaire (Université de Montréal, Julie Hussin)
    • Détection de mutation de novo dans les gènes du Cytochrome p450