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Assistant Professor, Data Science Computation

@ Mobility

Toronto, Ontario

Temps plein
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The University of Toronto's Department of Statistical Sciences is hiring a full-time, tenure-stream Assistant Professor in Data Science Computation, starting July 1, 2027, at 700 University Avenue, Toronto. The role centres on research in computational methods for data science and on teaching. Candidates need a PhD in a related discipline and a record of research and teaching excellence.

Responsabilités :

  • Conduct research on computation in data science
  • Teach in the Department of Statistical Sciences
  • Develop theoretical and methodological research program
  • Mentor students and diverse groups

Résumé des exigences :

  • PhD in Statistics, Computer Science, Data Science or related field
  • Record of excellence in research and teaching
  • Publications in top-ranked journals
  • Commitment to equity, diversity and inclusion

Outils et compétences

Source et dates

Site carrière / système de candidatures · breezy

Date publiée par l’employeur
2026-10-04
Première détection par notre source
2026-10-09
Mise à jour du dossier source
2026-10-15

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauDébutant
DomaineÉducation
Heures par semaine40 (estimé)
Milieu de travailBureau, École
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
Candidatures encouragéesPersonnes racisées
FormationDoctorat (exigé)
Domaines d’étudesStatistics, Computer Science, Data Science

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

ChampValeur
Offres sur Jobsy35
Description

The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time tenure-stream position in Data Science Computation and adjacent fields, based at 700 University Avenue, Toronto, ON. The appointment will be at the rank of Assistant Professor, with an anticipated start date of July 1, 2027.

Research focus:

We seek exceptional candidates whose research advances the theoretical and methodological foundations of computation in data science, including sampling and simulation, computational inference, optimization, randomized numerical methods, and scalable algorithms for high-dimensional problems — with particular interest in statistical-computational tradeoffs, complexity, convergence, and theoretical guarantees.

Qualifications:

- PhD in Statistics, Computer Science, Data Science, or a closely related discipline (earned by the time of appointment or shortly thereafter)

- Demonstrated record of excellence in research and teaching in Data Science Computation or adjacent fields

- Evidence of research excellence: publications in top-ranked journals, research statement, conference presentations, awards, and strong referee endorsements

- Evidence of teaching excellence: teaching accomplishments, teaching dossier, and strong letters of reference

- Commitment to equity, diversity, inclusion, and collegial learning environments

- Experience working with, teaching, or mentoring diverse groups is preferred

The University of Toronto is committed to equity, diversity, and excellence, and strongly welcomes and encourages applications from Black, Indigenous, and other Racialized communities.

To apply, click Apply to submit your application through the original job posting.

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