Postdoctoral Researcher
2 weeks ago
**Job Function**:
Career Programs
**Job Sub Function**:
Post Doc - Data Analytics & Computational Sciences
**Job Category**:
Career Program
**All Job Posting Locations**:
Toronto, Ontario, Canada
**Description**:
The Data Science Analytics & Insights team is actively searching for a highly motivated
and visionary postdoctoral researcher, with a primary research focus on innovative
Artificial Intelligence/Machine Learning (AI/ML) algorithms to extract valuable insights
from structured and unstructured multimodal data sources. We are particularly
**Key responsibilities**:
- Conceive, develop, and validate AI/ML solutions for high-priority scientific
research projects.
- Extract, analyse and interpret multimodal data (including speech and/or text) from various sources.
- Participate in cross-functional collaborations with internal stakeholders and
external partners.
- Clearly communicate the state-of-the-art methods and results to diverse audiences
and partners to support decision-making.
- Publish findings in top-tier journals and conferences.
**Required qualifications**:
- A Ph.D. degree in AI/ML or a related field (e.g., computational linguistics,
computational biology, computational neuroscience, computer science, data
science, applied mathematics, statistics, electrical engineering, signal
processing) obtained within the last 2 years or to be completed within the next 3
months.
publications in peer-reviewed journals and conferences.
- Experience with standard analytical techniques (e.g., logistic regression, support
vector machines, random forest, boosting, ensemble methods) and advanced AI
methodologies (e.g., convolutional neural networks, recurrent neural networks,
attention models, transformers).
- Experience with acoustic speech analysis techniques and models (e.g., openSMILE, librosa, Whisper, HuBERT, WavLM, wav2vec).
- Experience with basic and advanced NLP techniques (e.g., word2vec, wav2vec,
- A good understanding of various speech features (acoustic and linguistic) and their corresponding constructs that they capture (e.g., speech timing).
- Knowledge of statistical methods.
- Proficiency in one or more programming languages (e.g., Python).
- Experience with software development tools (e.g., Git).
- Analytical mindset and critical thinking.
- Ability to continuously learn and acquire new knowledge and skills.
- Ability to optimally communicate technical work to a wide and diverse audience,
both in oral and written forms.
- Ability to work both independently and in a diverse, multidisciplinary team.
- Passionate about leveraging data to drive scientific innovation.
**Preferred (“nice-to-have”) qualifications**:
- Experience in analysing speech and actigraphy data.
- Experience in analysing biomedical data.
- Background in biology or a related field (e.g., neuroscience).
- Expertise in one or more disease areas (e.g., mental health).
- Familiarity with the processes of drug discovery, safety and development.
- Experience in analysing speech recorded during conversations (e.g., recorded during interview).
-
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