Associate Professor in Quantum Applications-pasqal
6 months ago
**Associate Professor in Quantum Applications-PASQAL & University of Sherbrooke: Sherbrooke, QC Canada.**
**ONSITE ONLY at the University of Sherbrooke Main Campus, Full time**
PASQAL has partnerships with key users in such fields as energy, IT, finance, drug and chemical design, and automotive. The maturity and potential of our technology and the quality of our scientific team has been rewarded several times at French, European and global levels.
This role will play an important part in teaching and research supervision of students in relevant undergraduate and graduate programs. To be successful in this role, you will have plans to develop high-quality supervision or mentorship with a focus on preparing students for their desired future career. You will also be prepared to teach courses in your home department and/or related programs commensurate with your expertise and current teaching needs of the University of Sherbrooke.
**Other Responsibilities**:
- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
**REQUIREMENTS**
- Applicants must hold a PhD in a discipline relevant to proposed field of study and have hands on experience in complex, quantum algorithms
- or
- must have a combination of relevant equivalent education and at least three years of relevant industry experience in quantum algorithms.
- Applicants must have a strong record of impactful research in their field of expertise and demonstrate an ability to teach at the university level.
- A background in quantum computing for optimization and machine learning is preferred.
- Good knowledge of QUANTUM computing algorithms and machine learning (QML)
- Proven experience as a Machine Learning Engineer or similar role in an academic setting preferred
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code in Python, Java or R
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Excellent communication skills written and verbal (English and French)
- Ability to work in a team
- Outstanding analytical and problem-solving skills
- **Transcripts**:
- **Copy of most recent diploma**
**Right to work in Canada without sponsorship preferred.**
**No 3rd party recruiters please.
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