Staff Scientist

5 days ago

Toronto, Canada University of Toronto Full time

**Date Posted**:05/24/2024
**Req ID**: 37416
**Faculty/Division**: Faculty of Arts & Science
**Department**: Acceleration Consortium
**Campus**: St. George (Downtown Toronto)

**Description**:
The Acceleration Consortium (AC) promotes an inclusive research environment and supports the EDI priorities of the unit.

**_

The Acceleration Consortium received a $200M Canadian First Research Excellence Grant for seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the Acceleration Consortium with seven years of funding to execute its vision.

The AC is developing seven advanced SDLs plus an AI and Automation lab:

- SDL1 - Inorganic solid-state compounds for advanced materials and energy
- SDL2 - Organic small molecules for sustainability and health
- SDL5 - Formulations for pharmaceuticals, consumer products, and coatings
- SDL6 - Biocompatibility with organoids / organ-on-a-chip
- SDL7 - Synthetic scale-up of materials and molecules (University of British Colombia partner lab)
- A central AI and Automation lab to support all the SDLs

**This posted position is for a Staff Scientist within the AI and Automation Lab.**

**Expertise in one or more of the following areas is desired**:

- Generative modelling
- Active learning, exploration, optimal experiment design, Bayesian optimization
- Reinforcement and imitation learning
- Safe exploration and learning
- Representation learning
- Learning to search, learning planning heuristics
- Continual learning, transfer learning (sim-to-real, real-to-sim), meta-learning
- Domain adaptation
- Uncertainty quantification, reasoning under uncertainty, POMDPs
- Neurosymbolic reasoning
- Simulation-based inference
- Multimodal foundation models

Staff Scientists will work with a diverse team of leading experts at U of T, including: Professors Anatole von Lilienfeld, Florian Shkurti, Animesh Garg, Alán Aspuru-Guzik, Oleksandr Voznyy, and more.

The Staff Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable self-driving labs, manage these SDLs, and design and implement research programs (based on the direction of the AC’s scientific leadership team) that leverage the SDL platforms to discover materials and molecules. Moreover, the Staff Scientists will work collectively, sharing knowledge among each other, faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium.

**The components and duties of the work can include**:

- **
SDL and Automation Development**

Working with the AC community, including faculty and partners, to determine the required capabilities of the SDLs to be built. Developing SDL plans to meet user requirements and designing novel instruments for automated material synthesis and characterization. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs.
- **
Research Direction**

**Tasks include**:
- Managing the research and development projects of AC’s industry partners when implemented in AC labs.
- Developing plans supporting research collaborations and estimating financial resources required for programs and/or projects.
- Working with Product Managers to ensure research outcomes meet partner requirements.
- Promoting AC’s research capacity, including delivering presentations at conferences.
- Collaboration in preparing and submitting research proposals to granting agencies and progress reporting.
- Preparing manuscripts for submission to peer review publications/journals and stewarding them through the process.
- **
Other**
- Support research-focused events such as Annual Symposium

**MINIMUM QUALIFICATIONS**:
**Education** - Ph.D. in chemistry, materials science, life sciences, physics, engineering, robotics, computer science, or related discipline

**Experience**
- Five (5) to 10 years of experience (inclusive of PhD and/or post-graduate work) in accelerated research and development in the area of organic synthesis, organometallic catalysis, and computational
- Experience working closely with a Principal Investigator or as a Principal Investigator or as Project Director with responsibilities of managing, developing and executing a major research project in the area of AI and automation, including hardware integration for automation, high throughput experimentation for dataset generation, AI utilization in experimental planning, and workflow establishment for seamless integration of experiments and simulations.
- Strong experience and expert knowledge of AI and automation
- Experience with overseeing the activities of a lab.
- Experience working with industry partners and on industry led research and development projects.
- Strong experience presenting research at academic con

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