Summary: The Hardware Accelerated Design and Integration Laboratory (HADILAB) in the Department of Electrical and Computer Engineering at McMaster University is inviting applications for two Postdoctoral Researcher positions. Funded through the New Frontiers in Research Fund – Exploration (NFRF-E), these positions focus on cutting-edge research in custom and reconfigurable computing for AI-driven hardware-accelerated molecular dynamics simulation and neurotechnology. Successful candidates will contribute to the development of FPGA-based end-to-end molecular dynamics simulation pipelines with applications in drug discovery and delivery.
Postdoctoral Researcher Positions in AI-Driven Hardware-Accelerated Molecular Dynamics & Neurotechnology – McMaster University, Canada
Summary Table
| Category | Details |
|---|---|
| Position Title | Postdoctoral Researcher |
| Number of Positions | 2 |
| Department | Electrical and Computer Engineering |
| Research Lab | Hardware Accelerated Design and Integration Laboratory (HADILAB) |
| Institution | McMaster University |
| Location | Hamilton, Ontario, Canada |
| Funding Source | New Frontiers in Research Fund – Exploration (NFRF-E) |
| Research Focus | AI-Driven Hardware Acceleration, Molecular Dynamics Simulation, Neurotechnology |
| Application Deadline | June 30, 2026 (Full Consideration Date) |
| Application Method | Email Application |
| Contact Email | ameer@mcmaster.ca |
Designation
Postdoctoral Researcher (2 Positions Available)
Research Area
The selected candidates will work in advanced interdisciplinary research areas including:
- Hardware-Accelerated Molecular Dynamics Simulation
- AI and Machine Learning Hardware
- FPGA-Based Computing Systems
- Reconfigurable Computing
- Computer Architecture
- Digital Hardware Design
- Neurotechnology
- Drug Discovery and Drug Delivery Technologies
- Brain-Computer Interfaces
- Computational Biochemistry
Location
Hardware Accelerated Design and Integration Laboratory (HADILAB)
Department of Electrical and Computer Engineering
McMaster University
Hamilton, Ontario, Canada
Eligibility / Qualification
Applicants should possess a PhD in one of the following disciplines or closely related fields:
- Computer Engineering
- Electrical Engineering
- Computer Science
- Related Engineering or Scientific Disciplines
Preferred Expertise
Candidates with experience in one or more of the following areas are highly encouraged to apply:
- Computer Architecture
- Digital Hardware Design
- FPGA and Reconfigurable Computing
- Machine Learning and AI Hardware
- Biochemistry
- Brain-Computer Interfaces (BCI)
- High-Performance Computing
- Hardware Acceleration Technologies
- Related Research Areas
Job Description
The successful postdoctoral researchers will join HADILAB and contribute to innovative research projects funded through the New Frontiers in Research Fund – Exploration (NFRF-E).
Key responsibilities include:
- Designing and developing FPGA-based hardware-accelerated molecular dynamics simulation pipelines.
- Conducting research in custom and reconfigurable computing architectures.
- Developing AI-driven acceleration solutions for scientific computing applications.
- Contributing to projects related to neurotechnology and brain-computer interface systems.
- Collaborating with interdisciplinary research teams.
- Publishing research findings in leading journals and conferences.
- Supporting the advancement of technologies for drug discovery and drug delivery applications.
How to Apply
Interested candidates should submit their application materials directly via email to:
Email: ameer@mcmaster.ca
Subject Line:
Postdoctoral Application – [Your Name]
Applications should include relevant academic and research documents as requested by the research group.
Last Date for Apply
📅 June 30, 2026
Applications will be reviewed on a rolling basis, and full consideration will be given to applications received by June 30, 2026. Early applications are strongly encouraged.
Join McMaster University’s HADILAB and contribute to pioneering research at the intersection of AI, hardware acceleration, molecular dynamics simulation, and neurotechnology.
