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- Experience level
- Entry, Junior · 0+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Internship
- Application method
- Direct apply is available
Job summary
Develop numerical methods, computational models, optimization techniques, and simulation tools for nanoscale photonic and biophotonic systems. Contribute to interdisciplinary research projects addressing complex scientific problems.
Job details
🚀 Fully Funded MSc Opportunity in Mathematics at Nipissing University Are you passionate about mathematics, computational modeling, scientific computing, or physics? Join the Nipissing University Computational Physics Lab (NUCPL) and contribute to cutting-edge research in Computational Photonics & Biophotonics under the supervision of Dr. Ali Hatef. 🔬 Research Focus Develop advanced numerical methods, computational models, optimization techniques, and simulation tools for nano-scale photonic and biophotonic systems. Research projects involve solving challenging interdisciplinary problems. 🎓 Ideal Backgrounds • Mathematics • Computer Science • Physics • Scientific Computing • Engineering Physics • Related quantitative disciplines 📈 What You'll Gain ✅ Advanced computational modeling experience ✅ Numerical methods and optimization expertise ✅ Research and scientific programming skills ✅ Opportunities for interdisciplinary collaboration ✅ Strong preparation for PhD studies and industry careers 💰 Fully Funded Position (Domestic Students) 📍 Nipissing University, North Bay, Ontario, Canada 📧 To express interest or ask questions: alih@nipissingu.ca 📲 Scan the QR code in the post for program details and application information. If you're motivated by mathematics, scientific computing, and solving complex real-world problems, we'd love to hear from you.
What you’ll do
Develop numerical methods, computational models, optimization techniques, and simulation tools for nanoscale photonic and biophotonic systems. Contribute to interdisciplinary research projects addressing complex scientific problems.
Requirements
The opportunity is intended for students with a background in mathematics, computer science, physics, scientific computing, engineering physics, or a related quantitative discipline. The posting does not specify a required degree or prior work experience.
Listed skills
- Collaboration · Preferred
- interdisciplinary collaboration · Preferred
- preparation · Preferred
- Supervision · Preferred
- Organization · Preferred
- Attention to detail · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Mathematics
- Computational Modeling
- Scientific Computing
- Numerical Methods
- Optimization
- Simulation
- Scientific Programming
- Computational Photonics
- Biophotonics
- Physics
Job areas
- Science & Research
- Education
- Technology
- Engineering
