At a Glance
- Tasks: Design original computational physics problems and create Python solutions.
- Company: Mindrift connects specialists with exciting AI project opportunities.
- Benefits: Earn up to $35 per hour, flexible hours, and work on innovative projects.
- Other info: Flexible project-based work with potential for diverse experiences.
- Why this job: Make a real impact in AI by solving complex physics challenges.
- Qualifications: Degree in Physics or related field, Python proficiency, and creative problem-solving skills.
The predicted salary is between 28000 - 42000 £ per year.
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What This Opportunity Involves
- Design original computational physics problems that simulate real physics research workflows;
- Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
- Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Base problems on real research challenges or practical applications from physics practice;
- Verify solutions using Python with standard physics simulation libraries;
- Document problem statements clearly and provide verified correct answers.
What We Look For
- Degree in Physics (Theoretical, Experimental, or Computational) or related fields;
- Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
- 2+ years of professional experience: applied, research, or teaching experience is applicable;
- Experience with numerical simulation methods;
- Ability to design problems that mirror real physics research workflows;
- Creative thinking in problem design across diverse physics areas;
- Familiarity with physics modeling and approximation techniques;
- Strong written English (C1+).
How It Works
- Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid.
Project Time Expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels based on their requirements.
Physics AI Problem Designer - Python/Numerical Simulations in Manchester employer: Mindrift
Mindrift is an exceptional employer for those seeking flexible, project-based opportunities in the cutting-edge field of AI and computational physics. With a focus on innovation and creativity, employees can engage in meaningful work that directly impacts leading tech companies while enjoying the freedom to manage their own schedules. The collaborative work culture fosters professional growth, allowing specialists to enhance their skills and tackle real-world challenges in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Physics AI Problem Designer - Python/Numerical Simulations in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, join relevant forums, and connect with others on LinkedIn. You never know who might have the inside scoop on a project-based opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving numerical simulations. This will give potential clients a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Stay active in the community! Participate in discussions, attend webinars, or even contribute to open-source projects. This not only builds your reputation but also keeps you updated on the latest trends in AI and physics.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting project-based opportunities waiting for you. Make sure to tailor your application to highlight your experience in computational physics and Python programming.
We think you need these skills to ace Physics AI Problem Designer - Python/Numerical Simulations in Manchester
Some tips for your application 🫡
Craft a Stellar CV:Make sure your CV is up-to-date and highlights your relevant experience in physics and Python. Tailor it to showcase your skills in numerical simulations and problem design, as this is what we’re really looking for!
Show Off Your English Skills:Since strong written English is a must, don’t forget to indicate your level of proficiency clearly. We want to see that you can communicate complex ideas effectively, so make sure your application reflects that.
Be Creative with Problem Design:When applying, think about how you can demonstrate your creative thinking in designing computational physics problems. Share examples or ideas that mirror real research workflows to impress us!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role without any hassle!
How to prepare for a job interview at Mindrift
✨Know Your Physics
Brush up on your physics fundamentals, especially in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Be ready to discuss how you can design problems that reflect real research workflows, as this will show your understanding of the subject matter.
✨Show Off Your Python Skills
Prepare to demonstrate your Python proficiency, particularly with libraries like Numpy, SciPy, and Sympy. You might be asked to solve a problem on the spot, so practice coding solutions to computational physics problems beforehand.
✨Think Creatively
Be ready to showcase your creative thinking in problem design. Think about unique ways to approach physics challenges and how you can make them computationally intensive. This will highlight your ability to innovate in your field.
✨Communicate Clearly
Since strong written English is a must, practice articulating your thoughts clearly and concisely. Prepare to document problem statements and solutions effectively, as clear communication is key in this role.
