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- Tasks: Design and solve computational physics problems using Python for innovative AI projects.
- Company: Mindrift connects specialists with leading tech companies for exciting project-based opportunities.
- Benefits: Earn up to $35 per hour, flexible hours, and work on cutting-edge AI challenges.
- Why this job: Make a real impact in the AI field while applying your physics knowledge creatively.
- Qualifications: Degree in Physics or related fields, Python proficiency, and 2+ years of experience.
- Other info: Part-time, non-permanent projects with dynamic tasks and potential for diverse experiences.
The predicted salary is between 28000 - 36000 £ per year.
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
- This opportunity is a good fit for quantum researchers with experience in Python open to part‑time, non‑permanent projects. Ideally, contributors will have:
- 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+).
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. Please note that other projects on the platform may offer different earning levels based on their requirements.
Quantum Research Scientist with Python - Freelance AI Trainer in Manchester employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantum Research Scientist with Python - Freelance AI Trainer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the physics and AI communities. Attend meetups, webinars, or online forums where you can chat with potential collaborators or employers. You never know who might have the perfect project for you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work in Python and computational physics. Include examples of problems you've designed or solved, and make sure to highlight any unique approaches you took. This will help you stand out when applying for projects.
✨Tip Number 3
Be proactive! Don’t just wait for opportunities to come to you. Regularly check our website for new projects that match your skills. Apply quickly and tailor your approach to each project to show how you can add value.
✨Tip Number 4
Follow up after applying! If you haven’t heard back within a week or two, send a friendly message to express your continued interest. It shows enthusiasm and keeps you on their radar, which can make all the difference.
We think you need these skills to ace Quantum Research Scientist with Python - Freelance AI Trainer in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python proficiency and any relevant experience in physics. We want to see how you can apply your knowledge to real-world problems, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your problem statements and solutions are easy to understand. Remember, we’re looking for strong written English!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your responses to the specific project requirements. Show us that you understand what we’re looking for and how you fit into the picture.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it’s super easy to do!
How to prepare for a job interview at Mindrift
✨Know Your Physics
Brush up on your knowledge of quantum mechanics, thermodynamics, and electromagnetism. Be ready to discuss how you can design computational problems that reflect real research workflows in these areas.
✨Show Off Your Python Skills
Prepare to demonstrate your proficiency in Python, especially with libraries like Numpy and SciPy. You might be asked to solve a problem on the spot, so practice coding solutions beforehand!
✨Think Creatively
Be prepared to showcase your creative thinking in problem design. Think about unique ways to approach physics challenges and be ready to share examples from your past work or projects.
✨Communicate Clearly
Since strong written English is a must, practice articulating your thoughts clearly. You may need to document problem statements during the interview, so clarity and precision are key!