At a Glance
- Tasks: Design and create computational physics problems using Python for AI projects.
- Company: Mindrift connects specialists with exciting project-based AI opportunities.
- Benefits: Earn up to $35 per hour, flexible hours, and work on innovative projects.
- Other info: Part-time, project-based work with potential for diverse challenges.
- Why this job: Make a real impact in AI while applying your physics knowledge creatively.
- Qualifications: Degree in Physics and Python proficiency required; 2+ years of experience preferred.
The predicted salary is between 28000 - 36000 £ 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
- This opportunity is a good fit for optical engineers 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+).
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, 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.
Optical Engineer & AI Problem Designer (Part-Time) in Birmingham employer: Mindrift
Mindrift is an exceptional employer for those seeking flexible, project-based work in the cutting-edge field of AI and physics. With a focus on innovation and creativity, employees enjoy a collaborative work culture that encourages professional growth and the opportunity to tackle real-world challenges. The part-time nature of the role allows for a balanced lifestyle while contributing to meaningful projects with leading tech companies.
StudySmarter Expert Advice🤫
We think this is how you could land Optical Engineer & AI Problem Designer (Part-Time) in Birmingham
✨Tip Number 1
Network like a pro! Reach out to fellow optical engineers and AI enthusiasts on LinkedIn or relevant forums. Engaging with the community can lead to hidden opportunities and valuable insights.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to computational physics. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t just apply—follow up! After submitting your application through our website, drop a quick email to express your enthusiasm. A little persistence can go a long way in making you memorable.
✨Tip Number 4
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you would tackle real-world physics challenges and demonstrate your creative thinking. Practice makes perfect!
We think you need these skills to ace Optical Engineer & AI Problem Designer (Part-Time) in Birmingham
Some tips for your application 🫡
Craft a Stellar CV:Your CV is your first impression, so make it count! Highlight your relevant experience in physics and Python, and don’t forget to mention any creative problem design you've done. Tailor it to show how you fit the role perfectly.
Show Off Your English Skills:Since we need strong written English, be sure to indicate your proficiency level clearly. If you’ve got a C1+ level, flaunt it! Use clear and concise language throughout your application to demonstrate your skills.
Be Specific About Your Experience:When detailing your experience, focus on specific projects or tasks that relate to computational physics and AI. Mention any numerical simulation methods you’ve used and how they apply to real-world challenges.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s quick and easy, and you’ll be one step closer to joining us in tackling exciting AI projects!
How to prepare for a job interview at Mindrift
✨Know Your Physics
Brush up on your physics knowledge, especially in areas like mechanics, electromagnetism, and thermodynamics. Be ready to discuss how you can design computational problems that reflect real research workflows, as this will show your understanding of the role.
✨Show Off Your Python Skills
Prepare to demonstrate your Python proficiency during the interview. Have examples ready where you've used libraries like Numpy or SciPy for numerical validation. This will highlight your technical skills and ability to solve complex problems.
✨Think Creatively
Be prepared to showcase your creative thinking in problem design. Think of unique ways to approach physics challenges and be ready to discuss how you would develop problems that require non-trivial reasoning chains.
✨Communicate Clearly
Since strong written English is a must, practice articulating your thoughts clearly. You might be asked to explain your problem statements or solutions, so being concise and clear will help you stand out.
