About the job
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Mindrift fosters connections between specialists and project-based AI opportunities with leading tech firms, concentrating on the testing, evaluation, and enhancement of AI systems. Note: Participation is based on project work, not permanent employment.
Overview of the Opportunity
Each project presents unique challenges, and contributors may be involved in:
- Crafting original computational physics problems that reflect authentic physics research workflows;
- Developing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);
- Ensuring that problems are computationally demanding and cannot be resolved manually within a reasonable timeframe (days/weeks);
- Creating challenges that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Base problems on actual research hurdles or practical applications from the field of physics;
- Validating solutions using Python with established physics simulation libraries;
- Clearly documenting problem statements and providing verified correct solutions.
Desired Qualifications
This position is ideal for physicists experienced in Python who are open to part-time, temporary projects. The ideal candidates will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or related fields;
- Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or familiarity with any programming language is acceptable;
- A minimum of 2 years of professional experience, which may include applied, research, or teaching experience;
- Familiarity with numerical simulation techniques;
- The capability to design problems that replicate genuine physics research workflows;
- Creative problem-solving skills across various physics disciplines;
- An understanding of physics modeling and approximation methods;
- Strong command of written English (C1+).
Process Overview
Apply → Pass qualification criteria → Join a project → Complete tasks → Receive payment
Project Time Commitment
For this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, based on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is active.
Compensation
On this project, contributors may earn up to $45 per hour, contingent on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skills. Please be aware that other projects on the platform may offer different compensation levels based on their specific requirements.
