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Freelance Research Physicist with Python Expertise - AI Training

MindriftRemote — Queensland, Australia
Remote Part-time A$35/hr - A$35/hr

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Experience Level

Experience

Qualifications

Ideal candidates will have a degree in Physics (Theoretical, Experimental, or Computational) or a related field, along with proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is beneficial. A minimum of 2 years of relevant experience in applied, research, or teaching roles is required, along with expertise in numerical simulation techniques and the ability to create problems that reflect real-world physics research workflows.

About the job

Please submit your CV in English and indicate your level of English proficiency.

At Mindrift, we specialize in connecting experts with flexible, project-based AI opportunities within top-tier tech companies, dedicated to the assessment and enhancement of AI systems. Please note that this is a project-based position and does not entail permanent employment.

Opportunity Overview:

Contributors will engage in a variety of unique tasks tailored to each project, which may include:

  • Formulating original computational physics challenges that accurately reflect genuine physics research methodologies;
  • Developing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);
  • Creating computationally demanding problems that are impractical to solve manually within a reasonable timeframe;
  • Designing problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
  • Grounding problems in real-world research challenges or practical applications in the field of physics;
  • Validating solutions using Python in conjunction with standard physics simulation libraries;
  • Documenting problem statements comprehensively and providing verified, accurate answers.

Qualifications:

This role is suited for physicists with Python experience who are open to part-time, non-permanent engagements. Ideal candidates will possess:

  • A degree in Physics (Theoretical, Experimental, or Computational) or a related field;
  • Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is also acceptable;
  • A minimum of 2 years of professional experience in applied, research, or teaching roles;
  • Expertise in numerical simulation techniques;
  • Capability to craft problems that reflect real physics research processes;
  • Innovative thinking in problem design across various areas of physics;
  • Knowledge of physics modeling and approximation techniques;
  • Strong written English proficiency (C1+).

Process:

Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.

Project Commitment:

Contributors can expect to dedicate approximately 10–20 hours per week during active project phases, contingent upon project demands. This is an estimation and not a guaranteed workload, applicable only during active phases.

Compensation:

Participants can earn up to $35 per hour, contingent on their contribution level and pace. Compensation levels vary across projects based on their specific requirements.

About Mindrift

Mindrift is a leading organization dedicated to bridging the gap between specialists and project-based AI opportunities for prominent tech companies, focusing on the evaluation and enhancement of AI systems.

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