About this role
This position involves designing complex computational problems that assess the capabilities of advanced AI systems in scientific and engineering contexts. The focus is on creating original, graduate-level challenges that are grounded in real scientific workflows, calibrating these problems against cutting-edge AI models, and refining them to achieve the appropriate level of difficulty.
Key Responsibilities- Design computational problems that require advanced use of domain-specific scientific software libraries.
- Create tasks that involve computing precise outputs from fully specified setups, testing solvers on complex multi-step scientific workflows.
- Develop problems that necessitate strategic reasoning to uncover hidden information through designing sequences of queries or experiments.
- Engage in a calibration loop for each task, testing against state-of-the-art AI models and refining the problem design to meet target difficulty levels.
We are looking for experts with hands-on experience in the following areas:
- Bioinformatics & Single-Cell Genomics: Experience with tools like scanpy, scvelo, squidpy, and gudhi for RNA-seq analysis, trajectory inference, and spatial transcriptomics.
- Computational Chemistry & Electronic Structure: Proficiency with PySCF for quantum chemistry calculations, including Hartree-Fock and DFT methods.
- Particle & Nuclear Physics: Familiarity with scikit-hep and related tools for particle physics data analysis and Monte Carlo event generation.
- Electrical Engineering & RF/Circuit Design: Knowledge of scikit-rf for RF network analysis and ngspice for circuit simulation.
- Astrophysics & Cosmology: Experience with astropy for cosmological calculations and galaxy survey analysis.
- Structural & Mechanical Engineering: Proficiency with scikit-fem for finite element analysis and computational mechanics.
- Seismology & Geophysics: Experience with ObsPy or SPECFEM for seismic waveform analysis and tomography.
- Pharmacokinetics & Systems Biology: Familiarity with libRoadRunner, Tellurium, or SBML-based tools for compartmental PK/PD.
This is a remote, hourly position.
CompensationThe hourly rate ranges from $45 to $100, based on experience and expertise.
EligibilityApplicants should have relevant experience in the specified domains and be able to demonstrate their expertise in designing computational problems related to scientific workflows.