Probabilistic ML Cofounder

Probabilistic forecasting / weather and energy markets. A startup is looking for a research-heavy cofounder, advisor, or intern profile.

The strongest fit is someone who enjoys turning rigorous probabilistic methods into models that can eventually support a real product, though the team is also open to related profiles such as research interns and scientific advisors or supervisors.

Context. Probabilistic ML, uncertainty quantification, stochastic modeling, and forecasting. The startup is early-stage and has potential links to weather, energy, and high-frequency prediction. The cofounder profile should be based in Switzerland.

Role. Research cofounder, research intern, or scientific advisor/supervisor. Advisor or intern profiles can be discussed case by case.

Fit. Experience in probabilistic machine learning, uncertainty quantification, stochastic modeling, dependence structures, non-stationary time series, regime-switching models, extreme value theory, tail modeling, rare events, or probabilistic forecasting/classification. Weather, meteorology, energy markets, or price forecasting is a plus.

Email: Probabilistic ML Cofounder

Please include a short note about your relevant background and a CV, GitHub, LinkedIn, Google Scholar profile, or portfolio link.