Postdoctoral Research Fellow - Neuroscience Institute - MCS

Carnegie Mellon University • Pittsburgh, PA

1d • Onsite

About The Position

Carnegie Mellon University is a private, global research university that challenges the curious and hardworking to deliver work that matters. Our outstanding institution has distinctive areas of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce versatile alumni and draw faculty and staff eager to be a part of the university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration. The Neuroscience Institute (NI) was launched to bring together faculty and staff from across the University to conduct multi-disciplinary work to advance the state of brain science. We are seeking a Post-Doctoral Research Associate for the Pitkow Lab. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work. Joining the CMU team opens the door to an array of exceptional benefits. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Requirements

• PhD in Neuroscience, Cognitive Science or a related field
• Extensive experience algorithms and machine learning
• Experience in and with statistics
• Graduate level research experience
• A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Responsibilities

• Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments.
• Modeling dynamical systems
• Designing and extending algorithms grounded in probabilistic machine learning
• Applying statistical techniques to assess robustness and generalization.
• Development of methods of research, testing and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content.

Benefits

• Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions.
• Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
• Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
• For a comprehensive overview of the benefits available, explore our Benefits page.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree