Description
Carnegie Bosch Fellowships are two-year awards supporting outstanding postdoctoral researchers conducting high-potential research within the excellence-driven environment of CMU. Offering benefits beyond ‘traditional’ postdoc roles, Fellows are provided with the resources, flexibility, and environment to address “grand challenge” style problems in line with their research vision together with their faculty host(s). Postdoctoral positions supported by CBI provide remarkable opportunities to shape the next generation of research while offering Fellows the chance to develop their academic careers in exceptional directions. Fellowship recipients are expected to broadly disseminate their research results via active engagement with the international research community in their respective fields, and they will be provided with resources to aid in these efforts, e.g. conference registration + travel.
Carnegie Bosch Fellows are hosted within Colleges at CMU and provided with mentorship and direction from world-class faculty as well as access to industry-grade resources from Bosch. Specifically, Fellows are paired with a faculty host at CMU, working to inspire and guide their overall research efforts, and benefit from the connection to an additional distinguished member of the senior faculty offering unique mentorship support. In addition, Fellows will be given the opportunity to be introduced to experts from the global Bosch Corporate Research organization, who provide additional insight and counsel from an industrial perspective and share access to real-world challenges from domains including mobility and advanced manufacturing.
Postdoctoral Fellowships from the Carnegie Bosch Institute at CMU are intended to support researchers working in the fields of artificial intelligence, cybersecurity/privacy, robotics, and sustainability. A broad range of research interests within these four areas will be considered, from theory to application.
Qualifications
We particularly encourage proposals that explore cross-disciplinary topics that bridge these fields, for example (the following list is illustrative rather than exhaustive):
Security and Privacy in Robotics
Human factors in Robot Learning, e.g., Human-centric Learning from Demonstrations, Shared Autonomy, etc.
Robotics and automation using sustainable materials and process workflows
Agentic systems for robotics and control
Energy-efficient machine learning and model compression
Applications of AI for circular economies
Sustainable AI for the smart home
Intelligent residential energy aggregation for virtual power plants
Trustworthy and transparent AI for critical infrastructure
Resilient and secure AI for smart cities
Data governance and responsible innovation across emerging technologies
Preference will be given to applicants with strong Research Statements (as indicated in the Application Requirements below), demonstrating: compelling future vision (including potential follow-on opportunities), collaborative approach (connection to/ building on efforts already underway), broader positive societal impact.
Application Instructions
Cover Letter
Curriculum Vitae
Research Statement (maximum three pages), outlining a compelling long-term vision for a research program whose development would be supported by participation in the CBI Fellowship Program:
o How will you use the time and resources provided by your Fellowship to advance this vision?
o How will you take advantage of collaboration opportunities at CMU (and beyond)?
o What will be the eventual impact of this research beyond the core technical results? How will it impact society in a transformative way (e.g., safety, efficiency, trustworthiness)?
Professional References (maximum three)
Letter of Support (maximum one page) from prospective faculty collaboration host at CMU
Equal Employment Opportunity Statement
Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.
