Quantum CT Technology Transfer Licensing Associate

Job Summary

Reporting to the Senior Director of Licensing at the Technology Commercialization, the Technology Transfer Licensing Associate Services, this position will work closely with the OVPR’s Technology Commercialization Services (TCS) technology office to evaluate and manage new inventions, licensing agreements, evaluate IP work with the patent council’s office, and lead discussions for transactions, filings, and contract negotiation.

About the Role

The NSF Quantum Technologies Engine in Connecticut (QuantumCT Engine), led by the University of Connecticut, aims to advance American quantum innovation and secure the domestic quantum supply chain by accelerating the commercialization of quantum technologies for national defense, biotechnology and financial services. Through innovation, applied research leading to new technologies, support for inventors and entrepreneurs and workforce development, the QuantumCT Engine will advance quantum sensing, secured communications, computing, and materials through shared test bed, deep-tech incubator, and translation pathways.

Responsibilities

• Aid in educating faculty, staff, and students about quantum and quantum-related technology transfer, including intellectual property, commercialization, and the innovation process.
• Support senior staff in the review of invention disclosures in the physical sciences.
• Aid in faculty and student startup creation and supporting venture program.
• Support the Quantum Accelerator program.
• Aid in preparing marketing materials and outreach efforts to help promote university technologies to potential industry partners.
• Maintain records and track invention disclosures, patent activities, and commercialization efforts.
• Meet with faculty, researchers, and staff to gather information related to inventions and ongoing research activities.
• Participate in team meetings related to patenting and commercialization decisions and help prepare materials for review.
• Aid in patent-related activities by coordinating information and working with internal patent staff.
• Aid in the preparation and processing of agreements such as confidentiality agreements, material transfer agreements, and other technology transfer documents.
• Aid in building and maintaining relationships with industry partners, entrepreneurs, investors, and researchers.
• Participate in programs and events that promote innovation, entrepreneurship, and academic-industry collaboration.
• Care for databases and reports related to intellectual property, licensing, and commercialization efforts.
• Collaborate with Program Manager for UIR program to establish technology translation and IP evaluation.
• Work collaboratively with other OVPR staff to support departmental goals and initiatives.

Qualifications

• Master's degree in the physical sciences, engineering.
• At least one year of experience in technology transfer.
• In-depth knowledge of quantum, AI and Machine Learning applications.
• Experience in laboratory work.
• Experience working in an academic environment and ability to interact with faculty.

Preferred Qualifications

• Doctoral degree in the physical sciences or engineering with some preference for those with expertise in electrical or computer science engineering.
• Postdoctoral training in Engineering and Physical Sciences.
• Between 2-3 years’ experience in technology transfer.
• Combination of business and academic/R&D experience in engineering or physical sciences.
• Experience working in an academic environment and ability to interact well with faculty.

Benefits

The University offers a competitive salary, and outstanding benefits, including employee and dependent tuition waivers at UConn, and a highly desirable work environment. This position is based at the Farmington (UConn Health) campus, and the successful candidate will be required to work on the campus and travel to the Storrs campus as needed.

Pay

This position's salary range is $95,000 to $110,000.

Schedule

This position is end-dated with the possibility of renewal subject to performance and funding.