Job ID361152 LocationAll Other -See Job Description Job FamilyResearch-Researchers Full/Part TimeFull-Time Regular/TemporaryRegular Job Code9742R5 Employee ClassAcad Prof and Admin About the Job Design Algorithms & Research (60%) Explore foundation model architectures for scientific problems such as those that can capture complex physical properties to minimize hallucinations that are experienced by traditional LLMs, such as ChatGPT. Deep interaction with domain experts to identify relevant scientific concepts that can be incorporated into foundation model architectures. Design self-supervised machine learning algorithms that will use images from Maxar, PlanetScope, Sentinel, and Landsat to create foundation models for key downstream applications such as crop detection. Data Management (20%) Develop and execute an effective data management pipeline needed to handle large amounts of data required for building these models. Use data gathered to inform models, including adjusting the model as new data becomes available. Participate in sponsored project proposal submission related to these research efforts. Lab Citizen (20%) Mentor graduate students in the Kumar lab, specifically coaching on research design and proposal writing related to algorithm development. Attend lab meetings. This position will be located in the state of Colorado. Qualifications Required Qualifications: Advanced degree in computer science with 1 or more years of research training Preferred Qualifications: PhD in computer science. 3+ years of post PhD research experience in the areas of deep learning, large-scale processing of spatio-temporal datasets, research experience in knowledge-guided machine learning for scientific applications. Demonstrated experience in leading technical writing and communication with non-technical audiences. Demonstrated experience of leading collaboration efforts with domain experts. Demonstrated experience in mentoring junior researchers from multiple domains. About the Department The Department of Computer Science & Engineering at the University of Minnesota has been on the cutting-edge for its education, research and outreach for decades. The legacy continues as the department continues to grow and expand its curriculum, research and outreach. Benefits Working at the University At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work. The University also offers a comprehensive benefits package that includes: Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and employer-paid life insurance Employee wellbeing program Excellent retirement plans with employer contribution Public Service Loan Forgiveness (PSLF) Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost Please visit the for more information regarding benefits. How To Apply Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section. This position will remain open until filled. To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647. Diversity The University recognizes and values the importance of diversity and inclusion in enriching the employment experience f its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment. About the U of M The University of Minnesota, Twin Cities (UMTC) The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations. At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022). The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu.