Post-Doctoral Fellow, Intelligence and Computing Lab

Engineering a world of possibilities Post-Doctoral Fellow, Intelligence and Computing Lab, Department of EE A Post-Doctoral Scholar position is available as soon as April 2026 in Dr. Qiuhua Huang’s Power, Intelligence and Computing (PIC) lab in the Department of Electrical Engineering at the Colorado School of Mines (Golden, Colorado). The research at PIC lab lies at the intersection of power system, AI, computing and control and targets at energy system resilience, digitalization and decarbonization. More information about PIC lab can be found at The Post-Doctoral Researcher will work in the following areas: 1) distribution or T&D system modeling, simulation, or digital twins develop and 2) Distribution system resilience to wildfire and natural hazards and 3) AI for the built environment and resilience (especially geospatial ML). Funding is available for up to 12 months for the initial phase, with the possibility of extension if additional research funding is secured. Candidates should have completed PhD by June 1, 2026. Candidates available to start soon (preferably before June) are strongly encouraged to apply. Primary Responsibilities Support the PI to complete the assigned research tasks Participate in a weekly 1-hour meeting Meet weekly with each individual graduate student in research group for 30-60 minutes to provide research guidance Submit 2 proposals each year Submit 2 research papers each year Revise and resubmit other papers as needed Assist graduate students in submitting their work for publication, as appropriate Minimum Qualifications PhD in electrical engineering, or closely related field by June 1, 2026 Expertise in power system simulation or resilience, OR physics-informed machine learning, OR geospatial data-driven modeling Preferred Qualifications Demonstrated experience in distribution system modeling, quasi-static simulation, or digital twin development Prior work on wildfire risk, extreme events, or infrastructure resilience modeling Strong publication record in relevant areas Proficiency in Python and/or Java (experience with power system tools such as OpenDSS, GridLAB-D, PandaPower or InterPSS is a plus) Experience with ML frameworks (e.g., PyTorch, TensorFlow) and geospatial data processing Ability to work across physics-based and data-driven modeling Strong communication skills and ability to work in interdisciplinary teams Total Rewards $60,000 annual salary rate Mines takes into consideration a combination of candidate’s education, training and experience as well as the position’s scope and complexity, the discretion and latitude required in the role, work location, and external market and internal value when determining a salary level for potential new employees. Colorado School of Mines offers a robust portfolio of benefits for all employees. For this role, that includes: Flexible health and dental care options Generous sick/vacation time: 13 paid holidays per year – including a week-long winter break for entire campus. Fully vested retirement plan on first day of employment, with generous employer contribution (you will receive 12% from Mines in a MDCP averaging $8,640 a year) Tuition benefits (6 credits per year for employees, 50 percent discount for dependents) Free RTD Ecopass for regional bus and light rail transportation How to Apply Review of applications will begin on April 6th and continue until filled. Applicants must complete an online application (personal information, demographic information, veteran status) and upload the following: CV including publication list Letter of interest with description of qualifications Contact information for three references Applicants will notice on the application form, there is only one location to upload all required materials. Further, once submitted, the applicant will not be able to edit their application. Applicants may submit their application as one combined document or as separate documents. Successful completion of a background investigation is required for this position. This posting may be used to fill multiple openings. Contact Kathleen Feighny in HR with any questions at View email address on click.appcast.io. We appreciate your interest in Mines! Additional Information and Reasonable Accommodation Requests It is the intent of Mines to comply with the applicable requirements of the Americans with Disabilities Act and the Americans with Disabilities Act Amendments Act of 2008, and their implementation rules and regulations, in support of equal opportunities for qualified applicants with disabilities. To meet this goal, Mines will make reasonable accommodations during the employment selection process and within our working environment. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on our site as a result of your disability. You can request a reasonable accommodation by contacting our Human Resources team at View email address on click.appcast.io or View phone number on click.appcast.io for assistance. Successful completion of a background investigation is required for this position. Equal Opportunity Colorado School of Mines is committed to equal opportunity for all persons. Mines does not discriminate on the basis of age, sex, gender (including gender identity and gender expression), ancestry, creed, marital status, race, ethnicity, religion, national origin, disability, sexual orientation, genetic information, veteran status or current military service. Further, Mines does not retaliate against community members for filing complaints regarding or implicating any of these protected statuses. Mines’ commitment to nondiscrimination, equal opportunity and equal access is reflected in the administration of its policies, procedures, programs and activities and in its efforts to achieve a talented student body and workforce. Through its policies, procedures and resources, Mines complies with federal law, Colorado state law, administrative regulations, executive orders and other legal requirements to prevent discrimination (including harassment or retaliation) within the Mines campus community and to address potential allegations of inequality or concerns for safety. #J-18808-Ljbffr Dormont Manufacturing Co