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  • Post-Doctoral Fellow

    University of Colorado (Denver, CO)



    Apply Now

    Post-Doctoral Fellow

     

    University of Colorado Denver

     

    Post-Doctoral Fellow-34229

     

    Faculty

    Description

    _Position Details_

    University of Colorado | Denver

     

    Official Title: Postdoctoral Fellow

     

    FTE: Full-Time 40 hours per week

     

    Workplace Modality: (In-person, Hybrid, or Remote):** **In-Person with an option for hybrid work contingent on phase of project and progress on research.

     

    Salary Range: $4707 per month

     

    Join the University of Colorado Denver

     

    About the University of Colorado - Denver (https://apptrkr.com/get\_redirect.php?id=5606477&targetURL=https://www.ucdenver.edu/about-cu-denver)

     

    Millions of moments start at CU Denver, a place where innovation, research, and learning meet in the heart of a global city. We're the state's premier public urban research university with more than 100 in-demand, top ranked bachelors, master's, and doctoral degree programs. We partner with diverse learners-at any stage of their life and career-for transformative educational experiences. Across seven schools and colleges, our leading faculty inspires and works alongside students to solve complex challenges and produce impactful creative work. As part of the state's largest university system, CU Denver is a major contributor to the Colorado economy, with 2,000 employees and an annual economic impact of $800 million. To learn more about how CU Denver helps learners meet their moment, visit ucdenver.edu.

    What you will do:

    We are seeking an individual with research experience and interest in implementing and evaluating deep reinforcement learning (DRL) systems to assist in developing explanation system to describe the decisions from such models.

    Minimum Qualifications

    + **_Must be U.S. citizen and be able to commit time to support regular program meetings and milestones._** **_Non-U.S. citizens cannot be considered due to requirements of the project funding._**

    + A PhD in Computer Science or related field with a minimum of 2 years of research which can include PhD dissertation and publications.

    + Experience in Artificial Intelligence/Machine Learning and have a strong programming background in Python.

    + Experience working on research projects in an academic setting or demonstration of high research potential.

    Preferred Qualifications

    + _Evidence of leadership, mentoring, and outreach._

    + At least 2 peer-reviewed publications as first or senior author.

    Knowledge, Skills, and Abilities

    + Oversee and manage the research and development of explanation systems for deep reinforcement learning systems.

    + Excellent proficiency in both written and oral English.

    + Excellent communication skills including the ability to communicate well in a team setting.

    + Great motivation for research, interest in the relevant topics, and good knowledge of relevant theory and methods.

    + Ability to work independently as well as in teams.

     

    Conditions of Employment

     

    As of 7/1/2023, The University of Colorado recommends employees be fully vaccinated from the COVID-19, but is not required. COVID recommendations and information can be found at: https://www.ucdenver.edu/coronavirus (https://apptrkr.com/get\_redirect.php?id=5606477&targetURL=https://www.ucdenver.edu/coronavirus) .

     

    Compensation and Benefits

     

    The salary range ( _or hiring range_ ) for this position has been established at $ 4707 per month.

     

    The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.

     

    The above salary range ( _or hiring range_ ) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

     

    This position is not eligible for overtime compensation.

     

    Your total compensation goes beyond the number on your paycheck. The University of Colorado Denver provides generous leave, health plans and retirement contributions that add to your bottom line.

     

    **Benefits:** https://www.cu.edu/employee-services/benefits (https://apptrkr.com/get\_redirect.php?id=5606477&targetURL=https://www.cu.edu/employee-services/benefits)

     

    Total Compensation Calculator: http://www.cu.edu/node/153125 (https://apptrkr.com/get\_redirect.php?id=5606477&targetURL=http://www.cu.edu/node/153125)

     

    Application Deadline

     

    Applications will be accepted until the position is filled. Preference will be given to complete applications received by 8/1/2024. Those who do not apply by this date may or may not be considered.

    Required Application Materials:

    To apply, please visit: http://www.cu.edu/cu-careers (https://apptrkr.com/get\_redirect.php?id=5606477&targetURL=http://www.cu.edu/cu-careers) and attach:

     

    + A cover letter which specifically addresses the job requirements and outlines qualifications

    + A current CV/resume

    + List of two references (we will notify you prior to contacting both on and off-list references)

    + Statement of research experience.

     

    Background Check Policy

     

    The University of Colorado Denver strives to maintain a safe and productive educational, clinical, research and employment environment. All prospective employees and current employees must, therefore, consent to and pass background checks prior to any final appointment/employment.

     

    CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

     

    The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator [email protected] (https://apptrkr.com/get\_redirect.php?id=5606477&targetURL=workplaceengagement@ucdenver.edu) .

     

    Questions should be directed to** **Professor Gita Alaghband ([email protected]) (https://apptrkr.com/get\_redirect.php?id=5606477&targetURL=([email protected]))

     

    **Application Materials Required:** Cover Letter, Resume/CV, List of References, Additional Attachments - Refer to Application Materials Instructions Below Application Materials Instructions: *Applications are accepted electronically ONLY at www.cu.edu/cu-careers * To apply, please visit: http://www.cu.edu/cu-careers and attach: A cover letter which specifically addresses the job requirements and outlines qualifications A current CV/resume List of two references (we will notify you prior to contacting both on and off-list references) Statement of research experience.

    **Job Category:** Faculty

    **Primary Location:** Denver

    **Department:** U0001 -- Anschutz Med Campus or Denver - 30077 - CEDC-Computer SC & Engineering

    **Schedule:** Full-time

    **Posting Date:** Jul 17, 2024

    **Unposting Date:** Ongoing

    **Posting Contact Name:** Gita Alaghband

    **Posting Contact Email:** [email protected]

    **Position Number:** 00640476

     

    To apply, please visit: https://cu.taleo.net/careersection/2/jobdetail.ftl?job=34229&lang=en (https://apptrkr.com/5606477)

     

    Copyright 2025 Jobelephant.com Inc. All rights reserved.

     

    Posted by the FREE value-added recruitment advertising agency (https://www.jobelephant.com/)

    jeid-14efb120c57e5a4d98f6fc85057ca1a7

    The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.

     


    Apply Now



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