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Texas A&M University Postdoctoral Research Associate in United States

Job Title

Postdoctoral Research Associate

Agency

Texas A&M University

Department

School of Performance, Visualization & Fine Arts

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

A Glimpse of the job

The Postdoctoral Research Associate, will conduct research that contributes to advancing 3D computer vision, generative AI, and the robotics field. We're seeking someone with a passion for developing new algorithms, mathematical formulations, machine learning models, and robust systems that will help enhance the scene representation, understanding, and manipulation of three-dimensional environments by robotic systems. Working in The School of Performance, Visualization and Fine Arts (PVFA), you will focus on publishing and presenting the research findings in top-tier peer-reviewed computer vision, robotics, and machine learning conferences and journal; in addition, contributing to research projects while managing/maintaining laboratory resources/equipment. If you have a PhD in Computer Science, Mathematics, Computing, or Engineering in topics related to artificial intelligence, or a related field., we invite you to apply for this impactful research opportunity.

What you need to know

Salary: Compensation will be commensurate to selected hire’s experience.

Position Details: Initial contract will be a year, with possibility of extension depending on progress. This position may be required to travel internationally.

Cover Letter/Resume : A cover letter and resume may assist us in our review of your application materials. These can be uploaded on the application under CV/Resume.

Essential Duties/Tasks

Research - Conduct research detailed above and assist in developing project proposals. Perform rigorous data analysis and conduct experiments to validate hypotheses, formulations, and models. Develop, collect, process, and analyze 3D imaging data. Manage and maintain laboratory resources and equipment. Collaborate with other researchers and/or faculty. Plan, manage, and monitor research project timelines.

Publishing/presenting and Mentorship - Actively contributes to research paper publications at top-tier peer-reviewed computer vision, machine learning, and robotics conferences and journals. Presents at reputed national and/or international venues. Participates in all aspects of paper review. Prepares presentation materials. Actively participates in the preparation of required technical progress reports to research sponsors. Serve as a mentor to students at the bachelor, master, or Ph.D in the context of collaborative research efforts and may perform other duties as assigned.

Qualifications

Required Education & Experience:

  • PhD degree in Computer Science, Mathematics, Computing, or Engineering in topics related to artificial intelligence, or a related field.

Required Knowledge, Skills, and Abilities:

  • Verbal and written communication skills in English with the ability to present at conferences.

  • Knowledge of developing and applying modern deep learning architecture

  • Knowledge of computer vision algorithms in at least two of the following: Python, C/C++, or MATLAB

  • Demonstration of programming proficiency using the following software packages: OpenCV, Open3D, ROS, PyTorch/Keras/Tensor Flow, and related data science packages.

  • Knowledge about ethical guidelines to AI and related topics and ability to maintain a high commitment to lab excellence and ethical standards.

Preferred Qualifications:

  • Excellent verbal and written communication skills in English.

  • Exemplary background in computer programming languages.

  • Excellent academic grades in the following subjects – computer vision, machine learning, deep learning, robotics, mathematical optimization, linear algebra.

  • Publication and open-source code profile related to topics.

  • Track record of producing high-quality, peer-reviewed computer scientific publications (i.e. – CVPR, ECCV, ICCV, ICLR, ICRA/RAL, TPAMI)

  • Experience mentoring students at the bachelor, master, or PhD level.

    Why Texas A&M University?    

We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as: sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes. In addition, you have access to many benefits and perks, such as:   

  • Health, dental, vision, life and long-term disability insurance (http://www.tamus.edu/business/benefits-administration/)  with Texas A&M contributing to employee health and basic life premiums   

  • 12-15 days (https://employees.tamu.edu/employee-relations/leave/paid/university-holidays.html)  of annual paid holidays    

  • Up to eight hours of paid sick leave (https://employees.tamu.edu/employee-relations/leave/paid/vacation.html)  and at least eight hours of paid vacation  (https://employees.tamu.edu/employee-relations/leave/paid/vacation.html)  each month   

  • Automatic enrollment in the Teacher Retirement System of Texas (https://new.tamu.edu/enjoy-the-benefits/retirement/)     

  • Free exercise programs and release time (https://flourish.tamu.edu/wellness-release-time/)  for health and wellness programs   

  • All employees have access to free LinkedIn Learning (https://linkedinlearning.tamu.edu/)  training programs, webinars, and limited financial support to attend conferences, workshops, and more    

  • Educational release time and tuition assistance (https://employees.tamu.edu/benefits/healthy-behaviors/employee-tuition.html)  for completing a degree while a Texas A&M employee   

For additional benefit information Click here (http://employees.tamu.edu/benefits/_media/documents/200benefitsWellness101.pdf)

Our Commitment:

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values (https://www.tamu.edu/about/coreValues.html) which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.

Instructions to Applicants: Applications received by Texas A&M University must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume’ or use a LinkedIn profile to pre-populate the online application.   

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Affirmative Action/Veterans/Disability Employer.

Howdy and thank you for your interest in a career with Texas A&M University. As the flagship campus of The Texas A&M University System, we are located in College Station, Texas with a student population of more than 74,000 and nearly 14,000 faculty and staff.The Spirit of Aggieland is unmistakable. We are a unique American institution, fostering a culture of friendliness, compassion and respect for one another. Our unique history and rich traditions make Texas A&M special.From our benefits package and professional development opportunities to our retirement programs, Texas A&M is a great place to work. Your path to a great career starts here!Equal Opportunity/Affirmative Action/Veterans/Disability Employer.

If you need assistance in applying for this job, please contact (979) 845-5154.

Useful Links:

  • Benefit Programs (https://www.tamus.edu/business/benefits-administration)

  • Retirement

  • Employee Discount Program (https://employees.tamu.edu/benefits/healthy-behaviors/perks.html)

  • Flexible Spending Accounts

  • University Holidays (http://www.tamus.edu/business/human-resources/am-system-holidays/)

  • Legal Statements

  • New Employee Orientation (https://employees.tamu.edu/orgdev/courses.html#EmployeeOrientations)

  • Prospective Employees

  • Safety and Security Notices (https://orec.tamu.edu/clery/annual-security-report/)

  • Training and Development

  • USERRA (https://www.dol.gov/agencies/vets/programs/userra)

  • Nondiscrimination Notice

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