Job Title : Temporary Research AssociateLocation : QatarCompany : Texas A&M UniversitySalary : Open Date : 2023-03-22Close Date : 2023-07-22
Job Title Temporary Research Associate Agency Texas A&M University Department Qatar Campus RVACANT Proposed Minimum Salary Commensurate Job Location Doha, Ad Dawhah Job Type Temporary/Casual Staff (Fixed Term) Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & identities. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service. Who we are The Texas A&M University at Qatar campus mission is to educate exemplary engineers and develop world-class leaders through internationally recognized undergraduate and graduate degree programs. We strive to generate new knowledge and intellectual capital through innovative research and collaborative partnerships that yield sustainable impact and advance the development goals of the State of Qatar and the region through expertise and engagement that expand human capital. What we want We are seeking an individual to serve as a member of the department team. We desire an individual who subscribes to and supports our commitment as stated above. The successful applicant will bring a good level of laboratory experience to the position and understand the demands of supporting researchers in a detail-oriented environment. This person must be professional, enjoy working in a high-volume environment and be able to apply strong organizational skills while being flexible in their daily routine. If this is you, we invite you to apply to become a member of our team. What you need to know Salary: Compensation will be commensurate to selected hire’s experience. Cover Letter/Resume: A cover letter and resume will assist us in our review of your application materials. These can be uploaded on the application under CV/Resume. Required Education and Experience:
- Bachelor's degree in relevant field
- Two years of related professional experience, preferably in research
- Ability to multi-task and work cooperatively with others
- Research - Perform research work on development of deep reinforcement learning and advanced control system techniques for building a data training set.
- Data Analysis - Work on health degradation modeling based on the collected historical data.
- Technical Writing - Prepare conference and journal papers, and actively participate in preparation of required technical progress reports to research sponsors. Other duties as assigned.