Post Doctoral Fellow - Mechanical and Aerospace Engineering - (496687 )

The Chronicle Of Higher Education, Inc.; Houston (TX); On-site; USD 52,000 - 68,000; Full time

Job summary

The University of Houston invites applications for a postdoctoral position in the Department of Mechanical and Aerospace Engineering. The project focuses on developing machine learning–based approaches to predict structure–property relationships, including damage evolution, in recyclable composite materials.

The successful candidate will work at the interface of computational mechanics, materials science, and machine learning to create next-generation predictive models.

Qualifications

• PhD in Mechanical Engineering or a closely related field.
• Strong background in solid mechanics and computational micromechanics of materials.
• Experience with machine learning methods and tools.
• CV required along with references.

Responsibilities

• Receives, reviews progress and evaluates results of experiments or projects under supervision.
• Recommends changes in research, testing or experimental procedures.
• May be responsible for a single highly technical and complex piece of research equipment.
• May review and evaluate the effectiveness of personnel.
• May plan for and assign personnel to projects under control.
• Operates with latitude for unreviewed action.
• Performs other job-related duties as required.

Skills

Machine learning methods

Solid mechanics

Computational micromechanics

Research communication

Education

PhD in Mechanical Engineering or closely related field

Tools

ML frameworks

Job description

Department: MechanicalEngineering Salary: Commensurate withExperience/Education

Description:

Possesses, understands, and applies a comprehensive knowledge inarea of specialization. Develops understanding and skills to allowfor completion of assignments that cross fields of specialization.Develops leadership and management skills.

• Receives/Reviews progress and evaluates results of experimentsor projects under control or supervisory responsibility.
• Recommends changes in research, testing or experimentalprocedures.
• May be responsible for a single highly technical and complexpiece of research equipment.
• May review and evaluate the effectiveness of personnel.
• May plan for and assign personnel to projects undercontrol.
• Operates with latitude for unreviewed action.
• May receive general supervision conferring with higher levelsonly in unusual situations.
• Performs other job-related duties as required.

A postdoctoral position is available in the Department ofMechanical and Aerospace Engineering at the University ofHouston.

The project will focus on developing machine learning–basedapproaches to predict structure–property relationships, includingdamage evolution, in recyclable composite materials. The successfulcandidate will work at the interface of computational mechanics,materials science, and machine learning to develop next-generationpredictive models of composite behavior. The project is highlycollaborative and involves interactions with researchers fromacademia, a leading applied research organization, andindustry.

Required qualifications

• - PhD in Mechanical Engineering or a closely related field
• - Strong background in solid mechanics
• - Experience in computational micromechanics of materials
• - Experience with machine learning methods

Preferred qualifications

• - Extensive experience with modern machine learning tools andtechniques
• - Ability to work effectively under tight deadlines
• - Strong written and oral communication skills, with the ability topresent research in group meetings, project reviews, andconferences

CV required along with the names and contact information of atleast two references.

MQ: Requires singular knowledge of a specialized advancedprofessional discipline or the highest level of general businessknowledge, normally acquired through attainment of a directlyjob-related terminal degree or equivalent formal training in arecognized field of specialization that is directly related to thetype of work being performed. No experience is required.

All positions at the University of Houston-System are securitysensitive and will require a criminal history check.

The University of Houston System and its universities are EqualOpportunity Institutions. Everyone is encouraged to apply.