Machine learning for biomechanics, injury prediction and wearable technologies * Precision ... S. in Mechanical Engineering undergraduate degree, and more recently in 2022, added a B.S. in ...
Machine learning for biomechanics, injury prediction and wearable technologies * Precision ... S. in Mechanical Engineering undergraduate degree, and more recently in 2022, added a B.S. in ...
... Mechanical Engineering at Baylor University invites applications for a Postdoctoral Research ... machine learning, optimization, control, and estimation. Current research thrusts include multi ...
... Mechanical Engineering at Baylor University invites applications for a Postdoctoral Research ... machine learning, optimization, control, and estimation. Current research thrusts include multi ...
Video Machine Learning Engineer
San Diego, CA · On-site
$139K - $258K/yr
Minimum Qualifications * BS in Computer Science, Electrical Engineering, Machine Learning, or a related field * Strong foundation in deep learning and neural network design, including hands‑on ...
Video Machine Learning Engineer
San Diego, CA · On-site
$139K - $258K/yr
Minimum Qualifications * BS in Computer Science, Electrical Engineering, Machine Learning, or a related field * Strong foundation in deep learning and neural network design, including hands‑on ...
... Mechanical Engineering at Baylor University invites applications for a Postdoctoral Research ... machine learning, optimization, control, and estimation. Current research thrusts include multi ...
... Mechanical Engineering at Baylor University invites applications for a Postdoctoral Research ... machine learning, optimization, control, and estimation. Current research thrusts include multi ...
Postdoctoral Fellow in Geometric Machine Learning
Cambridge, MA · On-site
$67K - $91K/yr
Paulson School of Engineering and Applied Sciences Department/Area Applied Math Position Description A postdoctoral position is available in the Geometric Machine Learning Group at Harvard University ...
Postdoctoral Fellow in Geometric Machine Learning
Cambridge, MA · On-site
$67K - $91K/yr
Paulson School of Engineering and Applied Sciences Department/Area Applied Math Position Description A postdoctoral position is available in the Geometric Machine Learning Group at Harvard University ...
PostDoc - Machine Learning
Upton, NY · On-site
$74K - $122K/yr
Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics) * Strong theoretical understanding and practical experience in machine learning, multimodal ...
PostDoc - Machine Learning
Upton, NY · On-site
$74K - $122K/yr
Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics) * Strong theoretical understanding and practical experience in machine learning, multimodal ...
Post Doctoral Fellow - Mechanical and Aerospace Engineering - (496687 )
Houston, TX · On-site
$46K - $63K/yr
A postdoctoral position is available in the Department ofMechanical and Aerospace Engineering at ... The project will focus on developing machine learning-basedapproaches to predict structure-property ...
Post Doctoral Fellow - Mechanical and Aerospace Engineering - (496687 )
Houston, TX · On-site
$46K - $63K/yr
A postdoctoral position is available in the Department ofMechanical and Aerospace Engineering at ... The project will focus on developing machine learning-basedapproaches to predict structure-property ...
Machine Learning Engineer III
Kirkland, WA · On-site
$122K - $158K/yr
Qualifications * -Five or more years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership. * -Strong proficiency in Python ...
Machine Learning Engineer III
Kirkland, WA · On-site
$122K - $158K/yr
Qualifications * -Five or more years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership. * -Strong proficiency in Python ...
POSITION SPECIFICS The Department of Mechanical Engineering at The Pennsylvania State University is ... Expertise with Machine Learning Potentials * Expertise with quantum chemical methods Interested ...
POSITION SPECIFICS The Department of Mechanical Engineering at The Pennsylvania State University is ... Expertise with Machine Learning Potentials * Expertise with quantum chemical methods Interested ...
Postdoctoral Researcher- Mechanical Engineering
Detroit, MI · On-site
$114K/yr
Postdoctoral Researcher- Mechanical Engineering Wayne State University is searching for an experienced Postdoctoral Researcher- Mechanical Engineering at its Detroit campus location. Wayne State is a ...
Postdoctoral Researcher- Mechanical Engineering
Detroit, MI · On-site
$114K/yr
Postdoctoral Researcher- Mechanical Engineering Wayne State University is searching for an experienced Postdoctoral Researcher- Mechanical Engineering at its Detroit campus location. Wayne State is a ...
Minimum Qualifications BS in Computer Science, Electrical Engineering, Machine Learning, or a related field Strong foundation in deep learning and neural network design, including hands-on experience ...
Minimum Qualifications BS in Computer Science, Electrical Engineering, Machine Learning, or a related field Strong foundation in deep learning and neural network design, including hands-on experience ...
Job SummaryWe have an open position for a computer science/machine-learning postdoctoral fellow to ... engineering, or related fieldsBroad proficiency and experience with supervised and unsupervised ...
Job SummaryWe have an open position for a computer science/machine-learning postdoctoral fellow to ... engineering, or related fieldsBroad proficiency and experience with supervised and unsupervised ...
POSITION SPECIFICS The Department of Mechanical Engineering at The Pennsylvania State University is ... Expertise with Machine Learning Potentials * Expertise with quantum chemical methods Interested ...
POSITION SPECIFICS The Department of Mechanical Engineering at The Pennsylvania State University is ... Expertise with Machine Learning Potentials * Expertise with quantum chemical methods Interested ...
They are seeking a highly motivated Machine Learning Postdoctoral Researcher to contribute to ... Electrical Engineering, or a related field, with a focus on machine learning, natural language ...
They are seeking a highly motivated Machine Learning Postdoctoral Researcher to contribute to ... Electrical Engineering, or a related field, with a focus on machine learning, natural language ...
We are seeking candidates whose research combines mechanical and/or manufacturing & industrial engineering fundamentals with machine learning, artificial intelligence, autonomy, digital twins ...
We are seeking candidates whose research combines mechanical and/or manufacturing & industrial engineering fundamentals with machine learning, artificial intelligence, autonomy, digital twins ...
Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4 + years of relevant industry experience, OR Master's degree with 3 + ...
Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4 + years of relevant industry experience, OR Master's degree with 3 + ...
They are seeking a highly motivated Machine Learning Postdoctoral Researcher to join their AI ... Electrical Engineering, or a related field, with a focus on machine learning, natural language ...
They are seeking a highly motivated Machine Learning Postdoctoral Researcher to join their AI ... Electrical Engineering, or a related field, with a focus on machine learning, natural language ...
Engineer, Machine Learning
Washington, DC · On-site
Collaborate with the engineering team to integrate machine learning solutions into projects. Stay updated on the latest machine learning technologies and trends. Develop and implement quantum machine ...
Engineer, Machine Learning
Washington, DC · On-site
Collaborate with the engineering team to integrate machine learning solutions into projects. Stay updated on the latest machine learning technologies and trends. Develop and implement quantum machine ...
Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4 + years of relevant industry experience, OR Master's degree with 3 + ...
Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4 + years of relevant industry experience, OR Master's degree with 3 + ...
Postdoctoral Researcher - Scientific Machine Learning & Computational Chemistry
Bodega Bay, CA · On-site
$8.8K - $10K/mo
Strong Python programming skills and experience developing, training, and evaluating neural-network ... Opportunities to connect, network, and grow through the Berkeley Lab Postdoc Association, including ...
Postdoctoral Researcher - Scientific Machine Learning & Computational Chemistry
Bodega Bay, CA · On-site
$8.8K - $10K/mo
Strong Python programming skills and experience developing, training, and evaluating neural-network ... Opportunities to connect, network, and grow through the Berkeley Lab Postdoc Association, including ...
Mechanical Engineering Machine Learning Postdoc information
See salary details
$45.5K - $56.5K
2% of jobs
$56.5K - $67.5K
6% of jobs
$67.5K - $78.5K
12% of jobs
$81.4K is the 25th percentile. Wages below this are outliers.
$78.5K - $89.5K
18% of jobs
The median wage is $96.6K / yr.
$89.5K - $100.5K
18% of jobs
$100.5K - $111.5K
13% of jobs
$119.1K is the 75th percentile. Wages above this are outliers.
$111.5K - $122.5K
9% of jobs
$122.5K - $133.5K
17% of jobs
$133.5K - $144.5K
2% of jobs
$144.5K - $155.5K
1% of jobs
$155.5K - $166.5K
2% of jobs
$45.5K
$102.9K
$166.5K
How much do mechanical engineering machine learning postdoc jobs pay per year?
What are popular job titles related to Mechanical Engineering Machine Learning Postdoc jobs?
For Mechanical Engineering Machine Learning Postdoc jobs, the most frequently searched job titles are:

Mechanical Engineering - Full Professor
Tuscaloosa, AL • On-site
Other
Posted 9 days ago
University Of Alabama rating
7.1
Based on 60 frontline employees who took The Breakroom Quiz
Job description
214271 - Mechanical Engineering
RankProfessor
Position SummaryThe Department of Mechanical Engineering (ME) and the Lee J. Styslinger Jr. College of Engineering (SCOE) at The University of Alabama invite applications for faculty positions at the rank of Professor within the department. Candidates with research interests across mechanical engineering, manufacturing and industrial engineering, are encouraged to apply. Candidates with particular research emphasis and interests in the areas of: (1) Biomechanics and Biosystems Engineering, (2) Robotics and Mechatronics, (3) Sustainable Energy, Clean Energy, and Combustion, (4) Advanced Manufacturing including Integrated and Interconnected Systems, (5) Multi-scale Computation and Simulation, (6) Micro/Nanoscale Systems and Engineering, and (7) Production Planning and Control are of particular interest for one or more of these positions and thus are strongly encouraged to apply.
Detailed Position InformationThe Department of Mechanical Engineering (ME: https://me.eng.ua.edu/) and the SCOE (CoE: https://eng.ua.edu/) at The University of Alabama (UA: https://ua.edu/) invite applications for tenure-track and tenured faculty positions at all ranks, including Assistant, Associate, and Professor levels. This posting is specific for candidates applying for a position at the rank of Professor. Applications from candidates with appropriate experience and a strong record of scholarly productivity and impact who would seek appointment at the rank of tenure-track Assistant or Associate Professor should apply through related postings advertised at those other position/rank levels. Candidates with prestigious achievements in their field and exceptional national and international reputations will be eligible for consideration for significant endowment support through appointment as an Endowed Shelby Distinguished Professor (https://provost.ua.edu/the-shelby-endowment-for-distinguished-faculty/). The Endowed Shelby Distinguished Professorship is one of the most prestigious honors bestowed upon faculty at The University of Alabama. Candidates wishing to be considered for such an appointment should indicate this in their cover letter. Towards achieving excellence in all our efforts, the ME department and the College of Engineering seek to hire faculty that can contribute to both: (1) build upon existing strengths in the Department, College, and University and (2) expand the scope of research within the department, College, and UA as a whole. We are seeking candidates whose research combines mechanical and/or manufacturing & industrial engineering fundamentals with machine learning, artificial intelligence, autonomy, digital twins, advanced manufacturing, intelligent production, operations research and data analytics, robotics, sustainable energy, combustion, computational engineering, and next-generation materials.
Strategic Growth Areas Biomechanics and Biosystems Engineering- Human-centered engineering and digital health
- Biomechanics, rehabilitation, and assistive technologies
- AI-enabled physiological modeling and prediction
- Machine learning for biomechanics, injury prediction and wearable technologies
- Precision agriculture and biological systems engineering
- Intelligent robotics and autonomous machines
- Human-robot interaction and collaboration
- AI-driven sensing, perception, and control
- Multi-agent and distributed robotic systems
- Embodied intelligence and cyber-physical systems
- Next-generation energy systems and decarbonization
- Zero-carbon and Sustainable fuels, advanced combustion
- Energy system optimization and resilience
- Data-driven diagnostics, monitoring, and control
- Physics-informed machine learning for energy applications
- Future mobility, autonomous transportation and smart infrastructure
- Smart manufacturing and industrial AI
- Production planning and control
- Operations Research and data analytics
- Machine learning for operations
- Simulation, digital twins and digital engineering
- Additive manufacturing and advanced process control
- Autonomous production systems
- Integrated and interconnected manufacturing ecosystems including human-machine interfaces
- Multi-scale modeling and simulation
- High-performance computing and computational science
- AI-accelerated engineering analysis and design
- Physics-informed machine learning
- Uncertainty quantification and predictive engineering
- MEMS/NEMS and micro/nanoscale devices
- Advanced sensing and actuation
- AI-guided materials discovery and design
- Functional and adaptive materials
- Micro/nano manufacturing and characterization
The ME department offers an ABET-accredited B.S. in Mechanical Engineering undergraduate degree, and more recently in 2022, added a B.S. in Manufacturing Systems Engineering and a forthcoming B.S. in industrial systems engineering. The department has a sustained total enrollment of more than 1500 BSME students. The ME department also has active M.S. and Ph.D. programs in, supporting both residential and distance education students, with a total sustained graduate enrollment of more than 185 students.
The Department of Mechanical Engineering and the College of Engineering consider teaching, research, and service as the three critical and complementary portions of their overall mission. Candidates must demonstrate experience and the ability to successfully lead and extramurally fund a highly productive research program with significant scholarly impact in a focus area with long term potential to further build upon the rapid rise and great success of the Mechanical Engineering department and the College of Engineering. An ability to collaborate with existing faculty in the key focus areas both within the Mechanical Engineering Department and the College of Engineering, as well as potential colleagues across the campus, is also highly desirable. Candidates must also demonstrate an ability to provide an excellent educational experience to our students; therefore, they are expected to develop and teach classes at both the undergraduate and graduate level in the faculty member’s area(s) of expertise as well as to teach courses that support the delivery and accreditation of the Department’s core degree programs.
The department, college and university are also notable for the collegial, welcoming and supportive spirit built into the fabric of who we are and how we interact across our College family of students, faculty, and staff. It is therefore expected that candidates will demonstrate an ability to support this important aspect of our community.
Appointments to the faculty of The University of Alabama are based on the personnel requirements of the University’s academic programs and on the goal of achieving and maintaining excellence in its teaching, research, and service/academic citizenship activities.
Minimum QualificationsEarned Ph.D. in Mechanical Engineering or Industrial & Manufacturing Engineering or a closely related discipline from an accredited institution. Demonstrated record of prior research work and a record of impactful scholarly publications in refereed journals, conference proceedings, and similarly impactful venues. Demonstrated interest and/or record in mechanical engineering education and professional service in area(s) of specialization. Effective verbal and written communication skills. Demonstrated sustained leadership of a nationally and internationally recognized research program with significant scholarly impact and external funding. Exhibit the potential for excellent teaching at both the graduate and undergraduate levels. Applicants must also meet all university criteria for appointment to the rank of Full Professor.
Preferred QualificationsHave 10+ years of experience as a tenured/tenure-track faculty member at a leading peer R1 institution. Have a demonstrated record of high-quality research and scholarly publications that is recognized nationally and/or internationally. Significant record of scholarship in an engineering department with undergraduate and graduate degree programs. Exceptional communication and interpersonal skills.
Instructions and Required Materials for ApplicationRequired application documents include a: (1) cover letter that includes both the department name and rank of position for which the candidate is applying, (2) a resume/curriculum vitae, (3) a two page statement of research interests and plans, (4) a one to two page statement of teaching interests and plans, and (5) the names and contact information for at least four references. Review of applications will begin immediately. Applications are preferred on or before October 1, 2026 to receive fullest consideration, but the search will continue until the positions are filled. A position start date of August 16, 2027 would be typical, but flexibility with respect to start date is possible. Questions about the position can be directed to me-search@eng.ua.edu. The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. Candidates from under-represented groups are encouraged to apply.
About the Division/College/SchoolAs the premier flagship university for the state of Alabama and as one of the first five universities in the nation to offer engineering instruction, The University of Alabama (UA) has more than 175 years of proud engineering history. UA’s Lee J. Styslinger Jr. College of Engineering is committed to conducting cutting-edge research that advances the frontiers of science and engineering, translating such fundamental advancements through applied research and technology commercialization into impactful solutions which improve the human condition and address the challenges facing humankind, and using that immersive research environment to provide unparalleled educational experiences and opportunities for our students at both the undergraduate and graduate levels. As a College, we pride ourselves on educating and preparing the next generation of engineering and computer science scholars and professionals who will positively shape the future around us. Through our educational, research, and service activities that support our overall vision to be one of the most impactful engineering programs in the nation, our College continues to provide leadership in the many professional disciplines represented by our College and to the community, state, and nation as we advance our professions, the economy, and the lives of all those whom we serve.
The UA College of Engineering is comprised of seven departments: Aerospace Engineering and Mechanics, Chemical and Biological Engineering, Civil, Construction, and Environmental Engineering, Computer Science, Electrical and Computer Engineering, Mechanical Engineering, and Metallurgical and Materials Engineering. These departments currently deliver 13 different undergraduate and 15 different graduate degree programs. Overall, the College enrolls approximately 6,000 students, making it one of the largest colleges out of the more than 40,000 students on UA’s campus.
While the university has been on a constant mission to advance in every aspect of its operations since its inception, UA has in particular seen transformative growth in its research enterprise and impact over the past decade. Through the efforts of The University, UA Office of Research and Economic Development (ORED), College of Engineering and its’ centers, departments, and faculty, UA’s research enterprise has surged dramatically higher in the last five to ten years. This recent and continuing steep growth rate of research has positioned UA as one of the fastest growing research institutions in the nation. More specifically, the UA College of Engineering has seen annual research awards and expenditures grow at an average of more than 25% per year for more than the last 5 years, now surpassing $100 million annually in new research awards. By more than doubling research over the past 5 to 7 years, the size of the graduate programs across the College has doubled as well. The continued ambitious growth of research programs amongst our existing faculty and research centers combined with the recent significant additions of a large number of new tenure-track and tenured faculty, particularly the addition of more than 60 such new highly research active faculty over the past three years, has positioned the UA College of Engineering for maintaining this steep trajectory of research growth and impact well into the future.
The educational activities of the College of Engineering and its constantly increasing volume of impactful research are enabled and supported by a tremendous combination of amazing faculty and staff, an outstanding array of modern new facilities that are the envy of its peers, and a world-class student body at both the undergraduate and graduate levels. The College currently has more than 185 faculty members, and has as mentioned earlier seen the addition of significant number of new faculty over the past three years with more than 75 new faculty joining the College in that time period and plans to hire an additional 20 to 30 faculty this year as well. In terms of facilities, the College of Engineering has one of the largest overall footprints of any college at UA, currently occupying all or significant portions of 17 different facilities across campus. Some of the most recent additions to that space are the state-of-the-art facilities provided for many of the College’s departments in the recently completed Shelby Science and Engineering Quad that was built at a cost approaching $400 million.
In addition to the traditional engineering departments and their facilities, there are also more than 8 different major research centers housed within the College that span and support a wide-ranging set of research thrust areas including artificial intelligence, cybersecurity, additive manufacturing, advanced materials, functional polymers and soft matter, water resources and water technology, advanced transportation and vehicle technology, and more. These centers bring together faculty from across the College and the University to capitalize on emerging technological opportunities and to ta
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Tuscaloosa, AL, US
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