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Temporary Machine Learning Postdoc Jobs in Michigan

... machine learning analyses. Please read more about our research at www.apostolideslab.org . Key ... for postdoctoral fellows. We are committed to mentoring the next generation of scientists, and ...

CNC Machinist - 3rd Shift

Dundee, MI

$19.25 - $26.50/hr

Monitor machine performance and conduct routine preventative maintenance. * Area Organization ... Learning and Development: We empower all our Associates - from entry-level to senior-level - with ...

CNC Machinist - 3rd Shift

Dundee, MI · On-site

$19.25 - $26.50/hr

Monitor machine performance and conduct routine preventative maintenance. * Area Organization ... Learning and Development: We empower all our Associates - from entry-level to senior-level - with ...

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Temporary Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Postdoc, and why are they important?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in Michigan? The most popular types of Machine Learning Postdoc jobs in Michigan are:
What are popular job titles related to Temporary Machine Learning Postdoc jobs in Michigan? For Temporary Machine Learning Postdoc jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Michigan look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Michigan are:
What cities in Michigan are hiring for Temporary Machine Learning Postdoc jobs? Cities in Michigan with the most Temporary Machine Learning Postdoc job openings:
Postdoctoral Scholar

$58K - $60K/yr

Full-time

Posted 17 days ago


Michigan Technological University rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

131st of 538 rated colleges and universities


Job description

Postdoctoral Scholar
Job No: 26083
Department: Civil, Environ & Geospatial Engrg
Work Type: Staff - Full Time
Location: Main Campus (Houghton, MI)
Full Time / Part Time: Full Time
Categories: Engineering, Research, Computer Science
Applications Close: 20 Jul 2026 Eastern Daylight Time
Ensured Consideration Date: July 20th 2026
Michigan Technological University is an R1 technological research university founded in 1885 in Houghton. Our rural campus is situated just miles from Lake Superior in Michigan's scenic Upper Peninsula and is home to nearly 7,500 students from more than 60 countries around the world. Consistently ranked among the best universities in the country for return on investment, Michigan's flagship technological university offers more than 185 undergraduate and graduate degree programs. Research focus areas include defense, health, energy, automotive, environment, and aerospace.
The area's waters, forests, and snowfall support year-round recreation, including skiing, snowboarding, hiking, biking, and paddling. The University is an integral part of the region, supported by a friendly and welcoming community that takes pride in being a true college town. We embrace our size, climate, sense of adventure, and originality.
Summary
The Computing and Robotic Construction Laboratory at the Department of Civil, Environmental, and Geospatial Engineering, Michigan Technological University invites applications for a Postdoctoral Research Associate. The successful candidate will contribute to research projects focused on advancing automation, artificial intelligence, robotics, sensing, data analytics, and digital technologies for construction engineering and management. The postdoctoral researcher will work with an interdisciplinary team to develop and evaluate innovative methods, tools, and systems that improve construction safety, productivity, quality, and workforce development. The position will involve conducting research, preparing publications and proposals, mentoring students, supporting project activities, and collaborating with academic, industry, and community partners.
Responsibilities and Essential Duties
• Conduct research in construction automation, artificial intelligence, robotics, sensing, data analytics, and digital construction technologies.
• Support research related to construction safety, productivity, quality,
• workforce development, human-technology interaction, infrastructure
• management, and intelligent construction systems.
• Prepare journal papers, conference papers, technical reports, project
• documentation, and research presentations.
• Contribute to proposal development and future funding opportunities.
• Collaborate with faculty, students, external researchers, industry partners, community stakeholders.
Required Education, Certifications, Licensures
• PhD in construction engineering, civil engineering, computer science, robotics, electrical engineering, mechanical engineering, industrial engineering, data science, information science, or a closely related field.
Required Experience
• Research experience in one or more areas related to construction automation, artificial intelligence, robotics, sensing, data analytics, cyberinfrastructure, digital construction, or infrastructure systems.
• Experience preparing research publications, technical reports, or project documentation.
• Programming, modeling, simulation, system development, or data analysis
• experience using tools such as Python, MATLAB, C/C++, ROS, JavaScript, R, or similar platforms.
• Ability to work independently and collaboratively in a research environment.
Required Knowledge, Skills, and/or Abilities
• Strong research, analytical, programming, technical writing, and problem-solving skills.
• Ability to conduct independent research and contribute to interdisciplinary projects.
• Ability to prepare high-quality manuscripts, reports, documentation, proposals, and presentations.
• Strong communication, teamwork, time-management, and organizational skills.
• Commitment to responsible research, reproducible methods, ethical AI, and safe technology development.
Desirable Knowledge, Skills, and/or Abilities
• Knowledge of construction engineering, construction management, infrastructure systems, digital construction, automation, or robotics.
• Knowledge of artificial intelligence, machine learning, computer vision,
• sensing, data analytics, simulation, human-technology interaction, or cyberinfrastructure.
• Knowledge of construction safety, productivity analysis, quality control, project monitoring, prefabrication, modular construction, or infrastructure management.
• Familiarity with GitHub, Docker, ROS, cloud computing, databases, APIs, BIM platforms, simulation tools, sensors, or robotic hardware.
• Ability to engage with academic, industry, government, and professional-society stakeholders.
Required Training and Other Conditions of Employment
Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department.
Required University Training:
• Employee Safety Overview
• Anti-Harassment, Discrimination, Retaliation Training
• Annual Data Security Training
• Annual Title IX Training
Background Check:
Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.
Full-Time Equivalent (FTE) % (1=100%)
1
FLSA Status
Exempt
Appointment Term
12 months
Shift
Pay Rate/Salary
The salary range for this position is $58,000 - $60,000. However, the final salary will depend on experience and qualifications.
Title of Position Supervisor
Professor
Posting Type
Internal & External
Dependent on Funding
Yes
Additional Information
This position is contingent upon the continued availability of external funding.
Full ensured consideration will be given to applicants who apply on or before July 20th 2026.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
If you require any auxiliary aids, services, or accommodations during Michigan Tech's hiring process please notify the Human Resources office at 906-487-2280 or hr-help@mtu.edu.
Other Conditions of Employment:
Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of your appointment, and maintain eligibility without sponsorship throughout your appointment.
Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. Michigan Tech will provide a paper copy upon request; please contact the Michigan Tech Public Safety.
In compliance with the federal Drug-Free Schools and Communities Act (DFSCA) and its implementing regulations (34 CFR Part 86), Michigan Tech is committed to maintaining a drugfree campus environment and actively promoting the health and safety of its community. Find our notice that outlines the University's policies, legal sanctions, health risks, and available support resources related to the unlawful possession, use, or distribution of illicit drugs and alcohol.
Required Education, Certifications, Licensures* (minimum requirements)
Advertised: 03 Jun 2026 Eastern Daylight Time
Applications Close: 20 Jul 2026 Eastern Daylight Time
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