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Phd Machine Learning Jobs in Lancaster, PA (NOW HIRING)

Minimum 5 years of work experience in Data Science, or a PhD in math, statistics, economics, or a ... Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects. * You ...

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

Minimum 2 years of work experience in Data Science, or a PhD in math, statistics, economics, or a ... Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects. * You ...

Phd Machine Learning information

See Lancaster, PA salary details

$13

$22

$30

How much do phd machine learning jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for phd machine learning in Lancaster, PA is $22.18, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $24.76 per hour, depending on experience, location, and employer.

What is a PhD in Machine Learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional, and why are they important?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

What cities near Lancaster, PA are hiring for Phd Machine Learning jobs? Cities near Lancaster, PA with the most Phd Machine Learning job openings:
Infographic showing various Phd Machine Learning job openings in Lancaster, PA as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $46,131 per year, or $22.2 per hour.

Assistant Professor of Civil Engineering + AI

Penn State University

Middletown, PA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

225th of 613 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
POSITION SPECIFICS
Position: Assistant Professor of Civil Engineering with Artificial Intelligence and Machine Learning Enabled Construction Engineering
Position Summary: Civil engineering is being transformed by AI and machine learning to improve construction and operation of both horizontal and vertical infrastructure. As a part of a cluster hire, this tenure-track position will play a leading role in the transformation of the construction engineering courses and research within the Civil, Construction, and Environmental Engineering program at Penn State Harrisburg. The successful candidate will contribute to our efforts to create a welcoming and inclusive learning environment for students, foster robust, collaborative research, and engage in service activities supporting institutional goals.
Responsibilities: The primary responsibilities of the Assistant Professor in Civil Engineering include the following:
Teaching: The candidate will be expected to teach 6 credit hours per semester for the first two years and 9 credits per semester after the 2nd year. Teaching assignments may be reduced based on research productivity. Teaching responsibilities include undergraduate and graduate courses in Civil Engineering and Construction Engineering. Relevant topics may include construction scheduling, cost estimating, construction management principles, BIM, ethics in engineering and construction, value engineering, sustainable infrastructure including modern building materials, and smart cities technologies. Introduction of AI into many of these courses supports Penn State's goal of producing AI literate students in all disciplines starting fall 2026.
Faculty will be expected to teach in both the residential BS and MS degree programs in Civil Engineering and Structural Design and Construction Engineering Technology. Faculty also may be asked to teach in the engineering PhD program. Faculty also will be expected to participate in recruitment and retention activities, advise both undergraduate and graduate students, and supervise graduate student culminating experiences.
Research: The candidate will contribute to our growing emphasis on smart cities, sustainability, and resilient infrastructure. This role will focus on AI-driven solutions in Building Information Modeling (BIM), construction automation, and digital twin technologies to achieve resilience. The successful candidate will have opportunities to support smart city initiatives, optimize energy usage in buildings, and reduce carbon emissions through intelligent systems. Collaboration across engineering, computer science, and environmental disciplines is encouraged to advance sustainable and resilient infrastructure.
Service: Faculty are expected to serve on committees at the department, school, and college level so that the mission of the college and university are advanced. Professional service activities are supported and expected by all faculty. Faculty are also expected to actively promote and advance the school's steadfast commitment to inclusive education and improve the range of voices in STEM to their professional and the regional community of south-central Pennsylvania.
Qualifications: To be considered for the Assistant Professor in Civil Engineering, candidates should possess the following qualifications:
Education: Candidates must have an earned doctorate by the appointment start date in construction engineering, civil engineering, or a closely related field.
Expertise: The successful candidate will have a background in construction engineering, construction engineering with emphasis on the use of AI, Machine Learning, and/or other advanced technologies to address the challenges of construction regarding project scheduling, estimating, safety, building codes and contracts, construction economics, project management, ethics and professionalism, or building information modeling.
Application Process: To apply for the Assistant Professor in Civil Engineering, please visit Penn State's Human Resources website hr.psu.edu/careers and submit the following documents:
Cover Letter: The cover letter should include the candidate's interest in the position, a brief summary of their qualifications, and how they have incorporated inclusive excellence in their educational experiences.
Curriculum Vitae: The curriculum vitae should highlight the following: the candidate's education, teaching, professional experience, research, and service to their prior educational institutions, their communities, and the profession.
Teaching Philosophy: Candidates must submit a statement of teaching philosophy that highlights past experience and future plans for their teaching and that addresses their strategies for promoting inclusive excellence in the classroom.
Research Philosophy: Candidates must submit a statement of research philosophy that addresses research interest, past accomplishments and future goals with emphasis on the use of AI in construction engineering and management.
Professional References: Candidates must submit a list of three professional references with contact information.
System limitations allow for a total of 5 documents (5mb per document) as part of your application. Please combine materials to meet the 5-document limit.
Review of applications will begin immediately and continue until the position is filled. For additional questions, please contact: Dr. Sofia Vidalis, Search Chair, at smv11@psu.edu.
About Penn State/The College/ The School:
Penn State Harrisburg is a campus of the Pennsylvania State University, the Commonwealth of Pennsylvania's land-grant institution, serving more than 85,000 students. Penn State Harrisburg, the Capital College, enrolls 4,600 students in residential instruction and an additional 1,000 students in programs delivered online via the University's World Campus. Penn State Harrisburg offers two associate, 35 baccalaureate, 25 Master's, and three doctoral degrees. The college also offers the first two years of study leading to more than 275 baccalaureate majors available throughout Penn State. Additionally, the campus participates in nine online degree offerings (six graduate and three undergraduate) through Penn State World Campus, and offers accelerated undergraduate/graduate programs, joint degrees in collaboration with Penn State Dickinson Law and the Penn State College of Medicine, and continuing education opportunities.
The School of Science, Engineering, and Technology is the largest school at Penn State Harrisburg. The School offers undergraduate degrees in computer science, engineering (civil, mechanical, and electrical), mathematical sciences, biology, and integrated sciences, as well as degrees in engineering technology in the areas of electrical, mechanical, and structural design and construction engineering technology. We also offer residential master's degrees in computer science, civil, mechanical, and electrical engineering and an online master's professional degree in electrical engineering. The computer science, and the civil, mechanical, and electrical engineering programs have accelerated undergraduate/graduate degrees leading to both the BS and MS in 5 years. In Fall 2023, the School launched a PhD program in Engineering Systems and will be participating in a university-wide online computer science program launching in Fall 2025. The successful candidate will be joining a faculty of approximately 80 full-time faculty and 12 full-time staff. Faculty and staff are members of various professionally oriented organizations. The School has student chapters of organizations such as the American Society of Civil Engineers, Professional Engineers and Contractors, Society for Women Engineers, National Society for Black Engineers, Society for Hispanic Professional Engineering, and Women in Technology, in addition to the Computing and AI Club.
For more information about Penn State Harrisburg, please visit the college's website at harrisburg.psu.edu.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional wellbeing. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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