Fellow jobs in Pittsburgh, PA - 31 jobs

The Lane Fellow Program recognizes and supports scientists of outstanding intellect who are dedicated to a career at the interface of computational and biological sciences so that they can pursue postdoctoral research in the rich computational environment at Carnegie Mellon. It is named in honor of Ray and Stephanie Lane, whose generous donation enabled the creation of the original Lane Center for Computational Biology, the forerunner of the Computational Biology Department. Absent special circumstances, applicants must have received their doctoral degree after August 1, 2023 or be expected to receive their degree by August 1, 2024. Candidates who have done prior Ph.D. or postdoctoral work at Carnegie Mellon are not normally considered. Applications received by March 1, 2024 will receive full consideration, but those received at other times may be considered on a case-by-case basis. Candidates should submit their Curriculum Vitae; a statement of research that describes the significance of their past work, their qualifications for interdisciplinary work, and their future interests and career goals; and the names and email addresses of two or more individuals whom the applicant has asked to provide letters of reference (it is the responsibility of the candidate to ensure that the letters are sent). All materials should be submitted here (%***********************************) . After initial review, some applicants will be chosen as finalists and invited to interview in person or via telephone. As part of this process, finalists will be responsible for identifying a Computational Biology faculty member who is willing to serve as their research advisor. Over the course of their fellowship, fellows are expected and encouraged to transition to independence by developing their own research program to take with them when they become independent investigators. Lane Fellows will be selected for a three-year appointment beginning approximately August 1, 2024. They will receive a stipend of $65,000, benefits including medical, dental, vision and life insurance, and a professional support allocation of $3,000 to cover items such as purchase of a laptop computer, travel to conferences, membership in relevant professional societies, and journal subscriptions. **Equal Employment Opportunity Statement** **Carnegie Mellon University** is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

Job Description Motional is seeking a distinguished Machine Learning Engineer to join its Autonomy team in Behaviors. As a member of our team you will develop key features for our autonomous driving platform. In this role, you will apply machine learning to a mix of prediction, planning, and control problems. The candidate is required to have hands-on experience and deep knowledge in machine learning. Understanding of deep neural networks, autonomous vehicles, and domain adaptation is highly desirable. You should have strong research, SW development, communication, interpersonal, and analytical skills. What you'll be doing: Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for Motional's Autonomous Vehicle products. Leading, Designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data. Partnering with system software engineering specialists to ship industrial strength ML models. Communicating and collaborating with multi-functional teams. What We're Looking For: BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience) 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications Deep understanding of large language models (LLM) and transformers Hands on experience building large scale production ML systems and deploying them at scale Excellent leadership and track record for innovation to help us build the next generation of our ML based planning solutions Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.). Excellent understanding of the mathematical foundations of machine learning and deep learning. Bonus Points: Prior experience as a ML planning lead Proven publication record in ML for planning, vision, or related fields Prior experience building and deploying vision language action or chain of thought models The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$271,000-$373,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit **************** and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

For full consideration, applications should be received by February 15th As part of a three-year project funded by the John Templeton Foundation, we seek to hire one or more predoctoral fellows in the study of science, mathematics, and philosophy of mathematical discovery. This predoctoral fellowship is resident, in person, and full-time at Carnegie Mellon University in Pittsburgh, Pennsylvania, USA. The salary is $35,700/year and includes health insurance. The minimum time commitment for this fellowship is fourteen weeks (3.5 months), and up to one year in duration on initial appointment. Health insurance, relocation costs, and other benefits are included. Citizenship unrestricted, and international travel assistance is available. This is an ideal position for someone interested in building research experience and a strong portfolio before applying for Ph.D. positions. Fellows in previous years have gone on to great things and a variety of Ph.D. careers ranging from cognitive science, computer science, and organizational behavior to economics, biophysics, sociology, political theory, and theology, and include winners of the NSF Graduate Research Fellowship, the Hertz Graduate Fellowship, the SBS Foundation Graduate Fellowship for Future Talent, and the Rhodes Scholarship. Our project has three main themes; ideal candidates will have an interest in one or more of these themes. Theme 1: Proofs in Practice: the cognitive science and psychology of how humans discover and make sense of mathematical proofs, both as individuals and collectives. How do people prove things? Theme 2: Transcendental Structures: the formal study of mathematical proof itself, as a subject in computational complexity, type theory, metamathematics, logic, and beyond. What is the space of mathematical truth, and what proofs are there to be discovered? Theme 3: Cyborg Proofs: the use of artificial intelligence in both discovering and verifying mathematical proofs, with and without human aid. What kinds of tools can we build, and how will they alter the nature of mathematics? Applicants: to be considered for this position, please submit the following. You can submit these statements and documents as files with your application (PDF or Word): A short research statement (no more than two pages, not including references; 12-point font, 1-inch margins). This statement should cover, (A) a brief summary of your research interests, prior experience, and achievements to date - this need not be tailored to this position; (B) an account of your interests in, ideas about, and potential contributions to, one or more of the themes above - this can be as referenced or as speculative as you like. An academic CV, including a list of between one and three people (name, e-mail, and affiliation) who can serve as academic references -- for example, your undergraduate advisor, or the supervisor for a research project you've been involved with. Your CV should include your date of graduation. Core Responsibilities Aid in novel scientific, mathematical, and philosophical research into the nature of mathematical understanding, under the supervision of Project Lead Simon DeDeo. Help publish and share this research with the wider academic community, including conducting experiments, gathering, visualizing, and analyzing data, aiding in the writing up of research for publication, and in handling referee reports. Work collaboratively with other members of the project, as consonant with their joint intellectual interests. This job does not involve teaching and has no teaching responsibilities Qualifications Predoctoral fellows should have received, or expect to receive, a Bachelor's or Master's degree before beginning this position but should not have yet begun their Ph.D. work. In exceptional circumstances, we can consider a Summer appointment for those who will not have received their BA before June 2026. Fellows should have a background, advanced undergraduate classwork, strong interests, and ideally some research experience, in one or more of the following fields: Cognitive science Psychology Computer Science Mathematics Philosophy We are also open to considering other fields as well. Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today! Location Pittsburgh, PA Job Function Pre/Post-Doctoral Associates & Fellows Position Type Postdoctoral Associate / Fellow (Fixed Term) Full Time/Part time Full time Pay Basis Hourly More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

Salary: Commensurate with experience Benefits: Generous benefits include paid time off including holidays and vacation, retirement match, and tuition remission for employee and dependents. Details at ******************** Position Status: Full-time (Grant funded) Hours: Varied Position Number: 360431/10-1130 FLSA Status: Exempt POSITION SUMMARY: The primary purpose of this position is to provide high level staffing for the research activities in the Lampe lab in the department of biological sciences. The postdoc position provides high-level independent research capability to drive the research related to the goals of the grant. This is a grant funded position. DUTIES AND RESPONSIBILITIES: Design of experiments related to creating strains of bacteria that can kill malaria parasites in mosquitoes. This includes designing, building, and testing the genetic constructs that mediate these properties. It also includes genetic manipulations to the bacterial chromosome and testing the resulting strains for efficacy. DNA cloning, genome modifications to bacterial, DNA sequencing, strain assembly, strain fitness measurements, western blotting and ELISA to measure protein secretion. Publication of results in scientific journals. Supervision of undergraduates and technician as appropriate. Completes other duties as assigned. SUPERVISORY RESPONSIBILITIES: Guides/supervises the work of others. REQUIREMENTS: Minimum qualifications: PhD in biology or vector biology from an accredited institution. Extensive experience required with DNA cloning, microbiology, protein biochemistry, DNA sequencing, and genetic construct design. Preferred qualifications: Experience preferred with writing results and supervising some junior personnel. Alternately, the successful candidate may possess any equivalent combination of experience and training, which provides the knowledge, skills and abilities required to perform the essential job functions. This includes, but is not limited to, the following: Experience with DNA cloning, basic microbiology, basic protein work, ELISA, etc. Superior communication skills. Ability to supervise. Ability to establish and maintain effective working relationships with the University Community. Ability and willingness to contribute actively to the mission of the University and to respect the Spiritan Catholic identity of Duquesne University. The mission is implemented through a commitment to academic excellence, a spirit of service, moral and spiritual values, sensitivity to world concerns, and an ecumenical campus community. APPLICATION INSTRUCTIONS: Applicants are asked to submit a cover letter, resume, and contact information for three professional references. Duquesne University was founded in 1878 by its sponsoring religious community, the Congregation of the Holy Spirit. Duquesne University is Catholic in mission and ecumenical in spirit. Motivated by its Catholic identity, Duquesne values equality of opportunity both as an educational institution and as an employer.

Motional is seeking a distinguished Machine Learning Engineer to join its Autonomy team in Behaviors. As a member of our team you will develop key features for our autonomous driving platform. In this role, you will apply machine learning to a mix of prediction, planning, and control problems. The candidate is required to have hands-on experience and deep knowledge in machine learning. Understanding of deep neural networks, autonomous vehicles, and domain adaptation is highly desirable. You should have strong research, SW development, communication, interpersonal, and analytical skills. What you'll be doing: Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for Motional's Autonomous Vehicle products. Leading, Designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data. Partnering with system software engineering specialists to ship industrial strength ML models. Communicating and collaborating with multi-functional teams. What We're Looking For: BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience) 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications Deep understanding of large language models (LLM) and transformers Hands on experience building large scale production ML systems and deploying them at scale Excellent leadership and track record for innovation to help us build the next generation of our ML based planning solutions Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.). Excellent understanding of the mathematical foundations of machine learning and deep learning. Bonus Points: Prior experience as a ML planning lead Proven publication record in ML for planning, vision, or related fields Prior experience building and deploying vision language action or chain of thought models The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$271,000-$373,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit **************** and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

The Department of Mathematical Sciences at Carnegie Mellon University invites applications for a two-year postdoctoral position to begin on September 1, 2026. The position is focused on applied analysis and related areas of applied and computational mathematics. The position is connected to the NSF RTG grant "Frontiers of Applied Analysis". Consequently only U.S. citizens, nationals, and permanent residents are eligible. Depending on the expected continuation of funding and performance, the position may be extended to the third year. **Qualifications** Ph.D. in mathematics or a closely related discipline is required. Preference will be given to candidates who have shown outstanding promise and/or excellent accomplishments in research in a broad spectrum of applied and computational mathematics. This includes PDE, calculus of variations, probability and stochastic analysis, numerical analysis, and scientific machine learning. Interest in interdisciplinary efforts is also valued. Commitment to and experience in teaching and mentoring student research are also desirable. **Application Instructions** Applicants should submit all materials electronically through both Interfolio and MathJobs. This includes a cover letter, a curriculum vita, a list of publications, a statement describing current and planned research, and a teaching statement. Candidates should also arrange for at least three letters of recommendation that will be solicited through MathJobs. The review applications will begin on November 15, 2025. However, applications may be accepted and reviewed until the position is filled. **Equal Employment Opportunity Statement** **Carnegie Mellon University** is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

For full consideration, applications should be received by December 10th. As part of a three-year project funded by the John Templeton Foundation, we seek to hire three postdoctoral fellows in the study of science, mathematics, and philosophy of mathematical discovery. Our project has three main themes; ideal candidates will have an interest in one or more of these themes. Theme One: Proofs in Practice: the cognitive science and psychology of how humans discover and make sense of mathematical proofs, both as individuals and collectives. How do people prove things? Theme Two: Transcendental Structures: the formal study of mathematical proof itself, as a subject in computational complexity, type theory, metamathematics, logic, and beyond. What is the space of mathematical truth, and what proofs are there to be discovered? Theme Three: Cyborg Proofs: the use of artificial intelligence in both discovering and verifying mathematical proofs, with and without human aid. What kinds of tools can we build, and how will they alter the nature of mathematics? Applicants: to be considered for this position, please submit the following. You can submit these statements and documents as files with your application (PDF or Word): (1) a short research statement (two pages or so, not including references; 12-point font, 1-inch margins). This statement should cover, (A) a brief summary of your research interests, achievements, and discoveries to date - this need not be tailored to this position; (B) an account of your interests in, ideas about, and potential contributions to, one or more of the themes above - this can be as referenced or as speculative as you like. (2) a peer-reviewed publication from the last five years that represents work you are particularly proud of, any content. If you have no peer-reviewed publications, a pre-print is sufficient. (3) a peer-reviewed publication, or pre-print, that most closely relates to the themes of this project - broadly conceived. (4) an academic CV, which must include a list of three people (name, e-mail, and affiliation) who can serve as academic references. (5) a brief cover letter, including a statement of interest, your future career goals, and either (1) the date you were awarded your Ph.D., or (2) the date you expect to graduate from your Ph.D. Fellowship Overview: This fellowship is a three-year position, resident, in person, and full time at Carnegie Mellon University in Pittsburgh, Pennsylvania, USA. The salary is $78,000/year and includes health benefits. Citizenship unrestricted, and international travel assistance is available. Fellows work independently under the mentorship of the project director, Prof. Simon DeDeo, and a board of advisors in mathematics (Akshay Venkatesh, Michael Harris, Simon Rubinstein-Salzedo), computer science (Dana Randall, Scott Aaronson), cognitive science (Thalia Wheatley, Tyler Marghetis, Carina Curto), and philosophy (Edouard Machery, Nick Stang, Sean Carroll). The director and the board work together to help mentor the fellows, promote their research, and develop their careers. As part of the interdisciplinary goals of this project, fellows are funded to spend at least one semester working with someone outside of their home domain. This can be with faculty in Pittsburgh, at either CMU or the University of Pittsburgh; fellows have the opportunity, if desired and on mutual agreement with their host, to visit and collaborate with one of our board of advisors, or with another scholar. Offsite visits include funding for travel and lodging. Research Fellow Job Responsibilities Conduct novel scientific, mathematical, and philosophical research into the nature of mathematical understanding, including, depending on their interests, conducting psychological experiments, developing novel mathematics, inventing new algorithms, and making new philosophical arguments. Publish and share this research with the wider academic community. Help organize, once during their three years, a yearly workshop on project themes held either in Pittsburgh, Princeton, or Santa Fe. Collaborate with other fellows, as consistent with their intellectual goals, in truly interdisciplinary research, and to help mentor graduate students and undergraduate researchers, as consistent with their intellectual goals. This job does not involve teaching and has no teaching responsibilities Qualifications Fellows should have a background and publication record in one or more of the following fields: Cognitive Science, Psychology, Computer Science, Mathematics or Philosophy PhD Degree We are particularly interested in candidates with demonstrated abilities to conduct interdisciplinary work across these fields, with an interest in collaborating, at least some of the time, with people outside of their Ph.D. training. We are also open to considering other fields as well. Additional Information: Sponsorship: Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon. Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today! Location Pittsburgh, PA Job Function Pre/Post-Doctoral Associates & Fellows Position Type Postdoctoral Associate / Fellow (Fixed Term) Full Time/Part time Full time Pay Basis Salary More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

Company :Allegheny Health Network : Research Fellow is a full-time temporary advanced scholarly appointment (not to exceed five years) to conduct advanced independent and/or directed research programs. The research fellow will conduct translational research projects at the direction of the principal investigator or program director. The role of a research fellow requires detailed knowledge of a technical field, process, or discipline. Work shall include developing, implementing, and executing research plans, data collection and analysis as well as documenting research findings in concise yet complete technical reports. A research fellow must be able to rapidly identify trends in data or shortcomings in experimental design, so that random adjustments may be made without the direct daily supervision of a principal investigator. The Research Fellow in this role will... Oversee clinical research operations including database management, data collection, and regulatory compliance (IRB preparation, submission, and reporting) Coordinate and manage laboratory activities, ensuring smooth execution of ongoing projects, task delegation, and workflow organization Contribute to scholarly output by assisting with grant writing, proposal submissions, and manuscript preparation Develop and implement experimental paradigms and tasks for active clinical research studies, including participant administration and data acquisition Support long-term research strategy through project tracking, resource management, and cross-disciplinary collaboration ESSENTIAL RESPONSIBILITIES: Conduct high fidelity experimentation in line with the objectives of the research program. (40%) Collect and analyze data from the literature and from ongoing experimentation to support hypotheses. (25%) Participate in writing research publications, presentations, and grant proposals. (20%) Aid the investigator in managing research staff and maintaining research facilities on an as-needed basis. (10%) Other duties as assigned, including representing the lead investigator at scientific conferences and meetings. (5%) QUALIFICATIONS: Minimum BA/BS Degree Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement : This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below. For accommodation requests, please contact HR Services Online at ***************************** California Consumer Privacy Act Employees, Contractors, and Applicants Notice

The Department of Mathematical Sciences at Carnegie Mellon University invites applications for a two-year postdoctoral position to begin on September 1, 2026. The position is focused on applied analysis and related areas of applied and computational mathematics. The position is connected to the NSF RTG grant "Frontiers of Applied Analysis". Consequently only U.S. citizens, nationals, and permanent residents are eligible. Depending on the expected continuation of funding and performance, the position may be extended to the third year. Ph.D. in mathematics or a closely related discipline is required. Preference will be given to candidates who have shown outstanding promise and/or excellent accomplishments in research in a broad spectrum of applied and computational mathematics. This includes PDE, calculus of variations, probability and stochastic analysis, numerical analysis, and scientific machine learning. Interest in interdisciplinary efforts is also valued. Commitment to and experience in teaching and mentoring student research are also desirable.

The Robotics Institute at Carnegie Mellon University brings together the top scientific minds, intent on solving humanity's toughest challenges through robotics. Encompassing the practical and the theoretical, we push the boundaries of collaboration to develop interdisciplinary solutions touching nearly every aspect of human life - making things safer, more efficient and more productive. We educate, mentor and empower the brightest and most ambitious roboticists to anticipate the future, and then to build the robotics we need to take us there. The Robotics Institute is currently searching for a Postdoctoral Fellow to join the team. This is an excellent opportunity if you thrive in an exciting and challenging environment. Core responsibilities include: Conducting cutting-edge research in the field of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis, and computer graphics, to identify existing research, methodologies, and advancements. Designing and developing innovative algorithms, models, and techniques for solving complex problems in computer graphics, computer vision, and machine learning. Providing guidance and mentorship to undergraduate and graduate student researchers and team members, fostering a collaborative and intellectually stimulating research environment. Other duties as assigned. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work. You should demonstrate: Strong analytical skills Strong verbal and written communication skills Excellent organizational skills Qualifications: Doctorate degree required Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today! Location Pittsburgh, PA Job Function Pre/Post-Doctoral Associates & Fellows Position Type Postdoctoral Associate / Fellow (Fixed Term) Full Time/Part time Full time Pay Basis Salary More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

The PLUS - Personalized Learning Squared (******************* project, run by the Human-Computer Interaction Institute at Carnegie Mellon University aims to double the rate of math learning in middle school students, particularly those who have been historically underserved. This project is operated in collaboration with Carnegie Learning and Stanford University and is led by Principal Investigator Prof. Ken Koedinger and Research Lead Dr. Danielle Thomas. PLUS features a hybrid tutoring platform that combines human and AI tutoring to deliver personalized learning for each student. The National Tutoring Observatory (***************************************** , is a research infrastructure led by Prof. Rene Kizilcec at Cornell University, along with researchers from Carnegie Mellon University, Massachusetts Institute of Technology, and educational strategy company FreshCognate. The mission of the National Tutoring Observatory is to observe and record great teachers and tutors at work in one-on-one and small group interactions with learners. By partnering with a range of tutoring providers, we will create the world's largest repository of video and transcript data about tutoring interactions and the incredibly important work of teachers. The Observatory aspires to create a Million Tutor Moves dataset that records at least one million interactions between teachers and students. These new data will advance the science of instruction, provide important data for technologists developing AI tools, and allow the Observatory to create a pipeline for the creation of open-source AI tools. About The Role: We are looking for a postdoctoral fellow who will contribute to original research to improve student learning outcomes through improved tutoring for the PLUS project and the NTO. This fellow would be advised by Prof. Ken Koedinger and Dr. Danielle Thomas at Carnegie Mellon, while closely collaborating with Rene Kizilcec and Co-PIs of The National Tutoring Observatory..This includes work on improving tutor training, improving tutor-student matching, and developing AI-assisted support tools for tutors. This is an excellent opportunity for a technology-oriented postdoc researcher to make an impact on an exciting and fast-scaling project in the areas of educational data science, learning science, and education technology. The ideal candidate will demonstrate strong problem-solving skills and apply interesting research methods and procedures to answering the following example research questions: + What are the key drivers of effective teaching and tutoring, and how do they vary across different tutoring modalities, implementations, and student demographics? + How can we best measure and isolate the tutoring actions and behaviors that correlate with, and ultimately predict, gains in student learning and engagement? + How can AI-driven tutoring tools be used to improve human tutor training and professional development? + How can AI-driven tutoring tools be used to improve the learning experiences and outcomes for students? The ideal candidate will also possess strong quantitative analysis skills, and your responsibilities will include: + Collaborative problem-solving toward innovation in tutoring with different stakeholders + Design and implement evaluations of innovative programs + Data analyses and modeling using Python/R/or similar programming languages + Co-author research papers on the results of student learning modeling and studies + Attend required meetings and participate in various seminars and training workshops to maintain or update skills What We Offer: + Competitive salary and benefits package including an automatic 8% monthly contribution to a retirement plan + Professional development opportunities including tuition benefits at CMU for you and your dependents + Comprehensive health insurance and generous PTO + Chance to work with the world's foremost learning science researchers + A fun, high-octane team that will work with you every step of the way Salary: $60,000-$75,000 **Qualifications** What You Bring: + Ph.D. in Cognitive Science, Learning Science, Computer Science, Information Systems, or related fields + A record of publications in Cognitive Science, Learning Science, AI in Education, and/or Educational Data Mining (conferences such as AIED, LAK, EDM, etc.) + Collaborative problem-solving skills to work effectively with state assessment professionals toward innovation in assessment + Experience working with discourse analyses, such as audio transcription analysis and multimodal data analysis + Data analysis skills with R/Python/or similar programming languages + Experience in public education is a plus **Application Instructions** Applications should include a cover letter describing qualifications and expressing interest, a CV and contact information for 2 references and a published paper (optional). Please direct questions and interest in the position to Danielle Thomas: **************** (******************) . **Equal Employment Opportunity Statement** **Carnegie Mellon University** is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in chemical engineering. Today, this is more true than ever. With research thrusts across fields such as health and medicine, biofuels, air quality and more, CMU chemical engineering students are paving the way to healthier, cleaner, more efficient future for all. Carnegie Mellon University's department of Chemical Engineering is seeking a highly motivated and talented postdoctoral researcher with expertise in microbiome studies, microfluidics, or/and Machine-Learning to join our dynamic research team. The successful candidate will play a pivotal role in advancing our understanding of microbial communities through innovative microfluidic technologies. Responsibilities: Designing and conducting experiments to study microbial communities using microfluidic platforms. Developing and optimizing microfluidic devices for high-throughput microbiome analysis. Analyzing complex datasets derived from microbiome studies and microfluidic experiments. Collaborating with interdisciplinary teams, including microbiologists, engineers, and computational biologists. Publishing research findings in peer-reviewed journals and present at scientific conferences. Mentoring and supervise graduate and undergraduate students in related projects. Contributing to the preparation of grant proposals and progress reports Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work. Preferred Skills: Experience with single-cell analysis and microbial culturing techniques. Familiarity with Machine-Learning and computational tools and programming languages such as Python, R, or MATLAB. Knowledge of systems biology and integrative approaches to studying microbial communities. Experience in mentoring and teaching Qualifications: A Ph.D. in Computational Science, Microbiology, or Bioengineering, and related field. Extensive experience in microbiome research, including DNA sequencing, metagenomics, and bioinformatics. Proficiency in designing microencapsulation and fabricating microfluidic devices. Strong background in experimental design and data analysis. Excellent written and verbal communication skills. Proven track record of publishing in high-impact scientific journals. Ability to work independently and as part of a collaborative team A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today! Location Pittsburgh, PA Job Function Pre/Post-Doctoral Associates & Fellows Position Type Postdoctoral Associate / Fellow (Fixed Term) Full Time/Part time Full time Pay Basis Salary More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

For full consideration, applications should be received by **February 15th** As part of a three-year project funded by the **John Templeton Foundation** , we seek to hire one or more predoctoral fellows in the study of science, mathematics, and philosophy of mathematical discovery. This predoctoral fellowship is resident, in person, and full-time at Carnegie Mellon University in Pittsburgh, Pennsylvania, USA. The salary is $35,700/year and includes health insurance. The minimum time commitment for this fellowship is fourteen weeks (3.5 months), and up to one year in duration on initial appointment. Health insurance, relocation costs, and other benefits are included. Citizenship unrestricted, and international travel assistance is available. This is an ideal position for someone interested in building research experience and a strong portfolio before applying for Ph.D. positions. Fellows in previous years have gone on to great things and a variety of Ph.D. careers ranging from cognitive science, computer science, and organizational behavior to economics, biophysics, sociology, political theory, and theology, and include winners of the NSF Graduate Research Fellowship, the Hertz Graduate Fellowship, the SBS Foundation Graduate Fellowship for Future Talent, and the Rhodes Scholarship. Our project has three main themes; ideal candidates will have an interest in one or more of these themes. **Theme 1:** Proofs in Practice: the cognitive science and psychology of how humans discover and make sense of mathematical proofs, both as individuals and collectives. How do people prove things? **Theme 2** : Transcendental Structures: the formal study of mathematical proof itself, as a subject in computational complexity, type theory, metamathematics, logic, and beyond. What is the space of mathematical truth, and what proofs are there to be discovered? **Theme 3:** Cyborg Proofs: the use of artificial intelligence in both discovering and verifying mathematical proofs, with and without human aid. What kinds of tools can we build, and how will they alter the nature of mathematics? **Applicants: to be considered for this position, please submit the following. You can submit these statements and documents as files with your application (PDF or Word):** + **A short research statement** (no more than two pages, not including references; 12-point font, 1-inch margins). This statement should cover, (A) a brief summary of your research interests, prior experience, and achievements to date - this need not be tailored to this position; (B) an account of your interests in, ideas about, and potential contributions to, one or more of the themes above - this can be as referenced or as speculative as you like. + **An academic CV,** including a list of between one and three people (name, e-mail, and affiliation) who can serve as academic references -- for example, your undergraduate advisor, or the supervisor for a research project you've been involved with. Your CV should include your date of graduation. **Core Responsibilities** + Aid in novel scientific, mathematical, and philosophical research into the nature of mathematical understanding, under the supervision of Project Lead Simon DeDeo. + Help publish and share this research with the wider academic community, including conducting experiments, gathering, visualizing, and analyzing data, aiding in the writing up of research for publication, and in handling referee reports. + Work collaboratively with other members of the project, as consonant with their joint intellectual interests. + This job does _not_ involve teaching and has no teaching responsibilities **Qualifications** + Predoctoral fellows should have received, or expect to receive, a Bachelor's or Master's degree before beginning this position but should not have yet begun their Ph.D. work. + In exceptional circumstances, we can consider a Summer appointment for those who will not have received their BA before June 2026. + Fellows should have a background, advanced undergraduate classwork, strong interests, and ideally some research experience, in one or more of the following fields: **Cognitive science** **Psychology** **Computer Science** **Mathematics** **Philosophy** We are also open to considering other fields as well. **Joining the CMU team opens the door to an array of exceptional benefits.** **Benefits eligible (******************************************************* employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance (************************************************************ **as well as a generous retirement savings program (************************************************************** with employer contributions. Unlock your potential with tuition benefits (*************************************************** , take well-deserved breaks with ample paid time off (*************************************************** and observed holidays (******************************************************** , and rest easy with life and accidental death and disability insurance.** **Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team (******************************************************************************** to help navigate childcare needs, fitness center access (************************************************** **,** **and much more!** **For a comprehensive overview of the benefits available, explore our Benefits page (********************************************* **.** **At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.** **Are you interested in an exciting opportunity with an exceptional organization?! Apply today!** **Location** Pittsburgh, PA **Job Function** Pre/Post-Doctoral Associates & Fellows **Position Type** Postdoctoral Associate / Fellow (Fixed Term) **Full Time/Part time** Full time **Pay Basis** Hourly **More Information:** + Please visit **"Why Carnegie Mellon (******************************************* "** to learn more about becoming part of an institution inspiring innovations that change the world. + Click here (*********************************************** to view a listing of employee benefits + **Carnegie Mellon University is an Equal Opportunity** **Employer/Disability/Veteran** . + Statement of Assurance (*************************************************************************************** Interested in a career with Carnegie Mellon University but not finding anything that currently aligns with your interests, background, or experience? Learn how to sign up for Job Alerts (************************************************************************** through your candidate profile. **If your heart is in your work, come work with us.** Carnegie Mellon University isn't just one of the world's most renowned educational institutions - it's also a hotspot for some of the most talented doers, dreamers, and difference-makers on the planet. When you join our staff, you'll become an important part of our mission to create a healthier, safer, and more just life for all. No matter what your role or location, you'll connect and collaborate with dedicated, passionate colleagues - and you'll have the satisfaction of delivering work that truly matters. We cultivate a vibrant, welcoming environment where everyone is valued and encouraged to contribute and achieve. In addition to competitive benefits and a robust support network, you'll have access to many tools and resources to sharpen your abilities and professional skills, as well as opportunities to engage and share perspectives with a dynamic and inspiring community of uniquely talented staff, faculty, students, and alumni. The future is awaiting your expertise and intellect. Come join the architects of what's next. Apply now. Learn more about Student Employment (****************************************************** . Please see Faculty Careers. (**************************************************************************** For technical assistance, email HR Services (**********************) or call ************. If you are an individual with a disability and you require assistance with the job application process, please email Equal Opportunity Services (*****************************) or call ************. Prospective Employee Disclosures (************************************************

The Robotics Institute at Carnegie Mellon University brings together the top scientific minds, intent on solving humanity's toughest challenges through robotics. Encompassing the practical and the theoretical, we push the boundaries of collaboration to develop interdisciplinary solutions touching nearly every aspect of human life - making things safer, more efficient and more productive. We educate, mentor and empower the brightest and most ambitious roboticists to anticipate the future, and then to build the robotics we need to take us there. The Robotics Institute is currently searching for a Postdoctoral Fellow to join the team. This is an excellent opportunity if you thrive in an exciting and challenging environment. Core responsibilities include: Collecting and analyzing data, including periodical/literature search and utilizing specialized skills in related fields to analyze the collected data. Conducting research experiments within the predetermined research scope and methodology of department and university. Lab maintenance, including equipment maintenance and ordering of supplies may be required depending on area and specialty. Working on the development of planning algorithms for bimanual manipulation with physics-based simulation in the loop. Mentoring graduate and undergraduate students. Other duties as assigned. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work. You should demonstrate: Strong analytical skills Strong verbal and written communication skills Strong organizational skills Qualifications: Doctorate degree required Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today! Location Pittsburgh, PA Job Function Pre/Post-Doctoral Associates & Fellows Position Type Postdoctoral Associate / Fellow (Fixed Term) Full Time/Part time Full time Pay Basis Salary More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

The Computer Science Department of Carnegie Mellon University has an exciting opportunity for a technical postdoc for work on making large language models (and similar systems) safe and reliable, especially in contexts where they are used as agents and have access to tools. Some directions that are particularly of interest: + Multiagent approaches, for example by having one agent monitor another, and agents working in concert + Multiobjective optimization approaches to enable safety by design + Evaluation, for example evaluating the performance of an agent over time, evaluating it in complex multi stakeholder environments, etc. The position is for one year; we plan to be able to support a second year conditional on satisfactory performance. Specifically of interest are: + Prior experience working with LLMs + Prior experience conducting rigorous experiments + An interest in decision making contexts and applications. Also valued (but not required) are: + Background or in related topics such as optimization, multiagent systems, game theory, human subjects experiments, ... + Background or interest in interdisciplinary collaborations crossing into for example policy, operations research, economics, philosophy, ... **Qualifications** Candidates are expected to have or be about to receive a PhD in computer science or a related discipline, and prior experience with the type of work of the position. **Equal Employment Opportunity Statement** **Carnegie Mellon University** is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful candidate will have primary responsibility for all facets of the project, including papers writing and students mentoring. Preference will be given to candidates with a proven track record, demonstrating relevant skills and extensive experience in multimodal machine learning and human behavior analysis (e.g., facial and gesture analysis and acoustic signal processing). The candidate should be enthusiastic about collaborating with partners from multiple disciplines and institutions. RESPONSIBILITIES: Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software for maximum efficiency and usability. Designs, develops, tests and maintains applications or system programs. Gathers and provides input on functional specifications and requirements. Perform approved research project tasks according to defined protocols and procedures including appropriate collection, recording, storage, and analysis of data, and reporting of results. Follow appropriate research policies and procedures and maintains scientific integrity including accurate data storage. Communicate the daily progress of research projects via meetings with, and written reports to the research director. Responsible for following the mandatory reporting procedures for any incident or event that did affect or potentially could affect the project goals and workflow. Optimize protocols and improve methods currently employed. Coordinates work consistently to achieve maximum productivity. Demonstrates ability to deal with changes in priorities to provide smooth and consistent workflow. Interacts with interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine learning / computer vision/ human behavior modeling, with specialization in one or more of the following areas:, supervised/unsupervised/self-supervised learning, large vision models, multimodal foundation models, transfer learning, Research experience in multimodal human behavior analysis, affective computing, AI for Healthcare, and multimodal machine learning. Very good presentation, communication, and organization skills. DESIRED: Publications in top machine learning and/or computer vision conferences and journals. Research experience involving clinical applications (e.g., depression, pain). Experience and/or enthusiasm for mentoring students. Experience analyzing questionnaires and surveys. Experience with grant proposal preparation and coordination. How to Apply: Important Note: Applications missing any 3 of the mandatory document listed below will be REJECTED and not considered for the role. Applications should be sent to ************************************* Applications MUST contain the 3 mandatory files listed below: 1. Cover Letter: letter of application, describing your qualifications and relevant experience to the position of interest (with expected date of availability). 2. A detailed CV (including full publications citation if applicable) 3. Three reference letters (sent separately by the referees to me at *********************** Incomplete applications that are missing any of the 3 files listed above will not be considered and dispositioned. "Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity." Are you interested in this exciting opportunity?! Apply today! Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today! Location Pittsburgh, PA Job Function Pre/Post-Doctoral Associates & Fellows Position Type Postdoctoral Associate / Fellow (Fixed Term) Full Time/Part time Full time Pay Basis Salary More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

The Department of Mathematical Sciences invites applications for two or three-year postdoctoral research fellowships beginning September 1, 2025. Applicants are expected to show exceptional research promise, as well as clear evidence of achievement, and should have research interests that intersect those of the current faculty of the department. The department expects to make several appointments. The positions are open to all areas represented by the current faculty. **Qualifications** A Ph.D. in mathematics or in closely related disciplines is required. The Department of Mathematical Sciences is committed to increasing the diversity of our community on a range of intellectual and cultural dimensions. **Application Instructions** Applicants should submit all materials electronically through both MathJobs and this Interfolio site. This includes a cover letter, a curriculum vitae, list of publications, a teaching statement, and a statement describing current and planned research activities. At least three letters of reference, one of which addresses teaching, will be solicited through Mathjobs. For full consideration, applications should be submitted by **December 1, 2024.** **Equal Employment Opportunity Statement** **Carnegie Mellon University** is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

We are looking for a postdoc who will work under the guidance of Prof. Vincent Aleven in the HCI Institute, with additional guidance provided by Dr. Steve Ritter at Carnegie Learning Inc., a Pittsburgh-based company. The postdoc will work on an IES-funded project: Researchers from Carnegie Mellon University and Carnegie Learning, Inc. will team up to address challenges teachers face in the context of mathematics learning in blended middle school classes that use intelligent tutoring software (ITS). Although well-designed analytics-based teacher support tools promise to support teachers in running personalized K-12 classrooms, there is very little scientific knowledge regarding how this kind of tool affects teachers and students - nor how tools could provide not only awareness support to teachers (informing the teacher about students' progress and struggles) but also decision support (making suggestions for whom to help and how), with potentially even greater impact. The researchers will design an analytics-based mixed-reality teacher support tool ("teacher smart glasses") through co-design sessions with teachers and students, hone the tool through prototyping, test it through classroom pilotring, and conduct classroom studies to rigorously evaluate effects on teachers and students of the took and of key tool features (namely, real-time awareness support and decision support for teachers). The project will produce a new teacher orchestration tool, Lumilo 2, running on mixed-reality devices (smart glasses) so teachers can keep their eye on the class. The project will produce new scientific insight into how real-time analytics-based tools affect teacher help and, in turn, student learning. The project may lead to a more personalized K-12 math classroom. **Qualifications** Minimum qualifications: PhD in learning technologies, human-computer interaction or a related field. Experience in implementing educational technology and conducting educational technology research. Preferred classifications: Experience with K-12 classroom research. Experience with designing, developing, and evaluating AR/VR applications. Strong publications record. **Application Instructions** Applications should include a cover letter describing qualifications, a CV and contact information for 3 references. Please direct questions and interest in the position to ***************** **Equal Employment Opportunity Statement** **Carnegie Mellon University** is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

The Department of Mathematical Sciences invites applications for two or three-year postdoctoral research fellowships beginning September 1, 2026. Applicants are expected to show exceptional research promise, as well as clear evidence of achievement, and should have research interests that intersect those of the current faculty of the department. The positions are open to all areas represented by the current faculty. **Qualifications** A Ph.D. in mathematics or in closely related disciplines is required. **Application Instructions** Applicants should submit all materials electronically through both MathJobs and this Interfolio site. This includes a cover letter, a curriculum vitae, list of publications, a teaching statement, and a statement describing current and planned research activities. At least three letters of reference, one of which addresses teaching, will be solicited through Mathjobs. For full consideration, applications should be submitted by **December 1, 2025.** **Equal Employment Opportunity Statement** **Carnegie Mellon University** is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.