7,022 Research Science jobs in the United States

Location:

Santa Clara, California, United States

Job ID:

R0104071

Date Posted:

2025-08-19

Company Name:

HITACHI AMERICA, LTD.

Profession (Job Category):

Administration & Facilities

Job Schedule:

Part time

Remote:

No

Job Description:

AI Research Scientist Intern

Division: Energy Solutions Division

Location: Santa Clara, CA or remote

Status: Intern, part time (September - March 2026)

The Company

Hitachi drives Social Innovation Business, creating a sustainable society through the use of data and technology. We solve customers' and society's challenges with Lumada solutions leveraging IT, OT (Operational Technology) and products. Hitachi operates under the business structure of "Digital Systems & Services" - supporting our customers' digital transformation; "Green Energy & Mobility" - contributing to a decarbonized society through energy and railway systems, and "Connective Industries" - connecting products through digital technology to provide solutions in various industries. Driven by Digital, Green, and Innovation, we aim for growth through co-creation with our customers. The company's consolidated revenues for fiscal year 2022 (ended March 31, 2023) totaled 10,881.1 billion yen, with 696 consolidated subsidiaries and approximately 320,000 employees worldwide. For more information on Hitachi, please visit the company's website at

Summary

Hitachi America, Ltd. ( ) has openings for postdoc position in the Energy Solution Laboratory located in Silicon Valley. The laboratory focuses on research, technology innovation, proof-of-concept activities, technical marketing and business development for novel energy solutions, leveraging Hitachi's technologies, reinforcing Hitachi's messaging around IoT technologies, and establishing Hitachi as a leader in big data.

More information about the research done at the Big Data Laboratory can be found at:

More information about Hitachi IoT technology in Smart Industry can be found at:

Requirements

We're looking for a team player, who is motivated by delivering great work and the Hitachi vision. The ideal candidate will possess the following skills and background:

• AI Research Scientist in the areas of power distribution and transmission systems.

• Conduct research in AI/ML with applications in power system planning, operation, and optimization.

• Design and implement AI algorithms for planning, real-time monitoring, control, and operation of distribution and distribution networks.

• Collaborate with cross-functional teams internally and externally to prototype, test, and deploy AI-powered tools in real-world utility environments.

• Publish research findings in peer-reviewed paper/journal

Qualifications

We're looking for a team player, who is motivated by delivering great work and the Hitachi vision. The ideal candidate will possess the following skills and background:

• Ph.D. in Computer Science or Electrical Engineering or any other related degree with 1-3 years of experiences in AI/ML.

• Proficiency in Python is a must.

• Experience with Graphic Processing Unity (GPU) preferred.

• Proficiency in AI/ML, supervised learning, unsupervised learning, deep learning, reinforcement learning, data analytics techniques, and optimization techniques.

• Proficiency in AI/ML algorithm development.

• Knowledge of distribution and transmission system analysis is preferred.

Our Values

We are proud to say we are an equal opportunity employer and welcome all applicants for employment without attention to any factor that doesn't impact your ability to do the job, including race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are proud of Japanese heritage, with our values expressed through the Hitachi Spirit:

Wa - Harmony, Trust, Respect

Makoto - Sincerity, Fairness, Honesty, Integrity

Kaitakusha-Seishin - Pioneering Spirit, Challenge

For California only (as required by California's Pay Transparency for Pay Equity Act ( SB 1162) : The expected hourly rate for this position in our California office is $45 per hour. Pay is determined based on a variety of factors including, but not limited to, depth of experience in the practice area. Employees are eligible to participate in Hitachi America's variable pay program, subject to the program's conditions and restrictions.

Equal Opportunity Employer (EOE)-Females/Minorities/Protected Veterans/Individuals with Disabilities

If you need a reasonable accommodation to apply for a job at Hitachi, please send the nature of request and contact information to Queries other than accommodation requests will not be responded to.

Description
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the extreme. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you're interested in innovating at scale to address big challenges in the world, this is the team for you.
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.
Basic Qualifications
- Bachelor's degree
- PhD, Masters, Bachelors with 10 years experience
Preferred Qualifications
- 10+ years of Managerial experience, working with commercial products
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $157,600/year in our lowest geographic market up to $272,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

**Summary:**
The Reality Labs Research Audio team aims to fundamentally transform the human experience through audio innovation. We are creating virtual sound that is perceptually indistinguishable from reality and redefining human hearing. We research and invent technologies related to sound capture, acoustic scene understanding, psychoacoustics, listener intent, sound propagation, audio rendering, the hardware breakthroughs necessary to power these technologies, and much more. The discoveries we make inform immersive and ubiquitous XR products across Meta, supporting meaningful connections to the world and people across augmented reality, mobile, virtual reality, wearable devices, and beyond.
**Required Skills:**
Virtual Sound Director, Research Science Responsibilities:
1. Research Leadership: Develop and lead a strategic research agenda focused on advancing audio technology for virtual and augmented reality applications. Identify and explore new research opportunities and applications for audio technology.
2. Innovation and Development: Oversee the research and development of cutting-edge audio technologies, including machine learning algorithms, AI-driven audio processing, and the integration of large language models into audio systems.
3. Team Management: Lead, mentor, and inspire a team of researchers and engineers. Foster a collaborative and innovative research environment that encourages creativity and excellence.
4. Collaboration: Work closely with cross-functional teams, including product development, engineering, and design, to integrate research findings into Meta's products and services.
5. Industry Engagement: Stay abreast of the latest trends and advancements in audio technology, machine learning, and AI. Represent Meta at industry conferences, workshops, and networking events.
6. Quality Assurance: Ensure the highest standards of quality and performance in all research initiatives. Implement best practices for testing, validation, and continuous improvement.
**Minimum Qualifications:**
Minimum Qualifications:
7. Ph.D. in Computer Science, Electrical Engineering, Audio Engineering, or a related field
8. 10 years of experience in audio technology research, with at least 5 years in a leadership role. Proven experience in machine learning, artificial intelligence, and large language models
9. Proficiency in audio signal processing, machine learning frameworks (e.g., TensorFlow, PyTorch), and AI technologies. Experience with large language models and their application in audio systems
10. Demonstrated ability to lead and manage a diverse team of professionals. Strong project management skills and the ability to drive research projects from concept to completion
11. Verbal and written communication skills. Ability to articulate complex technical concepts to non-technical stakeholders
**Public Compensation:**
$264,000/year to $342,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Sr Machine Learning Engineer, Applied Research Science

Join to apply for the Sr Machine Learning Engineer, Applied Research Science role at Pinterest

Sr Machine Learning Engineer, Applied Research Science

Join to apply for the Sr Machine Learning Engineer, Applied Research Science role at Pinterest

Get AI-powered advice on this job and more exclusive features.

About Pinterest

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, were on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

About Pinterest

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, were on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each others unique experiences and embrace the flexibility to do your best work. Creating a career you love? Its Possible.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, youll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you wont find anywhere else.

What Youll Do

• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keeping up with industry trends in recommendation systems
  
  
  

What Were Looking For

• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
• Nice to have:
• Publications at top ML conferences
• Expertise in scalable realtime systems that process stream data
• Passion for applied ML and the Pinterest product
  

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  
  
  

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$177,309$10,291 USD

Our Commitment To Inclusion

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet, Software Development, and IT Services and IT Consulting

Referrals increase your chances of interviewing at Pinterest by 2x

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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Sr Machine Learning Engineer, Core Engineering

Join to apply for the Sr Machine Learning Engineer, Core Engineering role at Pinterest .

About Pinterest
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities, and plan for memories that will last a lifetime. At Pinterest, were on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each others unique experiences, and embrace the flexibility to do your best work. Creating a career you love? Its Possible.

With more than 500 million users worldwide and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. Our teams are small, mighty, and growing, offering hands-on access to vast data and large-scale recommendation systems.

What Youll Do

• Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.
• Partner with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, Search), gaining cross-domain knowledge.
• Leverage data-driven methods and the unique properties of our data to enhance candidate retrieval.
• Work in a high-impact environment with rapid experimentation and product launches.
• Stay updated with industry trends in recommendation systems.

What Were Looking For

• 4+ years of experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, NLP, reinforcement learning, graph representation learning).
• Experience with building data processing pipelines, large-scale ML systems, and big data technologies (e.g., Hadoop/Spark).
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or related fields, or equivalent experience.
• Nice to have: Publications at top ML conferences, expertise in scalable real-time stream processing systems, passion for applied ML and Pinterest products.

Relocation Statement

• This position is not eligible for relocation assistance. See our PinFlex page for more on our working model.

At Pinterest, we value an equitable, inclusive, and inspiring workplace. The salary range for this position is $177,309$310,291 USD, with potential for equity. Final salary depends on location, experience, skills, and other factors.

US-based applicants only. For more about our culture and benefits, click here .

Our Commitment To Inclusion

Pinterest is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, genetic information, or any other legally protected status. Support for medical or religious accommodations is available upon request.

Job Details

• Senior level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and IT
• Industries: Technology, Internet, Software Development, IT Services & Consulting

Referrals can double your chances of interview success. Get notified about new Machine Learning Engineer roles in San Francisco, CA .

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About Pinterest :

Millions of people across the world come to Pinterest to find new ideas every day. Its where they get inspiration, dream about new possibilities, and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, youll be challenged to take on work that upholds this mission and pushes Pinterest forward. Youll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term thats uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.

With more than 450 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, youll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you wont find anywhere else.

What youll do:

• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keep up with industry trends in recommendation systems

What were looking for:

• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• Nice to have:
  • M.S. or PhD in Machine Learning or related areas
  • Publications at top ML conferences
  • Expertise in scalable realtime systems that process stream data
  • Passion for applied ML and the Pinterest product

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here .

US based applicants only

$177,309$310,291 USD

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

#J-18808-Ljbffr

**What You Will Do**
As a postdoctoral research assistant, you will be an integral member of a team tackling a variety of additive manufacturing challenges involving novel ceramic material processing methods and integrating methods for advanced geometry integration. You will be working on projects for determining ceramic additive methods, qualification requirements, and understanding structure-property-processing relationships in these material systems fabricated through additive manufacturing methods. You will work with a mentor but will be assigned portions of projects over which you will have responsibility.
**What You Need**
**Minimum Job Requirements:**
+ Hands on physical research experience, especially in the areas of ceramic materials processing and/or additive manufacturing with vat photopolymer or direct ink write.
+ Experience with powder processing and colloidal formulation
+ Experience with furnace systems and thermal profile optimization for sintering
+ Desire to work on production-centric ceramic manufacturing research and development activities
+ Experience presenting research results at technical conferences or instructing lab/lecture courses
+ Display a record of achievement through reports, publications, intellectual property, and/or technical products.
+ Self-motivated and independent researcher who has demonstrated experience working as part of an interdisciplinary team
+ Completed coursework or research experience in one of the disciplines outlined below
+ Ability to obtain a Q clearance which normally requires U.S. Citizenship
**Desired Qualifications:**
+ Experience with ceramic processing or additive manufacturing equipment and operation, particularly mills, furnaces, shear mixers, and vat photopolymer printers
+ An understanding of ceramic manufacturing methods including, but not limited to vat photopolymer additive manufacturing, direct ink writes additive manufacturing, press forming, extrusion, gel casting, slip casting, powder batching, and thermal profile optimization.
+ Experience with microstructural characterization, and its relation to performance such as mechanical properties, chemical compatibility, and corrosion susceptibility
+ Experience using computational tools such as CAD, inspection software, additive manufacturing software tools such as slicing/build layout, and topology optimization
+ Experience with non-destructive examination techniques, such as radiographic testing, candling, structured light scanning, penetrant testing, proof testing, or similar
+ Familiarity with reading and generating engineering drawings, dimensioning, and tolerance
+ Experience or familiarity with radiological materials
+ Excellent interpersonal, verbal and written communication skills and demonstrated ability to interact with colleagues
+ Demonstrated self-starter with the ability to effectively work in a team environment
**Education:** Doctoral Degree in Ceramic Engineering, Materials Science, Materials Engineering, Chemistry, or a related field.
**Notes to Applicants**
1. When submitting your application electronically to this vacancy, please submit the following:
2. a cover letter summarizing your skills, research areas of interest, and desire to work at Los Alamos National Laboratory
3. a curriculum vitae or résumé that contains the following information: education, major, GPA, relevant work experience, relevant technical skills
4. a list of professional references
**Work Location:** The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
**Note to Applicants:**
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
**Where You Will Work**
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
§ PPO or High Deductible medical insurance with the same large nationwide network
§ Dental and vision insurance
§ Free basic life and disability insurance
§ Paid childbirth and parental leave
§ Award-winning 401(k) (6% matching plus 3.5% annually)
§ Learning opportunities and tuition assistance
§ Flexible schedules and time off (PTO and holidays)
§ Onsite gyms and wellness programs
§ Extensive relocation packages (outside a 50 mile radius)
**Additional Details**
**Directive 206.2** - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 ( . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
**Clearance: Q** (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 ( for additional information.
**New-Employment Drug Test:** The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
**Internal Applicants:** Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 ( for applicant eligibility requirements.
**Equal Opportunity:** Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to or call ( opt. 3.

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.
Are you a recent Ph.D. graduate in STEM or social sciences interested in a career path in open science, science communication, science policy, or academic librarianship? Join the team of the Open Science & Data Collaborations program at Carnegie Mellon University Libraries to help foster a more open, reproducible, and collaborative research landscape.
The Postdoctoral Associate in Open Science should be technically-skilled, have a strong understanding of academic research and the research data ecosystem, be passionate about building an open and collaborative research community, and committed to developing a research and teaching agenda on topics related to open science. This is a fixed term 2-year position with 50% of time devoted to research and 50% to teaching, community-building activities, and providing research services.
Under the supervision of the Director of the Open Science Program, the successful candidate will:
+ Conduct collaborative research on open science topics, such as developing open science assessment metrics, developing tools and methods that help to enhance research transparency and reproducibility, understanding open science and data reuse needs and practices in different research communities;
+ Teach lessons and workshops such as data processing and analysis using R or Python, tools and best practices for data management, computational best practices for open and reproducible research. Develop teaching materials that include interactive activities and hands-on examples;
+ Serve on organizing and programming committees of open science events hosted by the program, including the annual Open Science Symposium ( ;
+ Serve as a consultant for our data and coding consultation service ( ;
+ Assist in the outreach effort of the program and support of research tools such as Open Science Framework, LabArchives, Jupyter Notebook, R, Python, and GitHub;
+ Conduct program needs assessments to remain responsive to users needs and help improve the program
+ Contribute to international research communities with poster presentations or talks on open science research.
**What We Require:**
+ Ph.D. in a science, technology, engineering, or social sciences discipline;
+ Strong interest in building an open science community across disciplinary boundaries and advancing open scholarship and reproducible research;
+ Enthusiasm for working collaboratively with library personnel on research projects, instructional design, and developing services.
**What We Would Like You To Have:**
+ Strong track record in academic research in a discipline that is well established at CMU (relevant research experience in industry or government also considered);
+ Demonstrated record of teaching excellence in academic settings including hands-on training or training others in research skills. Interest in refining teaching skills and curriculum development;
+ Experience managing, analyzing, or working with complex research data;
+ Understanding of computational reproducibility best practices;
+ Experience with one or more programming languages commonly used in research such as R or Python
+ Understanding of tools used for reproducible research such as Git/GitHub, Jupyter Notebook, Binder, Docker, Open Science Framework;
+ Strong interpersonal skills with the ability to effectively interact with diverse groups including faculty, students, staff, and administrators;
+ Demonstrated ability to work independently and as part of a team;
+ Excellent organizational, communication, and presentation skills;
+ Dedication to professional development including personal research and scholarship and growth of skills;
+ Interest in contributing to the global open science community.
**What We Can Offer:**
+ Professional development and travel funds are available.
+ Hybrid work modality with 1-2 days per week from home.
+ 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
**To Apply:**
A successful candidate would preferably be in place as early as possible. To be considered, please include your CV, a cover letter, and contact information for three references in your application
Flexibility, excellence, and passion are vital qualities within the CMU Libraries. Therefore, we are searching for a team member who can effectively interact with 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.
**Deadline:**
Applications received by **May 23, 2025** will be given first consideration.
Additional information about Open Science & Data Collaborations can be found here: Open Science & Data Collaborations | CMU Libraries ( 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 ( 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. ( 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 (