assistant research scientist

Texas A&M University

<div><p><b>Job Title
</b></p>Assistant Research Scientist
<p></p><p><b>Agency
</b></p>Texas A&amp;M University
<p></p><p><b>Department
</b></p>Dir Private Enterprise Research Center
<p></p><p><b>Proposed Minimum Salary
</b></p>Commensurate
<p></p><p><b>Job Location
</b></p>College Station, Texas
<p></p><p><b>Job Type
</b></p>Staff
<p></p><p><b>Job Description
</b></p><p><b>Who We Are
</b></p><p>The Private Enterprise Research Center (PERC) was founded in 1977 through the generosity of former students, corporations and foundations and pursues a joint mission of supporting academic research at Texas A&amp;M University and developing market-oriented solutions to public policy problems. PERC also provides updated information on economic variables that affect the local metro area, Texas, and nationwide.
</p><p></p><p><b>What we want
</b></p><p>The Assistant Research Scientist will help augment PERC&rsquo;s publications by producing academic research, collaborate with other PERC staff on research projects and tasks, submit policy or research briefs for review for publication, and perform other duties as assigned.
</p><p></p><p><b>What you need to know
</b></p><ul><li><p><b>Salary </b>: Commensurate
</p></li><li><p>Submit a <b>Resume </b>or CV
</p></li><li><p>Submit a <b>Cover Letter
</b></p></li><li><p>Submit a <b>Sample of Work
</b></p></li><li><p>May have to work on the weekends and/or after normal hours
</p></li><li><p>May travel as required
</p></li></ul><p></p><p><b>Qualifications
</b></p><p><b>Required Education and Experience
</b></p><ul><li><p>PhD in Economics
</p></li><li><p>Experience in Data Analysis
</p></li></ul><p></p><p><b>Required Knowledge, Skills and Abilities
</b></p><ul><li><p>MS degree in economics or closely related field.
</p></li><li><p>Must be familiar with Microsoft 365 products and econometrics software such as STATA, R, and MATLAB.
</p></li><li><p>Ability to effectively communicate orally and in writing.
</p></li><li><p>Ability to positively and effectively communicate with staff members and stakeholders.
</p></li><li><p>Provide excellent communication and presentation skills.
</p></li><li><p>Strong interpersonal skills and organizational skills.
</p></li><li><p>Must be able to explain economic terms and concepts effectively to a variety of audiences of differing expertise levels.
</p></li><li><p>Ability to multi-task and work cooperatively as part of a team.
</p></li></ul><p></p><p><b>Responsibilities
</b></p><ul><li><p>The Research Scientist will prepare and submit articles to peer reviewed journals for publication and participate in PERC&rsquo;s public policy research agenda by conducting research in the general areas of healthcare, entitlements, retirement, public and labor economics, or monetary policy.
</p></li><li><p>This work includes collaborating with other staff members at PERC in developing research objectives, constructing supporting datasets, conducting empirical analysis, and writing working papers and public policy white papers.
</p></li></ul><p></p><p><b>Why Work at Texas A&amp;M University
</b></p><p>We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as: sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes. In addition, you have access to many benefits and perks, such as:
</p><p></p><ul><li><p>Health, dental, vision, life and long-term disability insurance with Texas A&amp;M contributing to employee health and basic life premiums
</p></li></ul><ul><li><p>12-15 days of annual paid holidays
</p></li></ul><ul><li><p>Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
</p></li></ul><ul><li><p>Automatic enrollment in the Teacher Retirement System of Texas
</p></li></ul><ul><li><p>Free exercise programs and release time for health and wellness programs
</p></li></ul><ul><li><p>All employees have access to free LinkedIn Learning training programs, webinars, and limited financial support to attend conferences, workshops, and more
</p></li></ul><ul><li><p>Educational release time and tuition assistance for completing a degree while a Texas A&amp;M employee
</p></li></ul><p></p><p><b>Our Commitment
</b></p><p>Texas A&amp;M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents &amp; lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.
</p><p></p><p>All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution&rsquo;s verification of credentials and/or other information required by the institution&rsquo;s procedures, including the completion of the criminal history check.
</p><p></p><p>Equal Opportunity/Veterans/Disability Employer.</p></div>

Assistant Research Scientist

University of Florida

<p></p><div><div><p><b>JOB NO:</b></p>
<div>539121</div><br>
<p><b>WORK TYPE:</b></p>
<div>Non-Tenure-Track Faculty</div><br>
<p><b>LOCATION:</b></p>
<div>Main Campus (Gainesville, FL)</div><br>
<p><b>CATEGORIES:</b></p>
<div>Biology/Life Science, Medicine/Physicians</div><br>
<p><b>DEPARTMENT:</b></p><div>
29050900 - MD-PULMONARY MEDICINE</div></div><br>
<div>
<div><div><div><div><b>CLASSIFICATION TITLE:</b></div> <div>Assistant Scientist - Pulmonary, Critical Care &amp; Sleep Medicine</div>
</div><br>
<div><div><b>CLASSIFICATION MINIMUM REQUIREMENTS:</b></div>
<div>
<ul><li>PhD, MD, MD/PhD or equivalent degree in biomedical sciences.</li><li>Completion of postdoctoral training with an outstanding publication record.</li><li>Innovative research plan relevant to molecular biology and biochemistry.</li></ul></div><br>
</div><br>
<div><div><b>JOB DESCRIPTION:</b></div>
<div>
<p>The Department of Medicine invites applications for a full-time, non&ndash;tenure-track faculty position at the Assistant Scientist level in the Division of Pulmonary, Critical Care &amp; Sleep Medicine.</p>
<p>
The successful candidate will work in the research laboratory of Dr. Jane Yu, supporting studies focused on female prevalent lung diseases and advancing research in woman diseases including tuberous sclerosis complex, lymphangioleiomyomatosis, emphysema, lupus, and cystic fibrosis. The position offers an opportunity to engage in interdisciplinary research focused on steroid biology and physiology, cell differentiation, cellular metabolism, biochemistry, cell biology, computational biomedical investigation, preclinical study of drug efficacy, and clinical relevance</p>
<div>
Responsibilities:<br>
<ul><li>Conduct independent research in biochemistry, cell biology, histopathology, physiology, and molecular biology.</li><li>Develop and implement innovative research plans.</li><li>Collaborate with faculty and researchers.</li><li>Mentor and train postdoctoral fellows, students, and lab technicians.</li><li>Publish research findings in high-impact journals.</li><li>Apply for intramural and extramural funding to support research initiatives.</li></ul></div>
<p>
The University of Florida, a member of the AAU, is the largest and most comprehensive public university in the State of Florida, with large undergraduate, graduate, and postgraduate educational programs. The UF Health Science Center and its six colleges are co-located on the Gainesville campus, with additional teaching, research, and patient care sites in Jacksonville, Orlando, other sites across Florida, and internationally. Resources available for professional development at the University of Florida Health Sciences Center include leadership, education, and research tracks within a Clinical Translational Science Institute (CTSI), formal mentorship programs, and supported opportunities for teaching and research.</p>
<p>
Foreign national candidates whose employment conditions meet federal and University requirements under an immigrant classification are eligible to apply.</p></div><br>
</div><br>
<div><div><b>EXPECTED SALARY:</b></div>
<div>
<p>Salary is negotiable, commensurate with education and experience.</p></div><br>
</div><br>
<div><div><b>REQUIRED QUALIFICATIONS:</b></div>
<div>
<ul><li>PhD, MD, MD/PhD or equivalent degree in biomedical sciences.</li><li>Completion of postdoctoral training with an outstanding publication record.</li><li>Innovative research plan relevant to molecular biology and biochemistry.</li></ul></div><br>
</div><br>
<div><div><b>PREFERRED:</b></div>
<div>
<ul><li>Experience with small animal surgery and non-invasive animal (mouse and rat) imaging in research.</li><li>Previous involvement in interdisciplinary research projects.</li></ul></div><br>
</div><br>
<div><div><b>SPECIAL INSTRUCTIONS TO APPLICANTS:</b></div>
<div>
<p>Please attach curriculum vitae and three letters of recommendation.</p>
<p>
Final candidate will be required to provide official transcript to the hiring department upon hire. A transcript will not be considered &quot;official&quot; if a designation of &quot;Issued to Student&quot; is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.</p>
<p>
Application must be submitted by 11:55 p.m. (ET) of the posting end date.</p></div><br>
</div><br>
<div><div><b>HEALTH ASSESSMENT REQUIRED:</b></div> <div>Yes.</div></div></div><br>
</div>
</div><p></p><div><p><b>ADVERTISED:</b></p>
<div>12 Mar 2026</div> Eastern Daylight Time<br>
<p><b>APPLICATIONS CLOSE:</b></p>
<div><div>26 Mar 2026</div></div>
Eastern Daylight Time</div></div><p></p>

Assistant Scientist - Pulmonary, Critical Care & Sleep Medicine

New York University Abu Dhabi

<div>
 The Center for Technology, Economics, and Development (CTED) at New York University Abu Dhabi (NYUAD) invites applications from individuals to be appointed as a Junior Research Scientist (AI-Blockchain Project) for a one-year period, with the possibility of renewal conditional on excellent performance.
 <br/>
 <br/>
 The Junior Research Scientist (AI-Blockchain Research) will support advanced, quantitatively intensive research at CTED with a primary focus on artificial intelligence, machine learning, mathematical modeling, and computational analysis. The Junior Research Scientist will play a central role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED&rsquo;s interdisciplinary projects. Working under the direction of the Principal Investigator (PI), Dr. Yaw Nyarko, and Co-Principal Investigator (Co-PI), Dr. Ra&scaron;a Karapand&zcaron;a, the Junior Research Scientist will contribute to AI-driven and blockchain-enabled research related to commodities markets and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical proofs; implement optimization and simulation-based methods; and analyze large and complex datasets. Responsibilities include supporting experimental and field-based research, preparing literature reviews, translating complex AI and mathematical findings into clear written outputs, and contributing to research reports, concept notes, and academic publications.
 <br/>
 <br/>
 Candidates must hold a Master&rsquo;s degree in Computer Science, Data Science, Mathematics or a related field (e.g., Economics with a strong mathematics background). and have less than five years of relevant research experience; or hold a Bachelor&rsquo;s degree in a relevant field with any level of research experience. Applicants must have extensive coding experience, and preferably, applicants will have experience conducting field research in emerging countries and working on randomized controlled trials (RCTs). Applicants with experience working in programming languages such as Python, JavaScript, and/or MATLAB, a strong interest in economic and quantitative research and the willingness to learn about the blockchain, are encouraged to apply. Experience in web development, blockchain, commodities markets, and technology and economic development will be considered a plus. The successful candidate will work in a multidisciplinary environment, working autonomously, but as a team member under the direction of the Principal Investigator.
 <br/>
 <br/>
 The terms of employment are very competitive. Applications will be accepted immediately, and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae/resume, transcript of degree, and one academic writing sample, and 2 contact references, all in PDF format. If you have any questions, please email amp330@nyu.edu.
 <br/>
 <br/>
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 <br/>
 <br/>
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 https://nyuad.nyu.edu/en/
 <br/>
 <br/>
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 <br/>
 <br/>
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 <br/>
 <br/>
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 <br/>
 <br/>
 Working for NYUAD
 <br/>
 <br/>
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 <br/>
 <br/>
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 <br/>
 <br/>
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Junior Research Scientist in the Division of Social Science (CTED) - Dr. Yaw Nyarko

Cerebro

<div>
 <p>
  Are you ready to pioneer the future of AI? We&rsquo;re seeking a
  <strong>
   Research Scientist
  </strong>
  with expertise in training
  <strong>
   Multimodal Large Language Models (MLLMs)
  </strong>
  to join an ambitious, cutting-edge team working at the intersection of
  <strong>
   AI, deep learning, and human expression.
  </strong>
  This role offers a unique opportunity to define the next wave of AI innovation by building the
  <strong>
   first real-time human foundation model
  </strong>
  that integrates text, speech, facial expressions, and body language. If you&rsquo;re passionate about pushing research boundaries while delivering real-world applications, we&rsquo;d love to hear from you.
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  As a Research Scientist, you&rsquo;ll drive the development of advanced systems capable of
  <strong>
   understanding and generating lifelike, human-like responses
  </strong>
  in real-time. This unified model will:
 </p>
 <ul>
  <li>
   <strong>
    Understand fine-grained human signals
   </strong>
   &mdash; from a subtle change in tone to a quirked eyebrow &mdash; and infer meaning in context.
  </li>
  <li>
   <strong>
    Generate lifelike, responsive avatars
   </strong>
   whose gestures, expressions, and tone evolve frame-by-frame to deliver genuine, social, and emotionally intelligent interactions.
  </li>
 </ul>
 <p>
  This is an opportunity to tackle blank-page problems and shape foundational technology in an area where real-time, multimodal interaction is still an
  <strong>
   unsolved frontier.This Role is Perfect for You If You...
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Have a PhD
   </strong>
   (or equivalent experience) in training multimodal large language models, autoregressive architectures, or related fields, with a proven track record of publishing groundbreaking research.
  </li>
  <li>
   <strong>
    Excel at deep learning
   </strong>
   and know how to run the entire ML pipeline &mdash; from data preparation and rapid prototyping to large-scale model training, benchmarking, and evaluation.
  </li>
  <li>
   <strong>
    Thrive in ambiguity
   </strong>
   and enjoy charting your own path to solve complex, unstructured challenges.
  </li>
  <li>
   Are passionate about
   <strong>
    bridging research breakthroughs with real-world applications.
   </strong>
  </li>
  <li>
   Write
   <strong>
    clean, efficient code
   </strong>
   that scales and stands the test of time.
  </li>
  <li>
   Collaborate effectively with a diverse team of brilliant minds from different domains.
  </li>
 </ul>
 <p>
  <strong>
   Why Join Us?
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Shape the future of AI:
   </strong>
   This is a rare opportunity to work on foundational technology that unites text, speech, and vision into a cohesive, real-time system &mdash; tackling problems others haven&rsquo;t solved yet.
  </li>
  <li>
   <strong>
    Be part of a world-class team:
   </strong>
   Work alongside PhDs from top institutions like MIT, UW, and Oxford, with decades of combined experience at leading companies like Apple and Meta.
  </li>
  <li>
   <strong>
    Frontier research meets real-world impact:
   </strong>
   Our team has a proven track record of advancing AI avatars and audio-visual generation, publishing at top conferences, and shipping real-time ML products used by millions.
  </li>
  <li>
   <strong>
    Collaborate in-person:
   </strong>
   Join us at our Seattle HQ, where our team works together 5 days a week to drive innovation forward.
  </li>
 </ul>
 <p>
  <strong>
   Key Details
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Location:
   </strong>
   Seattle, Washington (In-person collaboration, 5 days/week)
  </li>
  <li>
   <strong>
    Funding:
   </strong>
   $10M seed round backed by Accel, South Park Commons, Lightspeed, and top angels from the AI industry.
  </li>
 </ul>
 <p>
  <strong>
   What We&rsquo;re Building
  </strong>
 </p>
 <p>
  We&rsquo;re creating the
  <strong>
   first human foundation model
  </strong>
  that operates across text, speech, facial expression, and body language in real time. The goal? To make AI
  <strong>
   socially and emotionally intelligent,
  </strong>
  able to interpret subtle human signals and respond in a way that feels truly human.The industry has made strides in areas like voice AI and avatar visuals, but existing solutions remain fragmented. This role offers the chance to be a
  <strong>
   trailblazer
  </strong>
  in a field where the boundaries are still being defined.
  <strong>
   How to Apply
  </strong>
 </p>
 <p>
  If this sounds like the challenge you&rsquo;ve been looking for, let&rsquo;s connect! Apply now to join a team that&rsquo;s reshaping the future of AI &mdash; one lifelike interaction at a time.
  <strong>
   Note:
  </strong>
  This posting is intentionally anonymized to respect client confidentiality. We look forward to hearing from innovative thinkers ready to make an impact.
 </p>
 <p>
  Auto
 </p>
 <p>
 </p>
</div>


AI Research Scientist - MLLM Training

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Your key responsibilities
 <br/>
 <br/>
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 To qualify, you must have
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 8 years of experience in developing AI algorithms for various modalities
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Senior Applied Scientist

<div></div><div><div>Job Description:</div><div></div><div><div>
Job Description</div></div><div><div><div><div><div><div><div><div><div><div>
AI Experimental Systems Research Scientist (Causal Learning &amp; Adaptive Experimentation)</div><div></div><div>
Collaborate with Innovative 3Mers Around the World</div><div>
Choosing where to start and grow your career has a major impact on your professional and personal life, so it&rsquo;s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.</div><div></div><div>
This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.</div><div></div><div>
The Impact You&rsquo;ll Make in this Role</div><div></div><div>
As an AI Experimental Systems Research Scientist in 3M&rsquo;s Corporate R&amp;D organization, you will work on a small, deeply technical team developing foundational methods for always-on learning systems that reason, experiment, and adapt in complex, non-stationary environments. This role exists because learning systems that do not actively preserve identifiability, causal validity, and epistemic calibration fail in principle&mdash;not merely in performance.</div><div></div><div>
You will collaborate closely with researchers across statistics, cognitive science, and machine learning to design systems in which experimentation, inference, and uncertainty are first-class components of the learning process itself. This is not a conventional data science or applied machine learning role. The work focuses on how learning systems must structure experiments, manage interference and delayed effects, govern their own representations, and remain epistemically correct over time.</div><div></div><div>
This role is well suited for someone who enjoys working from first principles, designing rigorous experimental machinery, and translating statistical theory into systems that operate continuously in the real world.</div><div></div><div>
Here, you will make an impact by:</div><ul><li><div>
Designing and implementing adaptive experimental systems that operate continuously under nonstationarity, interference, and delayed or indirect outcomes.</div></li><li><div>
Developing causal estimands, randomization schemes, and inference procedures whose primary goal is identifiability and validity, not just reward optimization.</div></li><li><div>
Embedding rigorous experimental control directly into learning systems, including experimentation on the system&rsquo;s own learning mechanisms, parameters, and representational choices.</div></li><li><div>
Translating principles from experimental design, causal inference, and sequential decision-making into robust, always-on system behavior.</div></li><li><div>
Working from whiteboards, research discussions, and evolving specifications&mdash;not fixed product requirements or static datasets.</div></li><li><div>
Implementing and maintaining research code that supports hierarchical experimentation, baseline control streams, and statistically valid online inference.</div></li><li><div>
Creating diagnostics, monitoring tools, and guardrails to ensure learning systems remain calibrated and do not stabilize spurious structure over time.</div></li><li><div>
Collaborating with interdisciplinary researchers to stress-test experimental learning mechanisms under realistic, adversarial conditions.</div></li></ul><div>
Your Skills and Expertise</div><div></div><div>
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:</div><ul><li><div>
Ph.D. in Statistics, Biostatistics, Economics, Computer Science, Data Science, Operations Research, or a closely related field (completed and verified prior to start).</div></li><li><div>
Deep grounding in experimental design and statistical inference, including randomized experiments and causal estimands.</div></li><li><div>
Demonstrated ability to implement research-grade statistical or experimental methods in a general-purpose programming language (e.g., Python).</div></li><li><div>
Experience working in research settings where the problem definition evolves and correctness takes precedence over convenience.</div></li></ul><div>
Additional qualifications that could help you succeed even further in this role include:</div><ul><li><div>
Experience with adaptive or sequential experimentation (e.g., response-adaptive trials, causal bandits, best-arm identification).</div></li><li><div>
Familiarity with causal inference frameworks spanning both design-based and model-based approaches.</div></li><li><div>
Strong intuition for identifiability, bias&ndash;variance tradeoffs, and statistical validity in complex, real-world settings.</div></li><li><div>
Experience working with nonstationary systems, concept drift, or delayed feedback loops.</div></li><li><div>
Experience reasoning about interference, carryover effects, time-varying treatments, or non-independent experimental units.</div></li><li><div>
Comfort designing experiments where the learning process itself is the object under experimental control.</div></li><li><div>
Familiarity with hierarchical or clustered experimental designs and multi-level inference.</div></li><li><div>
Interest in foundational questions about how autonomous systems should reason, experiment, and adapt in the world.</div></li><li><div>
Ability to communicate complex statistical ideas clearly to interdisciplinary collaborators.</div></li><li><div>
Curiosity, intellectual humility, and a strong preference for epistemic correctness over short-term performance gains.</div></li></ul><div></div><div>
Work location: Remote in the United States</div><div>
Travel: up to 20% domestic travel</div><div>
Relocation Assistance: May be authorized for relocation to Maplewood, MN</div><div></div><div>
Supporting Your Well-being</div><div>
3M offers many programs to help you live your best life &ndash; both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.</div><div></div><div>
Chat with Max</div><div>
For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.</div></div></div></div></div></div></div></div></div></div><div></div>
Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate&rsquo;s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental &amp; Vision, Health Savings Accounts, Health Care &amp; Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/.<div></div>
Good Faith Posting Date Range 03/09/2026 To 04/08/2026 Or until filled<div></div>
All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.<div></div>
Learn more about 3M&rsquo;s creative solutions to the world&rsquo;s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.<div></div>
Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.<div></div>
Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.<div></div>
Pay &amp; Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/<div></div>
3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.<div></div><div>
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.</div><div></div><div>
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AI Experimental Systems Research Scientist (Causal Learning & Adaptive Experimentation)

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 The laboratory of Dr. Djellel Difallah in the Division of Science, New York University Abu Dhabi, seeks a Post-Doctoral Associate or a Associate Research Scientist to join a lab focused on applied machine learning.
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 The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience.
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  Skills
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 The ideal candidate is self-motivated and can work independently, has a passion for AI and its applications, and is willing to learn new technologies. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include:
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   Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems
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   Graph Theory/Network Science
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   Python, and up-to-date machine learning libraries
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   Excellent written and verbal communication skills
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   Track record of publishing in top tier conferences
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 For consideration, applicants need to submit a cover letter, curriculum vitae, list of publications (if applicable), a 1-page statement of research interests, and three letters of reference. If you have any questions, please email: djellel@nyu.edu
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  About NYUAD
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 NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU&rsquo;s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.
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 EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer
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 UAE Nationals are encouraged to apply.
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  Equal Employment Opportunity Statement
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  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
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 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
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  Sustainability Statement
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 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
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Associate Research Scientist/ Post-Doctoral Associate in the Division of Science (Computer Science) - Dr. Djellel Difallah

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