Researcher jobs in Newark, NJ - 1,000 jobs

A leading educational institution in New York is seeking a highly motivated Postdoctoral Researcher to contribute to advanced research in Experimental Solid Mechanics. The successful candidate will investigate material behavior under dynamic loading conditions and utilize advanced experimental techniques. A Ph.D. in relevant fields is preferred, along with strong problem-solving and communication skills. This role offers an exciting opportunity for collaboration in multidisciplinary teams. #J-18808-Ljbffr

Research Associate Type: Full-Time Salary Range: $60k to 64k/PA base + uncapped monthly bonus Our client a fast-growing global research and consulting firm that connects leading financial institutions, consulting firms, healthcare Firms, and corporations with industry experts to support strategic decision-making. The team specializes in facilitating expert interviews, surveys, and insights across a wide range of industries and markets. Why Join This is an exciting opportunity to kickstart your career in research, business development, and client engagement. As a Research Associate, you'll help top-tier clients-like investment funds and consulting firms-gain insights by identifying and connecting them with subject matter experts across industries. You'll gain exposure to a wide variety of sectors, from eCommerce to energy, healthcare to finance, all while building your business acumen, communication skills, and strategic thinking. Responsibilities: Own end-to-end execution of multiple client research projects simultaneously Analyze client briefs to understand research objectives and key pain points Conduct high-level industry research to identify relevant expert profiles Source, screen, and recruit industry experts (C-suite, senior executives, specialists) Develop screening questions and qualification criteria for expert selection Communicate directly with hedge funds, private equity firms, and consulting clients Negotiate expert consultation rates independently Coordinate scheduling, onboarding, and delivery of expert consultations Manage international and cross-office projects with senior stakeholders Build long-term expert relationships and internal knowledge bases Qualifications Graduated in Spring/Summer 2025 or Dec 2025 with a Bachelor's degree (minimum 3.3 GPA preferred) 6-12 months of work or internship experience in a fast-paced, client-facing or research-oriented environment Excellent verbal and written communication skills Strong research, organizational, and time-management skills Team-oriented with the ability to work independently under tight deadlines Entrepreneurial mindset with a desire to learn and grow Leadership experience through internships, student organizations, or part-time work Fluency in English (other languages are a plus) Comfortable speaking with senior-level professionals and building rapport quickly Ideal Candidate Profile Smart, curious, and commercially minded Comfortable with ambiguity and fast turnaround times Competitive but collaborative Coachable and receptive to feedback Confident, polished, and professional Who Succeeds in This Role? Someone who is curious, solutions-driven, confident, and professional. You'll thrive if you're a natural communicator, quick learner, and team player who enjoys connecting people and solving business problems.

The Fine Lab The Fine lab is a Neuro-oncology research group that makes use of complex 3D human brain tumor models (GLICOs: ********************************************* ********************************************* to perform translational research into glioblastoma. We are a diverse, multinational and interdisciplinary team (MD/PhDs, cell/ molecular biologists, veterinarians & bioinformaticians) with a vibrant research and training environment in the Tri-Institutional Campus of New York City. We have secure funding and exceptional access to patient tissue/cell lines, as well as cutting edge scientific resources and training. The Role The successful candidate will be trained to work with embryonic stem cell-derived cerebral organoids interfaced with tumor stem cell biology, to facilitate High Throughput drug screenings. They will be a key personnel of the incipient Starr Foundation Cerebral Organoid Translational Core and will report to its supervisor. In achieving this goal, the candidate will have the opportunity to perform, and receive training in, a wide range of laboratory techniques including: reprogramming of induced pluripotent stem cells (iPSCs), embryonic and induced pluripotent stem cell culture, the generation and culture of cerebral organoids and tumor organoids and the use and development of cell based assays to test novel therapeutic drug candidates, and cutting edge gene editing and molecular biology techniques. They will be an integral member of the lab with the ability to work independently, contribute to experimental design, interpret and present your results to the wider team, and receive recognition through authorship on published work. Job responsibilities Collect and process biological patient specimens to establish glioma stem cell lines. Perform routine human iPSC/ESC culture. Generation and maintenance of hESC-derived cerebral organoids. Perform 2D and 3D high-throughput drug screening using luminescence-based assays. Prepares and maintains detailed records, logs and summary reports of all procedures and results including graphs, scientific calculations, and statistical analysis charting. May run routine biochemistry assays including western blotting and RT-PCR. May perform routine molecular biology laboratory procedures, such as PCR, DNA electrophoresis, cloning and DNA preparation. May perform microscopic imaging analyses. Minimum requirements: • Commitment to delivering meaningful advancements that directly enhance patient care and well-being. • Bachelor's degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry) or equivalent practical experience. • One year ‘wet lab' work experience, including mammalian cell culture. • Strong teamwork skills with a proven ability to effectively interact and collaborate with other scientific disciplines. • Must currently be authorized to work in the United States to ensure immediate onboarding and integration into the team. Preferred qualifications • Master's or Ph.D. degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry). • Experience culturing human stem cells (hESCs/ iPSCs) and 3D models. • Significant hands-on cell based assays for high throughput drug screening. • Experience generating stable, genetically engineered cell lines; working with lentivirus. • Experience in biochemistry assays including western blotting and RT-PCR. The position will be subject to annual approvals based on performance, with a starting salary commensurate with qualification and experience. It will require flexibility to work a few hours twice per month over the weekend given the nature of cerebral organoid generation procedures. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. Minorities are strongly encouraged to apply.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you'd have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. Excellent written and verbal communication skills Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000-$315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . 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The Lappalainen & Sanjana Labs at the New York Genome Center (NYGC) are looking for a motivated individual to work as a Postdoctoral Research Associate within a highly creative and dynamic research team of scientists, computational biologists, bioengineers, and human geneticists. The successful candidate will be jointly mentored by Drs. Tuuli Lappalainen and Neville Sanjana at the intersection of statistical genetics and functional genomics analyses and tech development and have the opportunity to also be affiliated with New York University. About the labs The Sanjana lab works at the intersection of genomics and bioengineering. We are curious about many things and are passionate about what we do. We primarily develop new technologies for hacking and understanding biological systems. We try to learn from nature and to re-purpose what we learn to gain deeper insights into how genomes and neural systems function. In the lab, we modify genomes, perform high-throughput screens, differentiate human neurons from stem cells, watch synapses rewire, find vulnerabilities in cancer cells and have a lot of fun in the process. We aim to have a tangible impact on improving human health by creating new biological tools and fundamental biological discovery. The Lappalainen lab studies functional genetic variation in the human populations by analyzing how genetic variants affect molecular and cellular traits, and how these cellular changes contribute to genetic risk for both common and rare diseases and traits. We analyze these questions both by computational analysis of large genomic, transcriptomic and multi-omic data sets, and by experimental approaches. Our lab includes experts across the field of systems genetics, from statistical genetics and genomics to molecular genomics. About the position We are looking for a postdoctoral scientist eager to understand the impact of human genetic variation on gene expression and phenotypes at the cellular, tissue and physiological levels. This position will be at the intersection of computational and wet-lab work, with co-mentorship by both PIs and membership in both labs. The projects for the postdoctoral scientist combines cutting-edge human genetics and genome technology development, with possible projects in CRISPR and single-cell multi-omics, and its integration with GWAS and eQTL data, including novel data from projects such as Developmental GTEx. Recently, the Sanjana and Lappalainen labs developed STING-seq (Systematic Targeted Inhibition of Noncoding GWAS loci with sequencing): content/10.1101/2021.04.07.438882v1. We seek to extend STING-seq to new cell types (including primary cells) and develop next-generation genome editing approaches to answer fundamental questions in human genetics, GWAS and disease biology. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment. To be considered for this role, please provide: 1) CV with a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information with your application. The ideal candidate will hold a PhD or MD-PhD, have prior research experience in any of the following: molecular biology, statistical genetics, biochemistry, computational biology and/or functional genomics and will have prior peer-reviewed publications. The candidate will be expected to plan and carry out research tasks independently and write-up/present findings on a regular basis. This position can be tailored to a candidate with strong molecular biology skills who are looking to improve their computational skills, or to a candidate with a stronger background in computational genetics or genomics looking to develop expertise in cutting-edge experimental methods. About NYGC: A cutting-edge environment for genomics NYGC is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Salary The pay for this position is $88,000; this includes $70,000 base pay and an $18,000 per year taxable housing allowance. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: **************** Research Intern on Generative AI for Content Creation Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie, game, and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game, and music production across entertainment studios worldwide. Responsibilities As a research intern, you will investigate and apply novel algorithms related to: The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution. Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts. Required Qualifications Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related fields. Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing. Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch) and visualization (e.g., TensorBoard). Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, and ICML. Excellent communication and presentation skills. Preferred Qualifications Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $45.00 per hour. The individual will be paid hourly and eligible for overtime . All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at ******************* or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: ***************** Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact ******************* before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)

Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making fundamental progress in AI. Individuals in this role are expected to conduct cutting-edge research in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, natural language processing, representation learning, optimization, reinforcement learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence Minimum Qualifications * Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Currently has or is in the process of obtaining a PhD degree in Computer Science or a similar field. Degree must be completed prior to joining Meta * Research background in machine learning, natural language processing, computer vision, computational statistics, applied mathematics, or related areas * Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research * Experience solving analytical problems using analytic and quantitative approaches * Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment Preferred Qualifications * First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar) * Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment * Experience solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward * Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions Responsibilities * Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results * Work with a large team * Help identify long-term ambitious research goals as well as intermediate milestones * Prioritize research that can be applied to Meta's product development * Mentor other team members. Play a significant role in healthy cross-functional collaboration About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Our goals are to give you a real sense of what it's like to work at Jane Street full time as a Machine Learning Researcher, and a truly unparalleled educational experience. You'll work side by side with experienced ML Researchers on projects that we've selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models. At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what's possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. Trading poses unusual challenges-large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques. You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we're still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes. Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication. About You If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. You should be: A PhD student or postdoc working on empirical ML research problems, or someone with equivalent research experience Interested in applying logical and mathematical thinking to all kinds of problems Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains Fluent with a versatile set of models and tricks Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework Eager to ask questions, admit mistakes, and learn new things If you'd like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street's internship program here. If you're a recruiting agency and want to partner with us, please reach out to **********************************.

Our summer program, while flexible on timing, will ideally run at least 10-weeks and provide Summer Interns the opportunity to work side by side with multiple investment professionals across sectors. This program provides direct exposure to the role of a discretionary investment analyst. You'll learn firsthand what it is like to work in a dynamic environment driven by the market, including: * Research broader market factors and themes as well as dive deeper into verticals within tech, healthcare, consumer, energy, industrials and financials. Develop fundamental analysis skills to identify attractive investment opportunities in both public and private equities. * Leverage alternative datasets to perform various types of diligence on both private and public companies. * Develop your technical acumen and communication skills. * Facilitate relationships with the street and build partnerships with banks across the sell-side. * Research and support strategies within the firm's current trading framework. * Collaborate with other groups across the firm. * Attend sessions with senior leaders discussing their expertise and career paths. * Consideration for full-time employment upon graduation. Required Qualifications: * Experience in researching and analyzing companies' fundamental business drivers - ideally through prior internship experience or in a related position. Modeling skills are preferred but not required. * Demonstrate passion for both investing and industry trends in the public markets. * Excellent writing skills and ability to quickly synthesize thoughts and organize information. * Creative thinking and problem-solving skills alongside a willingness to take initiative. * An openness to tackle any project or task that is required. * Investing background and grasp for financial markets, and valuation / accounting principles - includes degrees in Business Administration, Economics, Statistics, or related subjects. * Strong communication skills and ability to work well with colleagues across multiple teams and regions. * Fluency in English is required. The minimum base salary for this role is $150,000 if located in New York. This expectation is based on available information at the time of posting. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates' compensation and benefits will be determined in consideration of various factors.

Agency Dept of Administration Division Youth Advocacy , Involvement Office Job Classification Title S-Education & Training (S) Number 60014049 Grade TS About Us The NC Department of Administration is the business manager for North Carolina state government. The department oversees Government Operations such as building construction, purchasing and contracting for goods and services, maintaining facilities, managing state vehicles, acquiring and disposing of real property, and operating auxiliary services such as courier mail delivery and the sale of state and federal surplus property. Additionally, the department manages many of the state's advocacy programs that provide assistance and services to diverse segments of the state's population that have been traditionally underserved. Description of Work Knowledge Skills and Abilities/Management Preferences Agency: Natural and Cultural Resources Division: Aquariums Job Duties: Interns will gain hands-on experience working on various conservation research projects at the North Carolina Aquariums lab at the NCSU Center for Marine Sciences and Technology in Morehead City, NC. Because we have a variety of ongoing projects, students would have some choices of research projects. Our aim is to offer a wide range of experiences, including field work in coastal habitats, with a diversity of conservation projects. Major Task to be Performed: Research will be conducted under the daily supervision of Dr. Carol Price, the conservation research coordinator. One of the largest projects students will work on is Spot A Shark USA (SAS). The student working with SAS will learn how to process sand tiger shark images that are uploaded by citizen scientists using an image analysis software. The spots on the sides of the sharks are digitally mapped, resulting in a library of uniquely identified individuals. This collective database of sharks is being used to understand how sand tiger sharks use the shipwreck habitats off the North Carolina coast. Other projects include headstarting the Carolina gopher frog (a native species of frog with highly decreased population being considered for listing under the Endangered Species Act) for release back into ponds in the Croatan National Forest, and monitoring Crystal skipper (an endemic butterfly) populations on the barrier island. Additional opportunities may be developed that align with Aquarium needs and intern interests or skills. Final Product or Outcome Anticipated: Interns will gain experience with methods for conducting research, data management, research software, data analysis, report writing, scientific communication and project organization Academic Majors Desired: Biology/Ecology, Marine Biology, Animal Behavior, Zoology, Environmental Science, Science Education, Science Communication 2026 State of North Carolina Internship Period: Monday, May 18 - Friday, July 24, 2026 Knowledge, Skills and Abilities / Competencies: No prerequisite experience or skills are required, though an understanding of basic biological principles is useful. Minimum Education and Experience Requirements: An applicant must be a permanent North Carolina resident attending a college, university, law school, community college or technical institute in North Carolina or a North Carolina resident attending an equivalent institution out of state. Applicants must carry a 2.5 or greater overall grade point average on a 4.0 scale. Applicant must be a high school graduate and at least 18 years old by January 1, 2026. Applicants must be continuing their education in the fall following their participation in the program. To qualify for a law internship, applicants must have completed at least one year of law school before the beginning of the internship, unless other majors are listed. Students having previously held paid internships with this program are not eligible to apply. Applicants must be willing and able to work full-time for the entire 10-week internship. Applicants must be able to provide legal proof of identity and work authorization within three working days of employment. This position will close at 11:59 p.m. the night before the end date. Minimum Education and Experience Some state job postings say you can qualify by an “equivalent combination of education and experience.” If that language appears below, then you may qualify through EITHER years of education OR years of directly related experience, OR a combination of both. See the Education and Experience Equivalency Guide for details. EEO Statement The State of North Carolina is an Equal Employment Opportunity Employer and dedicated to providing employees with a work environment free from all forms of unlawful employment discrimination, harassment, or retaliation. The state provides reasonable accommodation to employees and applicants with disabilities; known limitations related to pregnancy, childbirth, or related medical conditions; and for religious beliefs, observances, and practices. Recruiter: Jeanene McBride Recruiter Email: ***********************

Dandy is transforming the massive and antiquated dental industry-an industry worth over $200B. Backed by some of the world's leading venture capital firms, we're on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world-empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients. Is a CAD/3D internship right for you? Are you passionate about performant graphics, optimizing geometric computations on the web, novel 3D algorithms to unsolved problems, intuitive and user obsessed 3D UI and visualizations or design for manufacturing concepts? These are just some of the types of work and innovation the CAD/3D team leverages to accelerate our company's growth and success. Join a team where we build tools and experiences that drive impact in our product quality, delight our customers, push operational efficiency and automation past the industry defined limits. About Dandy Dandy is a fast-growing health-tech startup transforming the $400B dental industry through groundbreaking advances in Generative AI and robotics. We reached our first $100M in revenue in under two years-faster than companies like Uber, Slack, and Shopify-and our rapid growth has continued over the past two years. The company is backed by top-tier investors including Primary, Greenoaks, and General Catalyst. We've built the largest ML and CAD engineering teams in dentistry, drawing exceptional talent from leading organizations such as Google DeepMind, Amazon, and Waymo. Our full-stack engineering teams tackle complex challenges across platform architecture, supply chain optimization, and SaaS product development. Research is core to our culture, and our team includes authors of award-winning work, including ICML Best Paper. At Dandy Engineering, you will Tackle frontier problems in 3D dental prosthetic design- consuming and refining the outputs of generative AI models or perception layers. We promise that your work will be way beyond prompt engineering and wrapping around 3P APIs: you'll scope algorithms, design, iterate and deploy real solutions that drive meaningful commercial impact at scale. Design and implement advanced computational geometry algorithms that power rapid, accurate design of custom 3D prosthetics for manufacturing. Build advanced optimization algorithms to orchestrate a complex supply chain with millions of interdependent components, enabling speed, reliability, and automation. About Dandy Research Internship Internships will be in-person in our downtown Manhattan office with opportunities to learn directly from our Co-Founders, Head of Engineering, and other members of the engineering leadership team. Our internship offers equity, encourages publication, and provides the opportunity to convert to a full-time role. Applicants must be currently enrolled in a PhD program in a relevant discipline. Req ID: J-843 For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off-ensuring our team members are supported no matter where they live and work. Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!

Department: Technology, R&D Reports to: CTO About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description We are seeking a Postdoctoral Researcher in Quantum Optics to join our research and development team focused on QCi's entropy quantum computing solutions. This position is structured as a one-year contract, with the opportunity for extension based on satisfactory performance and mutual consent by both parties. The role emphasizes theoretical modeling and simulation of quantum photonic devices and systems and requires strong expertise in quantum optics. The successful candidate will collaborate closely with both the high-performance computing application team and the entropy computing hardware team to advance QCi's next-generation computational technologies. Duties and Responsibilities * Develop and apply theoretical models of quantum photonic devices and systems relevant to entropy quantum computing. * Perform simulations of optical components, integrated photonic circuits, and light matter interactions to guide device design. * Explore new architectures in quantum optics that enhance the efficiency and scalability of entropy-based computing solutions. * Contribute to algorithm-hardware co-design by identifying opportunities where photonic implementations provide competitive advantages. * Explore and develop quantum algorithms compatible with entropy computing in collaboration with the scientific computing group at QCi. * Publish and present research outcomes in journals and conferences. Required Skills and Experience * PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field with a focus on theoretical quantum optics. * Deep expertise in quantum optics, including fields such as quantum coherence, entanglement, cavity/circuit QED, or nonlinear optics. * Strong background in mathematical modeling and numerical simulation of photonic or quantum systems. * Proficiency in scientific programming languages such as Python, MATLAB, or C++. * Demonstrated research record with publications in leading journals. * Strong communication skills and ability to work collaboratively across interdisciplinary teams. Preferred Qualifications * Familiarity with quantum information science, quantum computing, or related computational approaches. * Experience with integrated photonics, waveguide-based systems, or light-matter interaction models. * Knowledge of statistical physics approaches to open quantum systems and noise modeling. * Industry, government, or academic R&D experience in quantum technologies. * Experience mentoring junior researchers or working in collaborative project teams. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

_ 24000LP1 Research Associate Summer Intern (Campus) Job Type : Internship Organization : MARKPrimary Location : United States-New York-New York Missions Who You'll Work With: Bernstein prides itself on its best-in-class Research Associate program; our Associate alumni are numerous across the investment management industry and within the ranks of our highly-rated Senior Analysts. We are looking for highly motivated college juniors and Master's students to join our premier Equity Research platform for a 10-week internship program in our New York office. If you love research, Bernstein could be a great fit for you! Our summer interns learn about and contribute to the research we are known for: thematic, industrial strength, collaborative, data-driven, bottom up, and always differentiated. You will be assigned to a sector team (such as US Food, Internet, Insurance, etc) and work closely with a Senior Analyst and other Associates who will mentor and develop you. What You'll Do: As a Summer Research Associate you will: · Build expertise in your sector working with a seasoned industry expert and other Associates · Learn in-depth analysis of the sector, companies and stocks by working with your team through a quarterly earnings cycle · Complete a significant project and deliver a presentation to senior management · Attend Bernstein Summer School learning and development programs · Interact with peers in research, sales, and trading through a variety of networking and social activities Profile What We're Looking For: Our Summer Research Associates are rising seniors or in the final year of their master's programs, and typically have track records of outstanding academic performance. For research roles, it's important that you have excelled and thrived in a rigorous academic environment. We look carefully at your academic background (including grades, tests, and fields of study) for evidence of the following: · Excellent broad-based analytical skills · Outstanding verbal and written communication skills · Strong quantitative backgrounds and ability to work with data sets, including engineering, math and science degrees · Relentless intellectual curiosity · We look for consummate team players who seek an intellectual and collegial environment for their development.Why Join Us _Business Insight _

Job DescriptionDescriptionOverview The Strategy & Public Impact team is The New York Public Library's central node of information and insights about its users, usage, and impact. We support decision makers and program staff across the institution through business intelligence, impact assessment, strategic conversations, user research, and data mentorship. The Patron Impact & Satisfaction Researcher will play an important role in helping the Library meet its full potential as a vital, relevant, and accessible public institution that is equitably used across our service area. Our patrons' satisfaction with the quality and outcomes of their library experience not only influences their future library use - it can also shape their views of, and support for, civic institutions and public life more broadly. The Patron Impact & Satisfaction Researcher's mandate is the development, analysis, and dissemination of survey-derived metrics tracking our patron (and broader community) experience, satisfaction, and impact, at the level of the Library overall, as well as its specific programs and services. This is a great opportunity for someone interested in applying their research and analytical skills to identifying the drivers underlying library “magic” and recommending ways to broaden and deepen it, thereby enhancing our benefit to the communities we serve. Key responsibilities Metric development: Translate outcome and impact goals from internal logic models into a core set of experience, satisfaction, and impact measures for specific offerings, and for the Library overall Survey development and testing: Operationalize these metrics into survey questions to be administered to patrons and community members Data infrastructure: Build the process by which these metrics are regularly gathered, at scale, in living data streams across the Library's physical and digital touchpoints Data monitoring: Develop approaches to continuously track patterns in metrics Data analysis: Determine the core drivers underlying experience, satisfaction, and impact across time, location, audience, and at key points in service life cycle Synthesis with other research: Build bridges between these metrics and the Strategy & Public Impact team's other data streams, marrying trends and insights from survey responses to patterns of usage (e.g. attendance, borrowing) Opportunity identification: Make programmatic and policy recommendations to better fulfill unmet patron and community needs Cross-team communication and partnership: Share trends, insights, and recommendations with program and operational partners across the Library, collaborating on actionable improvements to experience, satisfaction, and impact In 1 month, the Patron Impact & Satisfaction Researcher will: Get acquainted with Strategy and Public Impact patron research approaches and our qualitative and quantitative data streams Learn the organizational structure of the Library, meet our key internal stakeholders, and absorb what we have already learned about our patrons and the communities they come from Get acquainted with the Library's mission and current goals of the major divisions of the institution In 3 months, they will: Become proficient in our ongoing patron research, existing metrics and key reports, and identify areas of patron experience and library impact for core metric development Join the team in creating and fielding patron and staff surveys, and drafting reports based on our findings In 6 months, they will: Take primary responsibility for survey-based research: from understanding the research questions, through translating them into survey questions and methodologies, and fielding patron and staff surveys, to analyzing and synthesizing the results Suggest ways of enriching and deepening the findings from qualitative research and surveys with other data streams (e.g., circulation or visits) Independently prepare reports communicating our findings to various internal and external audiences Join the team in raising and articulating questions driving our future research agenda Required Education, Experience & SkillsRequired Education & Certifications Bachelor's degree required, a graduate degree in social science or other relevant discipline recommended 2 years of hands-on professional experience - or an equivalent combination of education and work experience - in an applied research role involving survey and metrics development and analysis Preferred experience with survey-based research in a non-profit, educational or cultural institution setting Required Skills Strong command of survey methods and evaluation methodologies, including potential research questions and techniques and research tools/software Familiarity with core statistical techniques such as significance testing, correlation, regression, distributions, factor and cluster analysis, and basic predictive modeling Basic proficiency in R (preferred), Python, or other statistical programming language Advanced proficiency in Microsoft Office and Google apps suites, especially Excel and Google sheets Ability to systematize output from, and detect patterns within, qualitative data sets Ability to independently produce high-standard, presentation-ready deliverables Ability to clearly and persuasively communicate analytical insights and methodologies verbally, visually, and in writing to employees at all levels of the organization Ability to to establish trusting relationships within a diverse organization, across multiple levels of management and staff Demonstrated learning mindset, with a continual appetite for developing skills, asking new questions, and absorbing information Preferred: ability to communicate effectively in Spanish or Chinese Managerial/Supervisory Responsibilities More...Please Note: Effective August 2, 2021, absent a qualifying exception for medical or religious reasons, newly hired employees of the New York Public Library must present proof of receipt of a COVID-19 vaccination and may not begin employment at the Library until 14 days after their receipt of their second dose of either the Pfizer or Moderna vaccines or 14 days after their first dose of the Johnson & Johnson vaccine. Newly hired employees who need additional time to receive their vaccination prior to their start date may request an adjournment of their start date with their hiring manager. The Library will consider such requests on a case by case basis, depending upon the Library's operational needs, among other factors. The Library will further consider exemptions for prospective employees who cannot become vaccinated due to a qualifying medical condition or a sincerely held religious belief or practice. Candidates who receive a conditional offer of employment and who seek a medical or religious exemption to the Library's vaccination policy will be provided with additional instructions at the time of the conditional offer. Core Values All team members are expected and encouraged to embody the NYPL Core Values: Be Helpful to patrons and colleagues Be Resourceful in solving problems Be Curious in all aspects of your work Be Welcoming and Inclusive Work Environment Office setting (with some flexibility to telecommute 2-3 days a week, work duties and general Library policy allowing) Managerial/Supervisory Responsibilities N/A Physical Duties May require travel within NYC (related to fielding surveys, visiting NYPL branches and the communities we serve) Pre-Placement Physical Required? No Union/Non Union Non-Union FLSA Status Exempt Schedule 35 hrs/week

Department: Technology, R&D Reports to: CTO About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description We are seeking a Postdoctoral Researcher in Quantum Optics to join our research and development team focused on QCi's entropy quantum computing solutions. This position is structured as a one-year contract, with the opportunity for extension based on satisfactory performance and mutual consent by both parties. The role emphasizes theoretical modeling and simulation of quantum photonic devices and systems and requires strong expertise in quantum optics. The successful candidate will collaborate closely with both the high-performance computing application team and the entropy computing hardware team to advance QCi's next-generation computational technologies. Duties and Responsibilities - Develop and apply theoretical models of quantum photonic devices and systems relevant to entropy quantum computing. - Perform simulations of optical components, integrated photonic circuits, and light matter interactions to guide device design. - Explore new architectures in quantum optics that enhance the efficiency and scalability of entropy-based computing solutions. - Contribute to algorithm-hardware co-design by identifying opportunities where photonic implementations provide competitive advantages. - Explore and develop quantum algorithms compatible with entropy computing in collaboration with the scientific computing group at QCi. - Publish and present research outcomes in journals and conferences. Required Skills and Experience - PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field with a focus on theoretical quantum optics. - Deep expertise in quantum optics, including fields such as quantum coherence, entanglement, cavity/circuit QED, or nonlinear optics. - Strong background in mathematical modeling and numerical simulation of photonic or quantum systems. - Proficiency in scientific programming languages such as Python, MATLAB, or C++. - Demonstrated research record with publications in leading journals. - Strong communication skills and ability to work collaboratively across interdisciplinary teams. Preferred Qualifications - Familiarity with quantum information science, quantum computing, or related computational approaches. - Experience with integrated photonics, waveguide-based systems, or light-matter interaction models. - Knowledge of statistical physics approaches to open quantum systems and noise modeling. - Industry, government, or academic R&D experience in quantum technologies. - Experience mentoring junior researchers or working in collaborative project teams. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

About the People Inc. Summer Internship Program: The People Inc. Summer Internship Program is a 9 week full time, paid program that runs from June 9th - August 8th, based out of our New York office. The intern program consists of hands-on learning opportunities to create work that has an impact on the business, along with workshops in preparing you for post-college life (resume / interviewing) plus fun events throughout the summer! People Inc. is committed to diversity, equity and inclusion and representing the communities that we serve. We strongly encourage BIPOC and LGBTQIA students to apply. Deadline to Apply: Monday, January 26, 2026 Eligibility Requirements: Internships are available to current Sophomores, Juniors and Seniors at an accredited college or university. You must be available to work full time for the entire 9 weeks of the program in the NY office, 3 days a week You must have access to your own housing and transportation to/from the NY office About the Team: Experts in our audiences & brands who get to work with data that supports our iconic and beloved brands, including: People, Allrecipes, InStyle, Byrdie, BHG, Investopedia, Travel + Leisure, & more. We develop & field research as well as analyze various datasets to uncover consumer attitudes, behaviors, and perceptions across People Inc.'s core lifestyle categories, brands, & businesses. Our work combines strategic research design, data analysis, and storytelling to deliver insights that guide various parts of the business, including but not limited to advertising campaigns, account strategy, editorial content, sales and marketing narratives, licensing initiatives, and commerce strategies. Our team operates in a fast-paced, collaborative, and data-driven environment where we use primary research, People Inc's proprietary data, and syndicated data for data storytelling and strategic initiatives. About the Role: Become an expert in a specific category of our brands and audiences. Learn how to use People Inc's first party data, syndicated research, marketplace and industry studies, and primary studies to uncover insights and use them to craft compelling stories to support existing and new advertising partnerships and broader corporate initiatives. Work cross functionally with Marketing, Account Strategy, and Sales teams to help with brand management, audience expansion, and sales initiatives. Internship Responsibilities will Include: Our intern will contribute meaningfully to ongoing research initiatives. special projects, and advertising proposals. Work product may also be used to impact development of content and marketing strategies across People Inc. brands. This role will be a hybrid across our Research & Insights team which specializes in understanding user engagement using our 1st party data and our Primary Research team which manages our consumer panels & designs surveys to engage our readers. Responsibilities will include: Leveraging 1st party & various syndicated research sources to access & analyze data from a variety of sources: Looker, D/Cipher, MRI-SIMMONS, MRI/Comscore Fusion, Comscore, IPSOS Affluent, Telmar, Mintel, and Google Analytics Assisting with survey development and link testing: Support questionnaire design, proofreading, and survey programming quality checks. Weaving in cultural and market context to strengthen project narratives. Analyzing and visualizing data: Use Excel, Google Sheets, and PowerPoint/Slides to clean data, identify insights, and build visual summaries. Supporting insight storytelling: Help synthesize findings into clear, engaging decks that communicate consumer trends to internal stakeholders. Collaborating cross-functionally: Attend meetings with editorial, marketing, and insights teams to understand the real-world impact of research findings. Developing or leveraging tools that enhance the efficiency of the research department: AI agents, Google Sheet templates, etc. About You: We're looking for a motivated, detail-oriented student who is curious about people, passionate about data, and eager to learn how research drives creative strategy. Pursuing a degree in market research, marketing, communications, psychology, sociology, business, or a related field. Strong abilities working with data, identifying patterns, and drawing clear conclusions. Interest in media and the latest cultural trends. Creativity: An aptitude for storytelling, problem-solving, and innovative thinking. Communication Skills: Excellent communication, time management, and organizational skills. Dynamic Workplace: Open to new challenges and excited to grow within a fast-paced, expanding, and constantly evolving organization. Organization & Initiative: Creative and driven self-starter that can take direction and run with it, asking questions up front to ensure you're able to complete the task successfully. Technical Proficiency: Strong working knowledge of Microsoft Office (Excel, PowerPoint, Word) and Google Workspace (Sheets, Slides, Docs) Some experience with digital media is a plus but not required Familiarity with survey tools (Qualtrics, SurveyMonkey), data visualization platforms (Tableau, Flourish), LLMs and building GPT agents is a plus but not required Experience with Looker, MRI-SIMMONS, MRI/Comscore Fusion, Comscore, IPSOS Affluent, Telmar, Mintel, and Google Analytics is a plus It is the policy of People Inc. to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing *************. The Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: ********************************** Pay Range Hourly: New York: $20.00 - $20.00 The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of People Inc's total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives. In addition, People Inc. provides to employees (and their eligible family members) a variety of benefits, including medical, dental, vision, prescription drug coverage, unlimited paid time off (PTO), adoption or surrogate assistance, donation matching, tuition reimbursement, basic life insurance, basic accidental death & dismemberment, supplemental life insurance, supplemental accident insurance, commuter benefits, short term and long term disability, health savings and flexible spending accounts, family care benefits, a generous 401K savings plan with a company match program, 10-12 paid holidays annually, and generous paid parental leave (birthing and non-birthing parents), all of which may vary depending on the specific nature of your employment with People Inc. and your work location. We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance. #NMG#

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The Department of Civil Engineering and Engineering Mechanics at Columbia University is seeking a highly motivated and skilled Postdoctoral Researcher to join our team in Experimental Solid Mechanics . This is an exciting opportunity to contribute to cutting‑edge research aimed at advancing our understanding of material behavior in extreme environments experimentally, in collaboration with the computational mechanics group. The successful candidate will be involved in an experimental effort to investigate the mechanics of materials subjected to dynamic loading. The research will involve the use of advanced experimental techniques, such as digital image correlation, Hopkinson bar, and analytical tools to gain insights into the behavior of materials under various loading conditions. We are looking for a candidate with the following qualifications: Solid Mechanics Background : A strong foundation in the principles of solid mechanics, including material behavior, deformation, and failure. Experimental Techniques : Hands‑on experience with experimental methods and equipment relevant to solid mechanics testing (e.g., mechanical testing systems, strain measurement, high‑speed imaging, digital image correlation). Problem‑Solving and Analytical Skills : Ability to independently identify, troubleshoot, and solve complex experimental and analytical problems. Communication Skills : Strong written and verbal communication skills, able to present research findings to both technical and non‑technical audiences. Collaboration Skills : Proven ability to work effectively in multidisciplinary research teams Preferred Qualifications Ph.D. in Mechanical Engineering, Civil Engineering, Materials Science, or a related field. Demonstrated publication record in relevant areas of research. Experience with custom experimental setup development and instrumentation is a plus. Interested applicants should submit the following documents: A cover letter detailing research experience and interests Curriculum vitae (CV) Contact information for at least two academic references Relevant publications (optional) Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting. #J-18808-Ljbffr

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000-$315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.