machine learning researcher

Astera Institute

<div><h1 class="jobSectionHeader">Astera Institute</h1><h2 class="jobSectionHeader">
Machine Learning Researcher</h2><h2 class="jobSectionHeader">
Position Summary</h2>
Datasets in many areas, science in particular, are often small, heterogeneous, and expensive. Human scientists can take these datasets and generate models to describe them, but this process of model induction is labor-intensive and error-prone. Machine learning is a general and scalable solution, but it is not uniformly sample efficient.
The Astera Institute is seeking a Machine Learning Researcher to help surmount this barrier with new architectures for data-efficient and general model induction. This includes bootstrapped program synthesis, along with components for a system that synthesizes its own learning algorithms - a machine learning strange loop. This is a full time position that reports to Timothy Hanson.<h2 class="jobSectionHeader">
Responsibilities:</h2><ul><li>
Hypothesize, test, and refine means of improving generalization performance of common architectural elements, including different forms of attention. This includes devising controlled datasets to elucidate e.g. learning order &amp; learned representations.</li><li>
Think both mathematically and empirically about problems of runtime inference in gradient-trained networks, with an eye to the extensive literature on statistical learning.</li><li>
Contribute to a well-documented and well-instrumented code base that is performant where necessary yet expeditious where experimental throughput demands.</li></ul><h2 class="jobSectionHeader">
Qualifications and Experience</h2><ul><li>
Masters or equivalent in machine learning, mathematics, or equivalent fields (strong candidates from neuroscience are encouraged to apply).</li><li>
Fluency with Pytorch, and familiarity with JAX, CUDA, and/or Triton + their open-source ecosystems.</li><li>
Demonstrated ability do fundamental research.</li><li>
Demonstrated ability to work in teams.</li></ul><h2 class="jobSectionHeader">
About Astera:</h2>
Astera Institute is a new kind of research organization that operates outside the constraints of markets or academia, and is itself an experiment in how research organizations can move faster, take smarter risks, and create lasting public goods. Our key programs include:<ul><li>
Our Residency is a one to two-year program that supports extraordinary scientists who are producing public goods. We support not only residents&rsquo; salaries, but also budgets for them to hire a team and meet other needs to accelerate their work.</li><li>
Radial supports biotechnology-focused projects and is redefining how science should be done.</li><li>
Obelisk does fundamental research in Artificial General Intelligence to ensure it brings good to humanity.</li></ul>
Astera is uniquely positioned to shape the course of rapid scientific and technological innovation because of:<ul><li>
A $2.5B endowment, which we intend to deploy boldly rather than preserve in perpetuity.</li><li>
A small, agile team: We are staffed much more leanly than other foundations, and aim to keep bureaucracy as minimal as possible. It's more accurate to think of us as a startup than a traditional foundation.</li><li>
High risk tolerance: We take an experimental approach to our programming that means we expect projects to fail with some frequency.</li><li>
Disinterest in consensus: we add value by supporting projects, programs, and people that other organizations can&rsquo;t or won&rsquo;t.</li></ul><h2 class="jobSectionHeader">
Location</h2>
This position is hybrid at our office in Emeryville, CA. Some travel may be required from time-to-time for in-person collaboration and work.<h2 class="jobSectionHeader">
Compensation</h2>
The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location.
Compensation Range: $150K - $300K</div>

Machine Learning Researcher

Rivet Industries

<div>About Rivet
Rivet is an American company building integrated task systems &mdash; fusing hardened hardware with software, sensors, AI, and networking &mdash; for industrial workforces and defense personnel. We create capabilities that multiply the effectiveness of every individual and withstand the world&rsquo;s toughest environments. 
We serve the people who build, operate, maintain, and defend our way of life. From technicians and engineers to first responders and service members, they embody the hard work, ingenuity, and meritocratic values that drive Western prosperity. Yet too often they are forced to rely on outdated tools that fail under modern pressures. Rivet exists to reset that priority. 
At Rivet, you&rsquo;ll join a mission-driven team that fuses disciplines to deliver decisive outcomes where they matter most. Whether shaping our technology, strengthening our partnerships, or building our culture, every role here contributes to equipping the front lines with the modern systems they deserve. 
Who Thrives Here<ul><li>
People with a deep disdain for bureaucracy, empire building, groupthink, dogma, corporate babble, and wasted time</li><li>
Teammates who want to work exclusively alongside others at the top of their field</li><li>
Experienced, no-nonsense professionals who are execution-focused and deliver high-quality solutions above all else</li></ul> 
Role Description
We are seeking a talented ML Research Engineer to advance our computer vision and sensor fusion capabilities. This role combines cutting-edge research with practical implementation of machine learning pipelines for imaging, pose estimation, and model optimization. The ideal candidate will have strong expertise in Python, deep learning frameworks, and experience deploying ML models in production environments. You'll explore new ideas, validate them against the state of the art and deliver working prototypes that influence our product and research direction. 
Role Objectives<ul><li>
Implement POCs in Python/C++ to validate ML ideas on embedded hardware</li><li>
Conduct research in imaging and video processing pipelines for AR/VR applications</li><li>
Document learnings and define clear pathways from prototype to production</li><li>
Research and implement model optimization techniques for edge deployment</li><li>
Stay current with latest developments in computer vision and machine learning literature</li><li>
Prototype novel algorithms and validate performance through experimentation</li><li>
Design and implement end-to-end machine learning pipelines using PyTorch and TensorFlow Lite</li><li>
Optimize models for real-time performance on mobile and embedded platforms</li><li>
Implement MLOps best practices for model versioning, monitoring, and continuous integration</li><li>
Create scalable data preprocessing and augmentation pipelines</li></ul>
Role Requirements<ul><li>
BS with 5+ years of academic or industry experience in machine learning research or applied ML engineering with shipped or published work (or MS with 2+ yrs of the above)</li><li>
Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow)</li><li>
Experience with ML pipeline development, model deployment, and production monitoring</li><li>
Knowledge of quantization, pruning, and edge deployment techniques</li></ul><h3 class="jobSectionHeader">
Research Areas (at least one)</h3><ul><li>
Imaging/Video Pipeline: Experience with computational photography, video processing, or camera systems</li><li>
Sensor Fusion &amp; Pose Estimation: Research background in multi-sensor data fusion, tracking, or SLAM</li><li>
Model Optimization: Experience optimizing ML models for mobile/embedded deployment</li></ul><h3 class="jobSectionHeader">
Foundational Knowledge (preferred understanding)</h3><ul><li>
Camera Systems: Intrinsic/extrinsic calibration, pinhole model, distortion correction, FOV, color science, exposure control, stereo matching</li><li>
Image Processing: Demosaic, denoising, sharpening, color correction, tone mapping, gamma correction, HDR, super resolution, segmentation, white balance</li><li>
Computer Vision: Feature detection/matching, optical flow, structure from motion, 3D reconstruction, SLAM algorithms</li><li>
IMU &amp; Sensor Fusion: 6DOF/3DOF tracking, gyroscope/accelerometer/magnetometer integration, sensor calibration, sensor fusion algorithms</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
PhD in Computer Vision, Machine Learning, or related field</li><li>
Publications in top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICML)</li><li>
Experience with AR/VR or mobile computer vision applications</li><li>
Knowledge of CUDA programming and GPU optimization</li><li>
Experience with cloud platforms (AWS, GCP, Azure) for ML workloads</li><li>
Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines</li><li>
Experience with distributed training and large-scale data processing</li></ul></div>

Moreton Capital Partners

<div><h3 class="jobSectionHeader">Quant Researcher &ndash; Systematic Commodities Hedge Fund</h3>
Moreton Capital Partners is seeking a talented Quant Researcher to help build the next generation of alpha signals in commodity futures. Our research is grounded in advanced machine learning, robust testing frameworks, and a deep understanding of global commodity markets.
This role is central to our mission: you&rsquo;ll take ownership of designing, testing, and refining predictive models that directly feed into live trading portfolios.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Research, prototype, and validate systematic trading signals across commodities using advanced ML methods.</li>
<li>Design and implement rigorous backtests with realistic frictions, walk-forward validation, and robust statistical tests.</li>
<li>Engineer and evaluate novel features from prices, fundamentals, positioning, options data, and alternative datasets (e.g., satellite, weather and global commodity cash pricing).</li>
<li>Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods.</li>
<li>Develop portfolio construction and optimization techniques and analysis tools to be able to enhance performance and track effects on portfolio execution.</li>
<li>Collaborate with developers to transition research into production-ready strategies.</li>
<li>Monitor live performance, attribution, and model drift, ensuring continual improvement of the alpha library.</li>
</ul>Requirements<ul><li>
Masters or PhD in either Statistics, Economics, Computer Science.</li></ul><ul>
<li>Strong background in machine learning and statistical modelling (tree-based models, regularization, time-series ML).</li>
<li>Proficiency in Python (pandas, NumPy, scikit-learn, XGboost, PyTorch/TensorFlow).</li>
<li>Understanding of time-series forecasting, cross-validation techniques, and avoiding look-ahead bias.</li>
<li>Academic experience in research and proven ability to translate academic work to production code.</li>
<li>Prior exposure to systematic trading or financial modelling.</li>
<li>Ability to design experiments, interpret results, and iterate quickly in a research environment.</li>
</ul>Bonus points for:<ul>
<li>Knowledge of commodities (agriculture, energy, metals) or macro markets.</li>
<li>Experience with feature engineering on non-traditional datasets (options positioning, weather, satellite).</li>
<li>Experience collaborating in version control environments.</li>
<li>Familiarity with portfolio optimization, risk parity, or Bayesian model averaging.</li>
<li>Publications, Kaggle competitions, or research track record demonstrating applied ML excellence.</li>
</ul>Benefits<ul>
<li>
Direct impact: Your alphas will go live into production portfolios, with real capital behind them.</li>
<li>Research-first culture: We value deep thinking, novel approaches, and systematic rigor.</li>
<li>Close collaboration across a global team.</li>
<li>Career growth: Clear trajectory to senior researcher roles as we scale AUM and expand product lines.</li>
<li>Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.</li>
<li>Positive, inclusive and encouraging work environment.</li></ul></div>

Quant Researcher - Systematic Commodities Hedge Fund

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Currently enrolled in a PhD program in Computer Science and Engineering, Machine Intelligence and Data Science, AI, or a related technical field.</li>
<li>Experience in one or more areas of Machine Learning (e.g., Large Language Models, Deep Learning, Natural Language Understanding, Computer Vision, etc.).</li>
<li>Experience programming in Python.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Currently enrolled in a full-time degree program and returning to the program after completion of the internship.</li>
<li>Experience as a researcher, including internships, full-time, or at a lab.</li>
<li>Experience contributing to research communities or efforts, including publishing papers in conferences or journals.</li>
<li>Experience with one or more ML frameworks (e.g., TF, JAX, Flax, etc.).</li>
<li>Experience working with big-data or training a foundational model.</li>
<li>Ability to design and execute on research agendas.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google including Search, Maps, and Google Now, and is central to the success of Google Cloud and our computing, storage, and networking infrastructure.
Research Interns work with Research Scientists and Software Engineers to discover, invent, and build at scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. You are also expected to contribute to the wider research community by publishing papers.
This research internship is part of AI Innovation and Research (AIR), the applied research arm of Platforms and Devices organization. Within AIR, we focus on both foundational research and AI solutions to deliver the next generation of products in Platforms and Devices. This involves collaborating with Android, Chrome, XR, Home and other teams within Platforms and Devices.
Our work encompasses&mdash;but is not limited to&mdash;on-device intelligence, foundational models, privacy, performance optimization for resource-constrained environments, novel ML architectures and AI-driven product experiences.
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Participate in research to develop solutions for problems. 
</li>
<li>Research, conceive, and develop ML solutions to accelerate different teams in platforms and devices. 
</li>
<li>Contribute to deeper understanding of limitations of ML architectures, trade-offs and optimizations. 
</li>
<li>Lay down the next steps for adoption of the research into next generation product development.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Scientist Intern, PhD, 2026

Heriot-Watt University

<div>Position Title: Postdoctral Researcher (Adjunct Appointment)
Project title: AI Pathologist for Diverse Medical Diagnosis
Position Type: Adjunct Appointment- Contract duration 10 months(can be extended with a break between the two contracts)
Start Date: Ideally by Mid-March 2026 
<div>About Heriot-Watt University
</div>Heriot-Watt University (HWU) has five campuses: three in the UK (Edinburgh, Scottish Borders and Orkney), one in Dubai and one in Malaysia. The University offers a highly distinctive range of degree programmes in the specialist areas of science, engineering, design, business, and languages.
With a history dating back to 1821, Heriot-Watt University has established a reputation for world-class teaching and practical, leading-edge research, which has made it one of the top UK universities for business and industry. We connect with industry at every level and develop programmes to match their needs : so employers get work-ready industry-fit graduates.
Heriot-Watt is also Scotland's most international university, boasting the largest international student cohort.
We have an established set of values that help us to nurture innovation and leadership and show our commitment to continuous improvement and development in all our activities. 
<div>About School of Engineering and Physical Sciences
</div>The School of Engineering &amp; Physical Sciences (EPS) is a community of over 340 staff and around 3,000 students across three campuses in Scotland, Dubai and Malaysia. The School is recognised as an international leader in education, research and the application of knowledge to benefit society globally. We are striving to establish ourselves as partners of choice for world leading institutions, consistently delivering an environmentally and financially sustainable growth by aligning to the opportunities and requirements of our modern times to address local and global needs.
Heriot Watt holds an Institutional Athena Swan Bronze Award, as does the School of Engineering and Physical Sciences, recognising excellence in championing employment of women in the field of science, technology, engineering, and mathematics. We offer a range of family friendly, inclusive employment policies, flexible working arrangements, staff engagement forums, campus facilities and services to support staff from different backgrounds. 
<div>About our Team
</div>Heriot-Watt University established a campus in Dubai International Academic City (DIAC) in 2005 and moved in 2020 to a state of the art, digitally enabled campus within Dubai Knowledge Park. The Dubai campus now has nearly 4500 students. The School of Engineering and Physical Sciences (EPS) in Heriot-Watt University Dubai offers a range of undergraduate and postgraduate degree programmes in Automotive, Chemical, Mechanical, Energy, Renewable Energy, Electrical and Electronic Engineering, Robotics, Autonomous and Interactive Systems, and Global Sustainability Engineering. 
Project Overview
The AI Pathologist project is an interdisciplinary initiative aimed at developing an advanced AI-driven diagnostic system using 3D medical imaging modalities (CT, MRI, PET) and explainable AI (XAI) techniques to support medical professionals in improving diagnostic accuracy, reducing workload, and enhancing patient outcomes. The Postdoc Researcher will play a key role in implementing system prototypes, managing data pipelines, and supporting the development and validation of AI models in collaboration with clinicians and engineers.
Key Responsibilities
1. AI Model Development &amp; Testing
<ul><li>Assist in developing machine learning and deep learning models for medical imaging analysis.
</li><li>Implement and fine-tune models using PyTorch, TensorFlow, or related frameworks.
</li><li>Run experiments, perform hyperparameter tuning, and maintain organized experiment logs.
</li></ul>2. Medical Imaging Data Management
<ul><li>Support data preprocessing, annotation preparation, and dataset organization.
</li><li>Handle CT, MRI, PET, and histopathology images, ensuring proper anonymization and compliance with ethical guidelines.
</li><li>Collaborate with clinicians to understand imaging structures and diagnostic targets.
</li></ul>3. Explainable AI Implementation
<ul><li>Integrate XAI methods (e.g., Grad-CAM, Guided Backprop, SHAP) into the system.
</li><li>Generate and interpret visual explanations for model outputs.
</li></ul>4. System Prototyping &amp; Software Development
<ul><li>Contribute to the development of the AI Pathologist prototype, including UI/UX, backend integration, and workflow automation.
</li><li>Support deployment of models using Docker, APIs, or cloud environments.
</li></ul>5. Documentation &amp; Reporting
<ul><li>Prepare technical documentation, coding standards, and user guides.
</li><li>Assist in preparing project reports, research papers, and meeting presentations.
</li></ul>6. Collaboration
<ul><li>Work closely with radiologists, pathologists, and clinicians to understand requirements and validate outputs.
</li><li>Attend project meetings and provide weekly progress updates.
</li></ul>Minimum Requirements (Essential)
Education
<ul><li>PhD in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Biomedical Engineering, or a related field.
</li></ul>Technical Skills
<ul><li>Experience with Python and machine learning libraries (PyTorch, TensorFlow, scikit-learn).
</li><li>Understanding of deep learning, CNNs, Capsule Networks, and image processing fundamentals.
</li><li>Basic knowledge of handling medical images (e.g., DICOM).
</li><li>Familiarity with version control (Git/GitHub).
</li></ul>Soft Skills
<ul><li>Strong analytical and problem-solving skills.
</li><li>Good communication and teamwork ability.
</li><li>Ability to document work clearly and follow research procedures.
</li></ul>Preferred Requirements (Highly Desirable)
Technical Skills
<ul><li>Experience with:
<ul><li>3D imaging models (3D CNNs, UNet variants, VNet)
</li><li>Explainable AI tools (Grad-CAM, LIME, SHAP)
</li><li>Medical imaging workflows, PACS systems
</li><li>Docker, APIs, and model deployment
</li><li>Cloud platforms (AWS, Azure, GCP)
</li></ul></li><li>Experience working on healthcare-related AI projects.
</li></ul>Clinical Collaboration
<ul><li>Previous collaboration with hospitals or medical researchers.
</li><li>Understanding of radiology/pathology imaging interpretation.
</li></ul>Other Advantages
<ul><li>Publications or strong project portfolio in computer vision/medical AI.
</li><li>Experience with data annotation tools.
</li>Knowledge of cybersecurity and data governance in healthcare. 
<li>
</li></ul>About the University
With a history dating back to 1821, Heriot-Watt University has established a reputation for world-class teaching and professionally relevant, leading-edge research and enterprise, which has made it one of the top UK universities for business and industry.
We are a vibrant, forward-looking university, well known for the quality of our degrees, with employers actively seeking out our graduates. Heriot-Watt is also Scotland's international university with an unsurpassed international in-country presence. We deliver degree programmes to circa 30,000 students in 143 countries worldwide, have a further overseas campus in Dubai and boast the most significant international student cohort in Scotland.
At Heriot-Watt we've created an environment that nurtures innovation and leadership - where our researchers, teachers, staff and students can realise their potential and develop their ambitions.
We are proud of our collegiate atmosphere and integrated teaching and research approach which has helped to build a community of committed academics and highly motivated students. Our focus on careers delivers results and we've an excellent reputation for graduate employability.
In addition to the Edinburgh campus, we currently have campuses in the Scottish Borders, Orkney, Dubai, and Malaysia. For all our campuses we aim to provide stimulating, supportive environments conducive to effective learning and research, where staff and students can excel. At Heriot-Watt, we have an established set of values that help us to nurture innovation and leadership and show our commitment to continuous improvement and development in all our activities. Our values describe our deeply held beliefs and our community spirit. They characterise not only how we are as a higher education institution but also frame how we want to be.
Our values are:
<ul><li>Belong
</li><li>Collaborate
</li><li>Inspire
</li><li>Celebrate
 </li></ul>As a learning, living, and working institution, we use our values as the building blocks of how we go about doing our work and how we each conduct ourselves as members of Heriot-Watt University. They represent what binds us together as a university community and help us to become the best at what we do. For full details on our university, please view our website https://www.hw.ac.uk/about.htm 
&acirc;&euro;&tilde;How to Apply'
Interested applicants must submit via the Heriot-Watt on-line recruitment system a Cover letter describing their interest and suitability for the post and an updated CV.
At Heriot Watt we are passionate about our values and look to them to connect our people globally and to help us collaborate and celebrate our success through working together. Our research programmes can deliver real world impact which is achieved through the diversity of our international community and the recognition of creative talent that connects our global team.
Our flourishing community will give you the freedom to challenge and to bring your enterprising mind and to help our partners with solutions that can be applied now and in the future. Join us and Heriot Watt will provide you with a platform to thrive and work in a way that also helps you live your life in balance with well-being and inclusiveness at the heart of our global community. 
Heriot-Watt University Dubai is CAA Licensed; therefore, successful candidates will need to provide terminal degrees attested from a UAE institution accredited by CAA. Degrees which are not from a UAE Institution will need to have MoE equivalency. The successful candidate is responsible for getting their degree attestations done.</div>

Postdoctral Researcher (Adjunct Appointment) - Dubai Campus

New York University Abu Dhabi

<div>
 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.
 
 
 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.
 
 
 
 Skills
 
 
 
 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:
 
 
 <ul>
 <li>
 Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems
 </li>
 <li>
 Graph Theory/Network Science
 </li>
 <li>
 Python, and up-to-date machine learning libraries
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Track record of publishing in top tier conferences
 
 
 </li>
 </ul>
 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
 
 
 
 About NYUAD
 
 
 
 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.
 
 
 EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer
 
 
 UAE Nationals are encouraged to apply.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 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.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Associate Research Scientist/ Post-Doctoral Associate in the Division of Science (Computer Science) - Dr. Djellel Difallah

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Associate Research Scientist/ Post-Doctoral Associate in the Division of Science (Computer Science) - Dr. Djellel Difallah

Associate Research Scientist/ Post-Doctoral Associate in the Division of Science (Computer Science) - Dr. Djellel Difallah