research scientist

LN Technologies

Job description:LN Technologies is an Enterprise App Development company that specializes in developing Mobility, Web, BI, and Cloud-based solutions. With over 400 successful projects under our portfolio, we take pride in catering to the needs of all sizes and types of clients, from ambitious startups &amp; small businesses to large multinationals.We are seeking a motivated and detail-oriented Research Scientist to support innovation in the biomedical and biosciences domains. This role involves identifying strategic collaboration opportunities, conducting in-depth market and scientific research, and supporting grant and research paper writing efforts. You will work closely with cross-functional teams and stakeholders to drive innovation aligned with emerging trends and funding landscapes.Key Responsibilities1. Research &amp; Innovation<ul><li>Conduct research in areas including:</li><li>Artificial Intelligence &amp; Machine Learning</li><li>Cloud Computing</li><li>Mobile Technologies</li><li>Data Warehousing &amp; Big Data</li><li>Blockchain &amp; Distributed Systems</li><li>Internet of Things (IoT)</li><li>Cyber Security (network, application, and data security)</li><li>GPS-based and location-aware systems</li><li>Analyze industry trends and emerging technologies</li><li>Propose innovative, secure, and scalable technical solutions</li></ul>2. Solution Design &amp; Development<ul><li>Design and develop end-to-end systems integrating multiple technologies</li><li>Build prototypes and proof-of-concepts (POCs)</li><li>Develop IoT-enabled and GPS-based tracking/monitoring solutions</li><li>Incorporate security best practices into system design</li><li>Translate research into real-world, production-ready applications</li></ul>3. Systems Engineering &amp; Integration<ul><li>Design IoT architectures (device connectivity, data flow, edge computing)</li><li>Develop secure cloud-based infrastructures for scalable applications</li><li>Implement GPS and geolocation systems for tracking and analytics</li><li>Ensure data security, encryption, and system resilience</li><li>Work with data warehousing and big data processing systems</li></ul>4. Cyber Security Implementation<ul><li>Integrate cyber security measures across all systems and applications</li><li>Conduct risk assessments, vulnerability analysis, and threat mitigation</li><li>Ensure compliance with data protection and security standards</li><li>Implement secure authentication, authorization, and data encryption mechanisms</li></ul>5. Cross-Functional Collaboration<ul><li>Collaborate with engineering, product, grant, and business teams</li><li>Support integration of IoT, GPS, mobile, and cloud platforms</li><li>Communicate technical concepts to both technical and non-technical stakeholders</li></ul>6. Research Documentation &amp; Knowledge Sharing<ul><li>Document system designs, research findings, and methodologies</li><li>Prepare technical reports, whitepapers, and presentations</li><li>Share knowledge through internal sessions and training programs</li></ul>7. Technology Integration<ul><li>Integrate AI, IoT, Cyber Security, GPS, Cloud, Blockchain, and Data systems</li><li>Evaluate and select appropriate tools, platforms, and frameworks</li><li>Support deployment, monitoring, and scaling of solutions</li></ul>Required Qualifications<ul><li>Master&rsquo;s or PhD in Computer Science, Information Technology, Cyber Security, Electronics, or related field</li><li>Strong understanding of:</li><li>AI/ML fundamentals</li><li>Cloud platforms (AWS, Azure, GCP)</li><li>IoT systems and communication protocols (MQTT, HTTP, etc.)</li><li>Cyber Security principles (encryption, secure architectures, risk management)</li><li>GPS/geolocation technologies and mapping systems</li><li>Proficiency in Python, Java, C++, or JavaScript Key Performance Indicators (KPIs)</li><li>Development of secure and scalable multi-technology solutions</li><li>Successful implementation of IoT and GPS-based systems</li><li>Integration of cyber security best practices</li><li>Contribution to research, innovation, and business impact</li></ul>Job Type: Full-timePay: Rs130,000.00 - Rs150,000.00 per monthApplication Question(s):<ul><li>Are you comfortable working on the Evening Shift?</li><li>What is your Current Salary?</li><li>What is your expected salary?</li><li>How soon can you join?</li><li>Are you currently enrolled in a PhD program in Biomedical Engineering &amp; Biomedical Technology / Sciences or a related field?</li></ul>Work Location: In person

Research Scientist - Evening Shift

Northeastern University

<div>About the Opportunity
Job Summary:
 
The Kostas Research Institute (KRI) at Northeastern University (NU) &ndash; a rapidly growing institute that conducts cutting-edge applied R&amp;D &ndash; is seeking a highly motivated, experienced and enthusiastic Research &amp; Development (R&amp;D) Engineer with expertise in ML&amp;AI. The R&amp;D Engineer is expected to work as part of a multi-disciplinary team and contribute to the successful execution of R&amp;D projects. 
Responsibilities include providing technical contributions as a software engineer for a wide range of projects involving machine learning (ML) and artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others. The R&amp;D Engineer will work collaboratively with multi-disciplinary teams across the KRI consortium, consisting of academic and industry partners, to create solutions and prototypes for projects in application areas, including autonomous systems, robotics, cognitive and distributed sensing, and machine learning systems, among others. 
Successful candidates will be responsible team players and passionate about machine learning technologies, as well as possess a deep understanding of machine learning technology and experience in turning machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&amp;D Engineers/Scientists for government and industry contracts will be required. 
The Kostas Research Institute was founded with a focus on homeland security research and development. Today, KRI strives to advance resilience in the face of 21st century risks across a wide range of technologies, emphasizing a collaborative approach that leverages our R1 university intellectual capital and technologies to develop application-specific solutions to customer needs. KRI focuses on satisfying customer-driven needs by co-locating a diverse, highly skilled R&amp;D team that can address all aspects of a particular problem across the full range of technology-readiness levels. KRI headquarters, located at the NU Innovation Campus in Burlington, MA (ICBM), is home to one-of-a-kind research and test facilities for conducting activities related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing. 
This position is with KRI at Northeastern University, LLC, a wholly-owned subsidiary of NU. The primary office for this position is located at NU&rsquo;s ICBM. Through NU, KRI offers an impressive benefits package, including multiple retirement plan options with extremely generous matching, as well as tuition waiver for classes and advanced degree programs. A full description of available benefits can be found on the NU website .
 
 
Education &amp; Experience
Required
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or a closely related field.
</li>5+ years of professional experience in software engineering with a strong focus on machine learning and AI systems development (research, applied R&amp;D, or production environments). 
<li>
</li></ul> 
Preferred
<ul><li>Advanced degree (M.S. or Ph.D.) with applied ML/AI, network science, optimization, or data-intensive systems focus.
</li>Experience supporting government, defense, or security-related R&amp;D programs. 
<li>
</li></ul>Skills &amp; Attributes
Required
<ul><li>Strong proficiency in Python and modern ML/AI development workflows.
</li><li>Experience with C++ and/or Java for performance-critical components is a plus.
</li><li>Demonstrated experience designing, implementing, and testing end-to-end ML/AI software systems, from data ingestion to model deployment.
</li><li>Hands-on experience with machine learning frameworks, particularly PyTorch, including model training, fine-tuning, evaluation, and experimentation.
</li><li>Experience working in high-performance computing (HPC), distributed compute, or accelerated environments (GPUs, multi-node systems).
</li><li>Solid background in database systems, including:
</li><li>Relational databases (e.g., PostgreSQL / SQL)
</li><li>Graph databases (e.g., Neo4j, Memgraph, or equivalent)
</li><li>Familiarity with cloud computing environments (e.g., Azure, AWS, or GovCloud equivalents), including containerized or scalable ML workflows.
</li><li>Strong software engineering fundamentals: version control, modular design, testing, documentation, and reproducibility.
</li><li>Proven ability to rapidly prototype novel solutions and transition them toward robust, deployable systems.
</li><li>Self-motivated team member capable of contributing to technical planning, architecture decisions, and problem decomposition.
</li>U.S. Citizenship with the ability to obtain and maintain a security clearance. 
<li>
</li></ul>Desired Skills &amp; Attributes
<ul><li>Experience with Retrieval-Augmented Generation (RAG) architectures, vector databases, embedding pipelines, and LLM-integrated systems.
</li><li>Strong background in network science and graph analytics, including:
<ul><li>Graph modeling and analysis using tools such as NetworkX
</li><li>Graph-based ML or graph neural networks (GNNs) is a plus
</li></ul></li><li>Deep understanding of PostgreSQL/PostGIS, geospatial analytics, and large-scale spatiotemporal datasets.
</li><li>Experience designing and integrating decision-support or analytical pipelines that combine ML, graph analytics, and domain data.
</li><li>Exposure to UI or frontend development for technical applications, dashboards, or analyst-facing tools:
</li><li>Experience with Svelte, React, or similar modern frameworks is a plus.
</li><li>Familiarity with ML model operationalization (MLOps), experiment tracking, and reproducible research pipelines.
</li><li>Experience collaborating with multidisciplinary teams across research, engineering, and operational stakeholders.
</li></ul>Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
<div><div><div><div>Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness &amp; life, retirement- as well as commuting &amp; transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
</div></div></div></div>All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
113S
Expected Hiring Range:
$113,865.00 - $165,105.00
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.</div>

Sr Research Scientist

Durlston Partners

<div></div><div><div><div><div>AI - ML, Systematic Trading &amp; Research
</div><div>Up to $250,000 USD base + Bonus
</div><div>Abu Dhabi, Dubai</div><div> 
</div></div></div><div><div><div>AI Researcher &ndash; Prop Trading &ndash; UAE &ndash; $200,000-$250,000 USD base + Bonus 


There are very few roles in the world where you can state-of-the-art AI research such as LLMs, transformers, deep neural networks to live financial markets, with access to serious compute infrastructure and a team assembled from some of the best minds in both fields. This is one of them.

A globally recognised name, the UAE office is a central part of the research expansion &mdash; small today, growing quickly, and already home to senior researchers, quant leads, and strategy leadership.

The team publishes. Researchers here have been widely cited in top-tier peer-reviewed journals, and the culture is collaborative. AI and trading expertise are shared openly across the team rather than siloed. If you want to do real research that also has commercial impact, this is a rare setup. 


Why you&rsquo;d want this role
<ul>
<li>One of the few environments where foundational model research directly feeds live trading systems</li>
<li>Access to dedicated compute infrastructure</li>
<li>A culture built around publishing &ndash; the firm actively supports and values research contributions to the broader scientific community</li>
<li>Flat structure with direct exposure to leadership from day one</li>
<li>Work alongside researchers and engineers recruited from the very top of the field globally</li></ul> 


Why Abu Dhabi
<ul>
<li>Consistently ranked among the safest and most liveable cities in the world</li>
<li>One of the fastest-growing hubs for buy-side finance and AI in the region</li>
<li>Significant tax advantages over London, New York, or Singapore</li>
<li>The most sought-after neighbourhoods are a 10&ndash;20 minute drive from the office &mdash; no tube strikes, no packed commutes, and a cab is around &pound;8 each way</li>
<li>Year-round sunshine and world-class infrastructure</li></ul> 


What you&rsquo;ll be doing
Researching and developing novel AI-driven quantitative trading strategies,<ul><li>ing the latest advances in LLMs, transformers, and deep neural networks to real market problems</li>
<li>Exploring large volumes of market and alternative data to discover and capitalise on new trading opportunities</li>
Inventing and<li>ing next-generation methods in prompt engineering, signal processing, and time-series analysis</li>
<li>Contributing to a research culture where your findings may be published and recognised beyond the firm</li></ul> 


What you&rsquo;ll bring
<ul>
<li>A Master&rsquo;s or PhD in a quantitative discipline: Computer Science, Applied Mathematics, Statistics, Physics, Quantitative Finance, or similar</li>
<li>Deep, practical knowledge of large language models and deep neural networks, applied to real problems in NLP, vision, signal processing, or related domains</li>
<li>Strong experience analysing large datasets using rigorous ML and statistical methods &ndash; classification, regression, time-series analysis, Bayesian methods, neural networks, and more</li>
<li>Proficiency in Python and relevant ML frameworks such as PyTorch or TensorFlow; C++ experience a plus</li>
<li>A track record of generating impactful research, whether in academia or industry</li>
<li>Curiosity about financial markets &ndash; prior finance experience is not required, just the appetite to learn</li></ul> 


We recognise that great researchers don&rsquo;t always fit neatly into a checklist. If this sounds like the kind of work you want to be doing, reach out directly &mdash; even if you&rsquo;re unsure whether you&rsquo;re the right fit. josh@durlstonpartners.com

If this role isn&rsquo;t right for you but you know someone who&rsquo;d be a great fit, we have a market-leading referral scheme in place to thank anyone who refers a candidate who successfully passes probation.</div></div></div></div>

AI Research Scientist

Raytheon

<div>Date Posted:
2026-04-27
Country:
United States of America
Location:
US-MD-COLUMBIA-720 ~ 9861 Broken Land Pkwy ~ BBN COLUMBIA, Ste 400
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance: TS/SCI
Security Clearance Status:
Active and existing security clearance required after day 1
RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses &ndash; Collins Aerospace Systems, Pratt &amp; Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.
For over 70 years, RTX BBN Technologies (BBN) has solved challenging problems through research, exploration, development, and prototyping. BBN&rsquo;s Network &amp; Cyber Technologies (NCT) team leverages computer science, computer engineering, electrical engineering, math, and physics to tackle customer challenges in electromagnetic warfare (EW), communications, cybersecurity, cyberspace operations, networking, and RF domains for the U.S. Department of Defense (DoD) and Intelligence Community (IC) customers. BBN is looking for an excellent forward-thinking candidate to drive our strategic growth and innovation in these areas specifically at the integration points for EW-enabled cyber and cyber-enabled EW; integrated battlespace applications; resilient cyber-physical systems and software; and the intersection of quantum, cyber, and RF. You are the ideal candidate if you are a recognized researcher with strong skills in these areas for DoD and IC capabilities; you are a strong writer and communicator; you can identify and forge connections between stakeholder opportunities and our technical teams&rsquo; capabilities; you have a strong technical background in these areas; and you desire an opportunity to pursue and execute on external funding from government research agencies (e.g. DARPA, IARPA, DoD Service Labs, IC research and development organizations) to help further U.S. National Security Objectives.
What you will do:<ul><li>
Research, develop and implement innovative techniques for offensive and defensive cyberspace capabilities</li><li>
Conduct rapid prototyping of software solutions</li><li>
Apply software engineering practices to integrate research outputs into operational tools and systems</li><li>
Lead cross-functional teams to solve challenging problems and deliver actionable results</li><li>
Participate in laboratory and field tests to collect and analyze data, test new capabilities, and perform demonstrations</li><li>
Support proposal writing and processes through the shaping of win themes, innovations, operational impact, and focus on customers&rsquo; most pressing uses cases</li><li>
Overnight travel required for certain projects</li></ul>
What you will gain:<ul><li>
A strong leadership team well-versed in government R&amp;D</li><li>
A collaborative and collegial environment to push state-of-the-art research</li><li>
A technically competent pool of research scientists who are willing to mentor, listen, and help you refine our vision and strategy</li><li>
Business development, programmatic, contracting, finance, and HR support</li><li>
Access, through RTX, to opportunities that help transition capabilities and ultimately see it fielded</li></ul>
Qualifications You Must Have:<ul><li>
A Bachelor&rsquo;s degree in a related major and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years&rsquo; experience</li></ul><ul><li>
Experience writing and reviewing classified government research funding proposals in relevant areas</li><li>
Strong verbal and written communication skills in relevant technology topics</li><li>
Strong proficiency in Python and C/C++</li><li>
Demonstrated ability to understand and apply complex technical concepts</li><li>
Capacity to develop novel concepts that address challenging technical problems of concern to RTX BBN Technology&rsquo;s customers</li><li>
Takes proactive action to anticipate, understand, and meet customer needs</li><li>
Ability to obtain a TS//SCI security clearance</li></ul>
Qualifications We Prefer:<ul><li>
Experience synchronizing and coordinating highly technical, R&amp;D teams.</li></ul><ul><li>
Experience with research and development of Cyber/EW capabilities</li><li>
Experience monitoring cross-disciplinary, multi-portfolio projects in relevant technology areas</li><li>
Active TS//SCI security clearance</li></ul>
What We Offer
Whether you&rsquo;re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.<ul><li>Relocation Assistance available</li><li>This position is Onsite at our Cambridge, MA or Columbia, MD or Arlington, VA offices
</li></ul>To help you achieve your goals, BBN will provide:<ul><li>
A strong leadership team well-versed in government R&amp;D.</li><li>
A collaborative and collegial environment to push state-of-the-art research.</li><li>
Technically competent pool of research scientists who are willing to mentor, listen, and help you refine your research vision and goals.</li><li>
Business development, programmatic, contracting, finance, and HR support.</li><li>
Access, through RTX, to opportunities that help transition your research and ultimately see it fielded.</li></ul>
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 118,300 USD - 224,900 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate&rsquo;s work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company&rsquo;s performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans&rsquo; Readjustment Assistance Act.
Privacy Policy and Terms:</div>

Principal Cyber Research Scientist

Incyte Corporation

<div>Overview:
<div>
Incyte is a biopharmaceutical company focused on the discovery development and commercialization of novel medicines to meet serious unmet medical needs in oncology and inflammation and autoimmunity. Incyte is committed to the rigorous pursuit of research and development excellence to improve the lives of patients make a difference in health care and build sustainable value.</div><div></div><div> 
The Company strives to discover and develop first-in-class and best-in-class medicines-advancing a diverse portfolio of large and small molecules.</div><div></div><div> 
Job Summary</div><div>
The clinical scientist will provide scientific clinical and operational input to early and late-stage clinical development programs. This role will work on cross-functional study teams for the design execution and monitoring of clinical trials as well as assist with data interpretation and communication.</div><div> 
</div><div>Key Responsibilities:</div><div><div><ul><li>
Development of protocols for clinical studies.</li><li>
Contribute to the development of program strategy for assigned compounds/programs including participation in the preparation of clinical development plans</li><li>
Drafting and review of clinical scientific documents such as IND amendments Investigator Brochures Annual Reports and other Health Authority submissions.
</li><li>Monitor review and summarize safety and efficacy data in ongoing studies.</li><li>
Represent clinical development on project teams.
</li><li>Develop relationships with appropriate consultants and external experts and utilize these relationships to obtain feedback on protocol design.
</li><li>Clinical lead for study abstracts posters oral presentations and manuscripts for assigned studies.</li><li>
Serve as liaison to project teams, CROs, Clinical sub-teams and others.</li><li>
Maintain updated knowledge of competitive landscape in regard to assets with similar MOA and/or evolving standards of care for indications of interest.</li></ul><div></div><div> 
Qualifications:</div><div><div><ul><li>
Degree in scientific/life-sciences. Pharm.D. or Ph.D. preferred.</li><li>
Minimum of 5 years of drug development experience are required. Alternative drug development experience will be considered.</li><li>
Prior Dermatology or immunology experience is preferred.</li><li>
Ability to work independently multi-task and work in a fast-paced environment.</li><li>
Excellent written and oral communication skills.</li><li>
Strong Analytical ability.</li><li>
Ability to accommodate up to 20% travel or as business dictates</li></ul> 
Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.
Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer. 
We Respect Your Privacy
Learn more at: http://www.incyte.com/privacy-policy
The Incyte hiring organization processes your personal data to manage your job application in order to enter into an employment relationship with you if you are the successful candidate.
During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job. You can learn more about this process here. 
You may have the right to access, delete, restrict, edit, move, or object to the use of your personal data. You may also have a right to report concerns to the authority responsible for data privacy in the country where the position is based or where you live or work. 
You can learn more about Incyte&rsquo;s data protection practices here. By accessing this link you can learn about the types of personal data we collect, how we use it, whether collection and processing is optional, sources of the personal data we process, how it is shared, where it is stored or transferred to, how long we keep it, and contact information for Incyte, Incyte&rsquo;s data protection officer, and your supervisory authority (if applicable). 
Please contact privacy@incyte.com if you have any questions or concerns or would like to exercise your rights.
#LI-MB1</div></div></div></div></div><div></div>

Director, Clinical Research Scientist IAI

New York University Abu Dhabi

<div>
 The Center for Technology, Economics, and Development (CTED) at New York University Abu Dhabi (NYUAD) invites applications from individuals to be appointed as a Junior Research Scientist (AI-Blockchain Project) for a one-year period, with the possibility of renewal conditional on excellent performance.
 
 
 The Junior Research Scientist (AI-Blockchain Research) will support advanced, quantitatively intensive research at CTED with a primary focus on artificial intelligence, machine learning, mathematical modeling, and computational analysis. The Junior Research Scientist will play a central role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED&rsquo;s interdisciplinary projects. Working under the direction of the Principal Investigator (PI), Dr. Yaw Nyarko, and Co-Principal Investigator (Co-PI), Dr. Ra&scaron;a Karapand&zcaron;a, the Junior Research Scientist will contribute to AI-driven and blockchain-enabled research related to commodities markets and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical proofs; implement optimization and simulation-based methods; and analyze large and complex datasets. Responsibilities include supporting experimental and field-based research, preparing literature reviews, translating complex AI and mathematical findings into clear written outputs, and contributing to research reports, concept notes, and academic publications.
 
 
 Candidates must hold a Master&rsquo;s degree in Computer Science, Data Science, Mathematics or a related field (e.g., Economics with a strong mathematics background). and have less than five years of relevant research experience; or hold a Bachelor&rsquo;s degree in a relevant field with any level of research experience. Applicants must have extensive coding experience, and preferably, applicants will have experience conducting field research in emerging countries and working on randomized controlled trials (RCTs). Applicants with experience working in programming languages such as Python, JavaScript, and/or MATLAB, a strong interest in economic and quantitative research and the willingness to learn about the blockchain, are encouraged to apply. Experience in web development, blockchain, commodities markets, and technology and economic development will be considered a plus. The successful candidate will work in a multidisciplinary environment, working autonomously, but as a team member under the direction of the Principal Investigator.
 
 
 The terms of employment are very competitive. Applications will be accepted immediately, and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae/resume, transcript of degree, and one academic writing sample, and 2 contact references, all in PDF format. If you have any questions, please email amp330@nyu.edu.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 
 
 Working for NYUAD
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 
 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.
 
 
 
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Junior Research Scientist in the Division of Social Science (CTED) - Dr. Yaw Nyarko

New York University

<div>The Center for Interacting Urban Networks, New York University Abu Dhabi, seeks to recruit a Junior Research Scientist to support the project LANDMark on research on land economics, in any of the following areas:
<ul><li>Measurement of land prices, with a focus on imputation techniques
</li><li>Land value determinants: public infrastructures (transport, health, and education services)
</li><li>Macroeconomic stability and instability in the presence of land as a fixed, non-produced asset
</li><li>Taxation of land wealth as an alternative to the consumption tax and the capital tax
</li><li>The political economy of land and its taxation
</li><li>Land, fixed resources, and political conflict
</li></ul>The successful applicant will contribute to the research centered on any of these themes.
The qualified candidate will have an MSc or an MA in economics or another quantitative field with no more than five years from receipt of the degree, and an appetite for working on interdisciplinary teams.
This position requires:
<div><ul><li>Research experience in the mentioned areas of land (in a broad sense, including housing, macroeconomics, labor, urban, spatial economics, political economy, and conflict).
</li></ul><ul><li>Excellent communication skills in English.
</li></ul><ul><li>Ability to work in teams
</li></ul></div>Applicants must submit a cover letter, curriculum vitae, a statement of research interests, a transcript or degree, and the contact information for 2-3 referees, who may be contacted during the selection process. The research statement should outline specific projects that the candidate would like to lead within CITIES, along with potential collaborators within the Center. If you have any questions, please email us at nyuad.cities@nyu.edu.
Evaluations will begin immediately and continue until the role is filled. The earliest start date for this position is January 1st, 2027.
About LANDMark (Land Assets, National Development and Markets):
This project, developed by Etienne Wasmer, professor of Economics and program head in Economics at NYUAD, and funded for the next 6 years (2027-2032), brings together a group of researchers working on land all over the world. A team of 4 postdocs will constitute the project's core. Associations and collaborative research funding projects with researchers in Economics, Engineering, Computer Science, and Political Science are encouraged. The post-doctoral associate will be hosted in the Social Science Division, near the economics faculty, and can be affiliated with CITIES (infra).
About The Center for Interacting Urban Networks (CITIES):
The NYUAD&rsquo;s Center for InTeractIng urban nEtworkS (CITIES &ndash; مدن) is an interdisciplinary research center dedicated to advancing urban science and promoting cutting-edge research that is translated into practical, real-world solutions for the benefit of society. Our mission is to establish a vibrant and globally recognized knowledge hub for urban networks, bridge the gap between scientific significance and practical value, and further develop the human capital to propel the city of Abu Dhabi and the UAE into a more prosperous and sustainable future. CITIES leverages the expertise of faculty members from the four Divisions of NYUAD and world-renowned scientific collaborators from multiple institutions within and beyond the NYU Global Network, as well as local stakeholders and private companies across the UAE and abroad.
About NYU Abu Dhabi
https://nyuad.nyu.edu/en/
 
NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
Working for NYUAD
At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
Join NYU Abu Dhabi, an exceptional place for exceptional people.
NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
@WorkAtNYUAD</div>
 <div>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>

Junior Research Scientist in the Division of Social Science (CITIES) - Dr. Etienne Wasmer

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