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senior scientist

Analog

<div>
 
 Overview
 
 
 
 Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world.
 
 
 
 Role
 
 
 
 The Speech &amp; Language Scientist is a specialized role that focuses on advancing the understanding and application of speech and language technologies. This role bridges research and development, enabling cutting-edge innovations in areas such as automatic speech recognition (ASR), natural language understanding (NLU), speech synthesis (TTS), and conversational AI.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conduct cutting-edge research in speech and audio technologies, including areas such as speech recognition, speech synthesis, audio enhancement, speaker identification, and spatial audio
 </li>
 <li>
 Research, model, design, develop and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision
 </li>
 <li>
 Collaborate with cross-functional teams (e.g., software engineers, product managers, and designers) to implement research into real-world applications.
 </li>
 <li>
 Improve accuracy of models/algorithms to solve problems encountered during the model/algorithm implementation. Coordinate various teams to solve these problems in an efficient, and effective way.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of target clients&rsquo; businesses.
 </li>
 <li>
 Invent, analyze, design, develop and optimize algorithms and models in AUDIO areas such as Speech Recognition, Text to Speech, Speaker Recognition, etc.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on speech and audio processing, or equivalent practical experience.
 </li>
 <li>
 Proven track record of research in speech or audio processing, demonstrated by publications in peer- reviewed journals or conferences.
 </li>
 <li>
 Expertise in machine learning frameworks (e.g., PyTorch, TensorFlow) and proficiency in programming languages like Python, C++, or similar.
 </li>
 <li>
 Strong knowledge of signal processing techniques and deep learning models for speech and audio tasks.
 </li>
 <li>
 Experience working with large-scale datasets and distributed computing systems.
 </li>
 <li>
 Proven track record of research in speech or audio processing, demonstrated by publications in peer- reviewed journals or conferences such as CVPR, ECCV, NIPS, ICASSP, InterSpeech etc
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with real-time audio systems or applications in AR/VR, accessibility, or social interaction platforms.
 </li>
 <li>
 Familiarity with techniques for multilingual or low-resource speech recognition.
 </li>
 <li>
 Background in self-supervised or unsupervised learning for speech/audio representation.
 </li>
 <li>
 Knowledge of privacy-preserving techniques in audio data processing.
 </li>
 <li>
 Experience mentoring junior researchers or managing collaborative projects.
 
 
 </li>
 </ul>
 
 What Working At Analog Offers
 
 
 
 <ul>
 <li>
 Culture: A collaborative, globally minded team building the future of physical intelligence. We value curiosity, courage, and creativity, and we&rsquo;re united by a belief that technology should amplify human potential rather than replace it.
 </li>
 <li>
 Impact: The opportunity to work on projects with national and global significance, from adaptive cities and resilient infrastructure to next generation sports, entertainment, healthcare, and energy. Every product you help build contributes to shaping a safer, smarter, more human centered world.
 </li>
 <li>
 Growth: Outstanding opportunities for learning and career development. You&rsquo;ll collaborate with leaders across AI, robotics, mixed reality, and systems engineering, while working on industry first, frontier scale solutions.
 </li>
 <li>
 Rewards: A competitive compensation package with healthcare, education support, and generous leave benefits, reflecting the high value we place on our people and their families.
 </li>
 </ul>
</div>

Senior Scientist - Speech and Language

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 To qualify, you must have:
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 8 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Hands on expertise designing and implementing GenAI solutions on Azure
 </li>
 <li>
 Knowledge on Agentic AI designs and protocols (MCP, A2A, agentic orchestration)
 </li>
 <li>
 Hands on experience with python for prototyping and implementing GenAI solutions
 </li>
 <li>
 Expertise optimizing advanced RAG architectures and designing information retrieval system
 </li>
 <li>
 Experience integrating Agentic solutions on enterprise data platforms (Fabric, Snowflake, Databricks..)
 </li>
 <li>
 Understanding on the latest Agentic and RAG research and innovation areas
 </li>
 <li>
 Azure Certifications (AI-900, AI-102, DP-100, AZ-305..)
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 A highly curious and inquisitive approach to problem-solving
 
 
 In-depth knowledge of the latest developments in AI and machine learning
 
 
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Senior Applied Scientist

Quantum One

<div>
 
 About Us
 
 
 Quantum One is a leading AI solutions provider in the UAE. Our firm was founded by professionals from McKinsey &amp; Company and BCG. We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across multiple sectors, including energy, utilities, logistics, and industrial enterprises.
 
 
 We are looking for a highly skilled and motivated
 
 Senior Data Scientist (LLM &amp; Agentic Systems)
 
 to join our Abu Dhabi team. This role offers the opportunity to design and deploy production-grade GenAI and agentic systems for mission-critical projects with the UAE&rsquo;s largest organizations. Relocation assistance is available.
 
 
 Our Offer &amp; Your Growth
 
 
 We are committed to investing in our talent. Quantum One provides a competitive compensation package and a clear career progression path with opportunities for rapid advancement into Lead, Principal, or AI Architect roles.
 
 
 You will work on high-impact enterprise AI systems, contribute to reusable internal frameworks, and help shape the next generation of agentic AI capabilities within the organization.
 
 
 Core Responsibilities
 
 
 As a Senior Data Scientist (LLM &amp; Agentic Systems), you will be instrumental in the execution and delivery of advanced AI systems across the following areas:
 
 
 
 Strategic Implementation:
 
 Design and implement Large Language Model&ndash;based solutions that solve complex business and operational challenges for major UAE organizations.
 
 
 
 Agentic System Development:
 
 Architect and build multi-step LLM agents integrating reasoning, planning, memory, and tool usage. Develop Retrieval-Augmented Generation (RAG) pipelines that combine unstructured and structured enterprise data.
 
 
 
 Enterprise Product Development:
 
 Design, develop, and deploy production-grade AI copilots and autonomous agents from concept through to scalable production environments.
 
 
 
 Technical Excellence:
 
 Ensure robustness, scalability, observability, and governance of deployed LLM systems, following enterprise-grade engineering standards.
 
 
 
 Collaboration &amp; Leadership:
 
 Work closely with Data Engineers, DevOps, and client stakeholders. Contribute to architectural decisions and mentor mid-level team members.
 
 
 Required Qualifications
 
 
 We are seeking a candidate who meets the following criteria and is prepared to excel in a high-performance environment.
 
 
 
 Experience:
 
 Minimum 5 years of professional experience in Data Science or Applied Machine Learning, with at least 2 years of hands-on experience building and deploying LLM-based systems.
 
 
 
 Language Proficiency:
 
 Fluent English is mandatory for effective communication with international teams and enterprise clients.
 
 
 
 Technical Foundation:
 
 Demonstrated expertise across the following core stack:
 
 
 
 
 
 Python (advanced level)
 
 
 Git and CI/CD workflows
 
 
 Docker and Kubernetes
 
 
 Postgres or similar RDBMS / NoSQL databases
 
 
 Experience with at least one major Cloud Platform (Azure, AWS, or GCP)
 
 
 Machine Learning &amp; LLM Expertise
 
 
 Co
 
 re Data Science Stack:
 
 
 
 
 
 
 Pandas, NumPy, scikit-learn
 
 
 Experience with gradient boosting frameworks (CatBoost, LightGBM)
 
 
 Model interpretation tools (e.g., SHAP)
 
 
 Data visualization (Matplotlib, Seaborn)
 
 
 
 Large Language Models &amp; Agentic Systems (Mandatory):
 
 
 
 
 
 
 Practical experience with Retrieval-Augmented Generation (RAG)
 
 
 Embedding pipelines and vector databases
 
 
 Agent orchestration frameworks (LangChain, LlamaIndex, or equivalent)
 
 
 Tool/function-calling architectures
 
 
 Structured output handling (JSON schemas, validation layers)
 
 
 Evaluation and monitoring of LLM systems
 
 
 Mod
 
 els &amp; Ecosystems:
 
 
 
 
 
 
 
 O
 
 penAI / Azure OpenAI
 
 
 Hugging Face ecosystem
 
 
 Open-source models such as Llama, Qwen, or Mistral
 
</div>

Senior Data Scientist (LLM)

ADGM

Maseera&rsquo;s AI and Big Data Center of Excellence covers the range of Data and AI skills, from Strategy, Governance, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Maseera&rsquo;s broader Strategy and professional practice, we are bringing together the unique ability to drive end-to-end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.If you&rsquo;re looking for a challenging career while working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be based in Abu Dhabi, and you&rsquo;ll be working with cutting-edge technologies, and you will have the opportunity to develop a wide range of new skills on the job.In our team you will:<ul><li>Be at the forefront of the Fintech industry, and you&rsquo;ll create, own and make it a reality for our subsidiaries looking to better serve their customers.</li><li>Become an integral part of our Data and AI team with the credibility, expertise and dependable insights.</li><li>Develop your skills with our world class training programmes.</li><li>Drive and implement real world solutions into production that drive business value across our company.</li><li>Work alongside global teams to collaborate and deliver the best solutions for our customers.</li><li>Drive your career progression via our structured career development programs.</li></ul>In this role you will:<ul><li>Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics.</li><li>Understand business requirements and support the development of business cases.</li><li>Run discovery analytics to identify new and innovative opportunities.</li><li>Partner with developers and engineers to deploy machine learning algorithms to deliver business value.</li><li>Define approaches to embed and scale machine learning models.</li><li>Build reusable assets and solutions and develop best practices for current and future business problems.</li><li>Communicate and provide guidance to senior leadership and teams.</li><li>Contribute data science expertise to new enterprise activities.</li><li>Shape DS Strategy and the delivery of DS solutions.</li><li>Operate across Headquarter and multiple subsidiaries.</li><li>Develop others by bringing your unique knowledge and skill sets to the wider practice.</li></ul>We are looking for:<ul><li>B.Sc./Master/PhD in computer science, data science, AI or relevant field</li><li>8-10 years of work experience in data science, machine learning, and business analytics</li><li>Practical experience in coding languages e.g. Python, R, Scala, etc.; (Python preferred)</li><li>Proficiency in database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.</li><li>Experienced working with structured and also unstructured data e.g. Text, PDFs, jpgs, call recordings, video, etc.</li><li>Knowledge of machine learning modelling techniques and how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc.</li><li>Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, hugging face, etc.</li><li>Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge.</li><li>Experience of using Cloud technologies e.g. AWS, GCP or Azure.</li><li>Specialised visualisation techniques e.g. D3.js, ggplot etc.</li><li>Strong verbal/written communication &amp; data presentation skills</li><li>Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field</li></ul>Set yourself apart:<ul><li>Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation</li><li>Ability to successfully build relationships with customers and stakeholders</li><li>Mastery of problem solving and solutioning</li><li>Proven history and background in Fintech Industry</li></ul>Job Type: Full-timePay: AED35,000.00 per monthExperience:<ul><li>Financial Institues: 3 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Required)</li></ul>Work Location: In person

Senior Data Scientist

New York University Abu Dhabi

<div>
 The Center for Brain and Health (CBH) at New York University Abu Dhabi (NYUAD) seeks to recruit a Junior Research Scientist to support innovative clinical and translational research on brain health and disease in diverse populations within the UAE and wider MENA region.
 
 
 The successful applicant will play a central role in the day-to-day execution of human-subjects research studies, working within a multidisciplinary team of faculty investigators, research assistants, clinicians, and students. The position involves coordinating clinical and observational research protocols that integrate advanced neuroimaging, neuromonitoring, and behavioural methods, with a strong emphasis on regulatory compliance, participant safety, and high-quality data collection.
 
 
 Key responsibilities include coordinating participant recruitment and workflow (pre-screening, informed consent, scheduling, and follow-up), maintaining regulatory and ethics documentation, liaising with clinical partners and imaging facilities, and overseeing clinical aspects of MRI, EEG, and MEG sessions. The Junior Research Scientist / Clinical Coordinator will also contribute to the development of standard operating procedures, support training of research assistants and students, track study progress and recruitment metrics, and assist with grant applications, ethics submissions, and progress reporting. The role works closely with dedicated neuroimaging and research assistants who focus on technical data acquisition, imaging pipelines, and analysis, while the Clinical Coordinator leads clinical governance and participant-facing workflows.
 
 
 Applicants must hold a Bachelor&rsquo;s degree in psychology, neuroscience, biomedical sciences, nursing, or a related field; a Master&rsquo;s degree or clinical qualification (e.g., nursing, allied health, clinical psychology) is strongly preferred. Candidates should have 2&ndash;3 years of experience coordinating human-subjects research or clinical trials, ideally in neurology, psychiatry, or related areas, and demonstrated familiarity with ethical and regulatory requirements for human research. Experience working with patient populations and/or in neuroimaging or neuromodulation environments (MRI, EEG, MEG, TMS) is highly advantageous. Fluency in English is required; knowledge of Arabic or other languages spoken in the UAE is an asset.
 
 
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript of degree, statement of research interests and three letters of reference, all in PDF format.
 
 
 If you have any questions, please email Dr. Kartik Sreenivasan at kks4@nyu.edu and Dr. Bas Rokers at br87@nyu.edu.
 
 
 The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.
 
 
 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.
 
 
 
 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 Center for Brain and Health (CBH) – Dr. Kartik Sreenivasan and Dr. Bas Rokers

L3Harris

<div>L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers&rsquo; mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.
L3Harris is the Trusted Disruptor in defense tech. With customers&rsquo; mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.
Job Title: Scientist, C4ISR Systems Solutions Architect (Expat)
Job Code: 36894
Location: Abu Dhabi, UAE (Expat Position 3 Years)
Job Description:
L3Harris Communications &amp; Spectrum Dominiance (CSD) is seeking a Scientist, C4ISR Systems Solutions Architect for our Abu Dhabi, UAE location. This is a senior role requiring the overall design of C4ISR systems, including the overall network and associated data links, Battle management System (BMS), and the processing, fusion, and dissemination of data from multiple ISR platforms. A key part of this role focuses on the modernization and development of new C4ISR systems to support joint operations. This includes designing the overall network-centric communications architecture, recommending data models for managing ISR data, the associated standards, the data formats to utilize in these new systems, evaluation of the needed analysis tools, and designing interoperable systems that utilize open standards for data exchange. Close coordination with the end users and other engineering disciplines is required to shape and define the requirements, along with the development of proposals and working with third-party vendors/contractors as needed.
This is an opportunity to take on unique challenges, expand your skills and experience, and contribute to mission-critical systems solutions that help protect the U.S.A. and our allies. You will join a great team of talented professionals who take a collaborative approach and enjoy working together.<div>
Based in Abu Dhabi, UAE and requires business travel across the Middle East &ndash; 50% travel.</div><div> 
</div><div>This role is scoped for 3 years.</div><div> 
</div>Key responsibilities include:<ul><li>
C4ISR Architecture: Develop and design C4ISR architectures that leverage existing customer equipment while integrating cutting-edge technologies to meet specific and evolving customer needs.</li><li>
Emphasis on Utilizing AI: Integrating artificial intelligence within the C4I space to enhance system capabilities and data analysis.</li><li>
Driving Strategy for Customer Adoption: Developing and implementing strategies to drive customer adoption of new and modernized C4ISR systems.</li><li>
Cross-Sector and Cross-Segment Collaboration: Working across various sectors and segments to ensure integrated and cohesive solutions.</li><li>
Adjacent Technologies Knowledge: Possessing knowledge of adjacent technologies like electronic warfare to enhance the overall system effectiveness.</li><li>
Technical Customer Relationship Ownership: Owning and managing the technical relationship with customers to ensure their requirements are met and exceeded.</li></ul>
Qualifications:<ul><li>
Bachelor&rsquo;s degree in Communications Engineering, Electrical Engineering, Systems Engineering or Computer Engineering (or related science discipline). Non-engineering or non-science majors will not be considered for this role</li><li>
12 years of related experience (or 10+ years with a Master&rsquo;s degree)</li><li>
8+ years of experience in C4ISR systems design, including large-scale enterprise integrated battle management systems and tactical radio networks. Please note this role is not for operators of certain tools, radio operators, or ISR analysts. This is a solution architect position and requires the candidate to be able to design complete solutions based on customers&rsquo; needs</li><li>
Must be able to obtain and maintain a US Secret security clearance.</li></ul>
Preferred Additional Skills:<ul><li>
Strong understanding and experience with the L3Harris Falcon Radio product line, including applications for network-centric communications for command and control systems</li><li>
Strong understanding of military vehicle networks, including expertise in integrating various communication protocols (such as CAN, MIL-STD-1553, Ethernet, etc.) and a wide array of sensors (such as RADAR, LIDAR, EO/IR, SIGINT, etc.)</li><li>
Knowledge of the challenges associated with interoperability, data fusion, and real-time processing within dynamic and constrained environments</li><li>
Familiarity with modern network-enabled warfighting concepts, such as JADC2. Candidate must have an extensive working and conceptual knowledge of modern military operations, and capabilities</li><li>
Familiarity with one or more of the following L3Harris pursuits/programs: ELTS, Bahrain C4I, Morocco C4I, KSA C4I</li><li>
Design of scalable C4ISR systems that supports federation, redundancy, and interoperability at all levels</li><li>
Understanding of Joint Operations and the required tools to support the analysis of data and generation of products/reports</li><li>
Design and drive the application of AI and ML techniques to C4ISR systems
</li></ul><ul><li>Understanding of software development methodologies (e.g. Agile methodologies) and the integration/interfacing with legacy systems
</li><li>Familiarity with Enterprise Architecture standards such as TOGAF or DODAF
</li><li>Strong technical presentation and proposal writing skills</li><li>
Ability to drive cross-functional teams to deliver architecture solutions and proposals</li><li>
Develop and execute customer engagement strategies
</li><li>Ability to build trust with external customers, and internal stakeholders</li><li>
Drive ideas for internal R&amp;D projects to support future C4I differentiators</li><li>
Familiarity with L3Harris R&amp;D processes</li></ul>
#LI-RK2</div>

Scientist, Systems Engineer (C4ISR Systems - ACE - Advanced Concept Engineer)

EDGE

<div>
 
 External Job Description
 
 
 
 
 ADVANCED CONCEPTS
 
 is an entity within EDGE dedicated to the design and deployment of advanced, innovative technologies. ADVANCED CONCEPTS is fast-tracking the development of high-technology autonomous systems, including three Medium Endurance, High Altitude, fixed-wing unmanned aerial systems, a family of precision loitering munitions, a cost- effective family of cruise missiles, and a range of guided artillery munitions.
 
 
 
 Core Accountabilities:
 
 
 
 <ul>
 <li>
 Advanced knowledge of composite propellant formulation, focusing on ammonium perchlorate (AP), ammonium nitrate (AN), HTPB binders, and metallic fuels.
 </li>
 <li>
 Expertise in propellant mixing, casting, curing, and associated chemical reactions.
 </li>
 <li>
 Strong understanding of oxidizer-binder-fuel interactions and their effects on combustion characteristics and mechanical properties.
 </li>
 <li>
 In-depth knowledge of rheology and processability of composite propellants, including viscosity control and filler dispersion.
 </li>
 <li>
 Proficiency in characterizing burn rates, pressure indices, and specific impulse performance.
 </li>
 <li>
 Knowledge of curing kinetics, crosslinking reactions in HTPB systems, and plasticizer-binder compatibility.
 </li>
 <li>
 Development of high-energy composite propellant formulations with reduced signature and enhanced safety.
 </li>
 <li>
 Expertise in integrating burn rate modifiers, stabilizers, and additives to optimize performance parameters.
 </li>
 <li>
 Innovation in nano-energetic materials and advanced fillers for higher energy density and stability.
 </li>
 <li>
 Ability to conduct fundamental research into reaction mechanisms and thermal decomposition of composite propellants.
 </li>
 <li>
 Experience in scaling up composite propellant formulations from laboratory prototypes to small-batch production.
 </li>
 <li>
 Understanding of propellant processing techniques, including proper sequencing for mixing, casting, and curing operations.
 </li>
 <li>
 Knowledge of equipment operation and maintenance, particularly for small-batch mixers, vacuum casting setups, and curing chambers.
 </li>
 <li>
 Expertise in conducting mechanical property tests for cured propellant.
 </li>
 <li>
 Proficiency in thermal analysis techniques, such as TGA, DSC, DMA, and thermal conductivity measurements.
 </li>
 <li>
 Capability to perform burn rate testing, strand burning, and ballistic evaluation of composite propellants.
 </li>
 <li>
 Experience with non-destructive testing (NDT) methods, such as X-ray and ultrasonic techniques, to identify defects in propellant grains.
 </li>
 <li>
 Expertise in hazard analysis for handling and processing oxidizers, fuels, and additives.
 
 
 </li>
 </ul>
 
 Qualification / Experience
 
 
 
 <ul>
 <li>
 Minimum 15 years in Propellant Research and Development and 10 years in a Senior role for a large corporate
 </li>
 <li>
 Bachelor&rsquo;s in Chemistry or other related fields,
 </li>
 <li>
 MSc in Chemistry, Chemical Engineering, Materials Science or a specialized area related to Propellant development.
 </li>
 <li>
 Ph.D. in Chemistry, Chemical Engineering, Materials Science , or a specialized area related to Propellant development.
 </li>
 </ul>
</div>

Principal Scientist (EM)

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