research engineer

Alfaisal University

<div></div><div><div><h5 class="jobSectionHeader"><b>Overview</b></h5>
<div></div><div><div><div>Department<b> College of Engineering</b></div>
</div><div></div><div><div>Division<b>COE&amp;AC</b></div>
</div></div><div></div><div><div><div>Job Family<b>Faculty-Academic</b></div>
</div><div></div><div><div>Reports to<b>Vice Dean for Research and Graduate Studies</b></div>
</div></div><div></div><div><div><div>Location<b>Alfaisal University - Riyadh
</b></div></div></div></div><div><p>The Research Engineer supports research, development, and technical implementation activities in robotics, drones, and autonomous systems. The role involves contributing to system integration, prototype development, testing, and deployment of engineering solutions within research projects and academic programs. The Research Engineer provides technical and operational support for laboratories, research initiatives, and student projects, while collaborating with faculty, researchers, and industry partners to deliver funded projects and departmental objectives. The position also contributes to laboratory operations, student mentoring, and the advancement of applied research and innovation activities in relevant engineering fields.</p>
<h4 class="jobSectionHeader"><b>Primary Duties &amp; Responsibilities</b></h4>
<ul><li>Provides laboratory management and technical support by maintaining engineering laboratories, equipment, software, and technical resources to ensure their effective operation and availability for academic and research activities.</li>
<li>Supports academic programs by assisting faculty members with laboratory-based courses, practical exercises, demonstrations, and curriculum activities in robotics, drones, autonomous systems, and related engineering fields.</li>
<li>Participates in project implementation and system integration by assembling, configuring, testing, validating, and deploying hardware and software solutions in accordance with project requirements and technical specifications.</li>
<li>Conducts research and development activities by contributing to prototype design, experimentation, data collection, performance evaluation, and technical documentation for funded and departmental research projects.</li>
<li>Guides and mentors students in the development of capstone, competition, and research projects by providing technical expertise and supporting project planning, execution, and validation activities.</li>
<li>Maintains laboratory equipment and technical assets by performing routine inspections, troubleshooting issues, coordinating repairs, and ensuring operational readiness of facilities and resources.</li>
<li>Prepares and maintains technical documentation, project records, laboratory inventories, and operational reports to support research activities, project tracking, and compliance requirements.</li>
<li>Ensures compliance with laboratory safety procedures and operational standards by monitoring practices, conducting inspections, and promoting a safe working environment in engineering laboratories and the Automotive Center.</li>
<li>Collaborates with faculty, researchers, and external partners to support the planning, execution, and coordination of funded research projects and engineering initiatives.
</li><li>Supports procurement and resource planning by identifying laboratory and project requirements, preparing technical specifications, and coordinating the acquisition of equipment, materials, and software tools.</li>
<li>Contributes to continuous improvement of laboratory and research activities by evaluating processes, identifying gaps, and recommending improvements to tools and workflows.</li>
<li>Performs all duties in a professional, effective, and confidential manner.</li>
<li>Performs all other related duties as required or assigned by the manager.</li>
</ul><div></div><h4 class="jobSectionHeader"><b>Education &amp; Experience</b></h4>
<ul><li>Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Software Engineering or equivalent from an accredited institute. Master degree is preferable.
</li><li>Certification as Project Management Professional (PMP) by Project Management Institute (Desirable).</li>
<li>Minimum of four (04) years of experience in Electromechanical projects or related fields. For Master degree two years of experience.</li>
</ul><div></div><h4 class="jobSectionHeader"><b>Note</b></h4>
<ul><li>Working hours: Eight hours per day, five days a week</li>
<li>Benefits: MBA as per AU policy &ndash; Family insurance</li></ul></div></div><p></p>

Research Engineer - #160626

Resolution

<div><h1 class="jobSectionHeader"><b>About Resolution</b></h1><p>
Resolution does research on how to align artificial superintelligence (ASI). ASI may be developed in the next few years, but it is unclear whether alignment is on track to be ready in the same timeframe. We aim at higher <i>a priori</i> confidence in aligned outcomes by pursuing a portfolio of theory and empirics bets, any one of which &mdash; if it succeeds &mdash; would meaningfully advance the field. We invest heavily in research automation to accelerate progress, and we believe that stronger alignment theory unlocks higher automation: more principled approaches give us better filters for which directions of automated research are promising.</p><p>
Resolution was founded in 2026 by researchers from UK AISI's Alignment Team, who ran the &pound;30m Alignment Project, and Timaeus, who pioneered applying singular learning theory to alignment.</p><p>
For more information, see our announcement.</p><h1 class="jobSectionHeader"><b>
About the Team</b></h1><p>
We are hiring Research Engineers across several main focus areas. We expect the boundaries between these areas to be flexible, but please indicate which mode you're more interested in (or &quot;either&quot;) in your application.</p><p><b>
Research Automation (primary focus).</b> A cross-cutting function that builds the infrastructure and tooling our researchers use to scale their work, increasingly leveraging fleets of AI research assistants alongside small teams of humans.</p><p><b>
Program-embedded Research Engineering (also hiring).</b> Research engineers embedded within one of our research programs (scalable oversight, complexity theory, learning theory, personas, and possible future programs like heuristic arguments or game theory), partnering with researchers on scaling experiments, building program-specific infrastructure, and translating theoretical insights into empirical tools.</p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
Research Engineers at Resolution are core members of our research teams, directly driving both research and the core infrastructure behind it. We believe clean engineering on automation, experimentation, and infra is essential to ambitious research, and that excellence on this front requires active research participation.</p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li><p><i>
(Research automation track)</i> Build agentic research infrastructure: experiment orchestration, hypothesis generation, automated analysis pipelines; autoformalization tooling for the theory side; internal AI-powered tools for researchers</p></li><li><p><i>
(Program-embedded track)</i> Scale program experiments to frontier-tier models; build program-specific infrastructure; partner with researchers on engineering and implementation.</p></li><li><p><i>
(Both)</i> Maintain and extend distributed training, experiment, and evaluation infrastructure</p></li><li><p><i>
(Both)</i> Contribute to and maintain shared codebases across the org</p></li><li><p><i>
(Both)</i> Communication of engineering &amp; automation progress, obstacles &amp; learnings to your team and the wider org via Slack and in weekly meetings.</p></li></ul><p>
We're on the lookout for excellence, so if you're a cracked engineer who doesn't precisely fit these descriptions, please still apply!</p><h2 class="jobSectionHeader"><b>
You May Be a Good Fit If You</b></h2><ul><li><p>
Have a strong software engineering background, including production-quality Python</p></li><li><p>
Have deep experience with ML frameworks (PyTorch or Jax) and distributed-training stacks</p></li><li><p>
Have a demonstrated ability to ship complex systems end-to-end</p></li><li><p>
Have a Bachelor's degree or equivalent in CS, physics, math, ML, or related</p></li><li><p>
Are willing to use AI tools aggressively in your own workflow, with appropriate care to not get fooled!</p></li><li><p>
Are motivated by alignment of artificial superintelligence (ASI) and want to contribute to it full-time.</p></li></ul><h2 class="jobSectionHeader"><b>
Strong Candidates May Also Have</b></h2><ul><li><p>
Experience with autoformalization, Lean, or other proof-assistant tooling</p></li><li><p>
Background in research infrastructure or ML platform engineering at frontier labs</p></li><li><p>
Experience scaling ML systems to 100B+ parameter scale</p></li><li><p>
Experience with CUDA kernel development or GPU optimization</p></li><li><p>
Familiarity with alignment research</p></li></ul><h1 class="jobSectionHeader"><b>
Application Process</b></h1><p><b>
Initial screener.</b> A 20-minute conversation with a senior researcher to discuss your research background, motivations, and interests.</p><p><b>
Work trial.</b> A 4-hour take-home assignment. We'll collect references in parallel. We'll compensate you for your time, subject to right-to-work constraints.</p><p><b>
Work trial review.</b> A 45-minute discussion of your work trial.</p><p><b>
Research talk.</b> A 30&ndash;40 minute interactive conversation about your previous research.</p><p><b>
Senior 1:1.</b> A 30-minute conversation with a member of our research leadership.</p><h1 class="jobSectionHeader"><b>
Logistics</b></h1><p><b>
Salary:</b> Your salary depends on the scope, autonomy, and impact we expect you to have while working at Resolution. The expected range of salaries for this role is:</p><ul><li><p>
L3 (SWE I): $141,000 remote; $236,000 in-person</p></li><li><p>
L4 (SWE II): $208,000 remote; $346,000 in-person</p></li><li><p>
L5 (Senior SWE): $270,000 remote; $451,000 in-person</p></li><li><p>
L6 (Staff SWE): $402,000 remote; $670,000 in-person</p></li><li><p>
L7 (Senior Staff SWE): $738,000 remote; $930,000 in-person</p></li></ul><p>
Strong early-career engineers will typically come in at L3. Someone with significant independent research engineering experience would likely start at L4 or L5.</p><p><b>
Location:</b> Berkeley, California. Remote may be considered in exceptional cases.</p><p><b>
Benefits:</b></p><ul><li><p>
5 weeks of paid vacation per year, in addition to public holidays.</p></li><li><p>
Comprehensive healthcare insurance (medical, dental, vision).</p></li><li><p>
Unlimited sick leave to prioritize your well-being.</p></li><li><p>
An unconditional 401(k) contribution equal to 4% of your salary.</p></li></ul><p><b>
Visa sponsorship:</b> We can sponsor visas for relocation to Berkeley.</p><p><b>
Minimum education:</b> A bachelor's degree in a field relevant to the role, or an equivalent combination of education, training, and/or professional experience that demonstrates comparable knowledge.</p><p><b>
Deadline:</b> Applications are rolling &mdash; please apply ASAP. We'll respond to applications within one week of receipt.</p><p><b>
Start date:</b> ASAP.</p><p>
Compensation Range: $141K - $930K</p></div>

Research Engineer

Manufacturing Technology Centre

<div><p>We are looking for a highly skilled <b>Advanced Research Engineer</b> to design, develop, and deliver advanced <b>AI and machine learning</b> solutions for real-world industrial challenges. You&rsquo;ll work at the forefront of <b>generative AI</b>, <b>RAG systems</b>, <b>agentic models</b>, and <b>AI assurance</b>, taking ownership of complex technical projects from concept through to deployment.</p><p>
As an ARE you will work with multi-disciplinary teams using their domain knowledge to deliver innovative solutions aligned with the MTC members and customers challenges and help drive the research and innovation roadmap to support UK Industry.</p><p>
This role is ideal for someone who wants to stay deeply hands-on, lead technically, and contribute to the organisation&rsquo;s research direction.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Lead the technical delivery of advanced <b>ML and AI projects</b> including regression, classification, segmentation, genAI, RAG, and agentic workflows.</li><li>
Design system architectures, research plans, and experimental methodologies for high impact projects.</li><li>
Translate research outputs into modular, reusable components and demonstrators.</li><li>
Contribute to the organisation&rsquo;s <b>trustworthy AI</b> and <b>AI assurance</b> research, developing methods, tools, and best practice guidance.</li><li>
Maintain and enhance key AI demonstrators, ensuring reliability and continuous improvement.</li><li>
Provide technical leadership within multidisciplinary project teams, guiding engineers and contributing to project planning.</li><li>
Support business development by contributing technical insight to customer discussions, proposals, and collaborative R&amp;D bids.</li><li>
Influence the organisation&rsquo;s AI capability roadmap through research insights and technology scouting.</li><li>
Engage with internal and external stakeholders to share findings, present research, and support decision making.</li><li>
Participate in cross organisation initiatives such as the <b>AI Validation Network</b>, contributing technical expertise to advance UK AI assurance practice.</li><li>
Maintain relevance and stay up to date with emerging research, tools, and technologies &mdash; and bring them into active project work.</li></ul><p></p><p><b><br>
Required Skills:</b></p><ul><li>
Strong Python expertise (numpy, pandas, TensorFlow/PyTorch/Keras, LangChain/LangGraph).</li><li>
Deep understanding of <b>ML/AI methodologies</b>, model development, and evaluation.</li><li>
Experience with Linux, Docker, Docker-Compose, and Kubernetes.</li><li>
Ability to design and deploy REST APIs using Flask or FastAPI.</li><li>
Strong ability to interpret technical requirements and translate them into actionable research and engineering tasks.</li><li>
Excellent communication skills for explaining complex concepts to technical and non-technical audiences.</li><li>
Knowledge of <b>trustworthy AI frameworks</b>, AI assurance principles, and testing methodologies beyond performance metrics.</li></ul><p><b>
Nice to Have</b></p><ul><li>
Experience with AI monitoring and observability tools (Arize Phoenix, Langfuse, RAGAS, TruLens).</li><li>
Cloud experience (Azure, AWS).</li><li>
Data visualisation and dashboarding tools.</li><li>
Experience producing system diagrams and interface documentation.</li><li>
Exposure to MLOps, CI/CD, or model deployment pipelines.</li><li>
Lightweight UI development (Streamlit, Gradio).</li><li>
Customer facing or business development experience.</li><li>
Experience of technically leading projects.</li></ul><p>
The Manufacturing Technology Centre (MTC) was established in 2010 as an independent Research &amp; Technology Organisation (RTO) with the objective of bridging the gap between academia and industry &ndash; often referred to as &lsquo;the valley of death&rsquo;.</p><p>
It represents one of the largest public sector investments in UK manufacturing and, after four years of planning and a 16 month build, the facility opened at Ansty Park in Coventry at the end of 2011.</p><p>
In December 2011, there were 16 industrial members, 44 staff and just a few key pieces of equipment in the &lsquo;workshop&rsquo;.</p><p>
Over the following seven years the MTC&rsquo;s rapid growth has seen the expansion of our campus with the construction of three more facilities, including the opening of the Advanced Manufacturing Training Centre and the National Centre for Additive Manufacturing.</p><p>
Our role has also increased to cover not only R&amp;D but also Training, Advanced Manufacturing Management and Factory Design.</p><p>
We now have over 700 talented employees working with us.</p><p>
During this time we have helped hundreds of companies across a range of industries and over 100 of them have become members of the MTC.</p></div>

Advanced Research Engineer

University of Maine

<div><p>The purpose of this position is to execute engineering research and development project assignments that support the Advanced Structures and Composites Center&rsquo;s (ASCC) mission of advancing material science, advanced manufacturing, and engineering of composites and structures. This role involves designing and conducting experimental test campaigns, analyzing data, and developing innovative solutions for real-world engineering challenges. The position requires proficiency in numerical modeling, CAD/CAE development, and programming to enhance research capabilities in large-scale additive manufacturing, transportation infrastructure, and advanced materials. Additionally, the role contributes to the preparation of technical reports, research proposals, and presentations while fostering collaboration with research staff and mentoring undergraduate researchers. By staying current with emerging technologies and industry advancements, this position plays a critical role in driving innovation and maintaining ASCC&rsquo;s leadership in interdisciplinary research. <b>Typical hiring salary for this soft-money funded position is up to $85,000.
</b></p><p><b>Please review the </b><b>Research Engineer II </b><b>job description for more information.
</b><br>
<br>
<b>About the University:
</b><br>
The University of Maine is a community of more than 11,900 undergraduate and graduate students, and 2,500 employees located on the Orono campus, the regional campus in Machias, and throughout the state. UMaine is a land, sea and space grant university, and maintains a leadership role as the University of Maine System's flagship institution. UMaine is the state's public research university and a Carnegie R1 top-tier research institution, dedicated to providing excellent teaching, research and service for Maine, the nation and the world. More information about UMaine is at umaine.edu .
<br>
<br>
The University of Maine offers a wide range of benefits for employees including, but not limited to, tuition benefits (employee and dependent), comprehensive insurance coverage including medical, dental, vision, life insurance, and short and long term disability as well as retirement plan options.
<br>
<br>
UMaine is located in beautiful Central Maine. Many employees report that a primary reason for choosing to come to UMaine is quality of life. Numerous cultural activities, excellent public schools, safe neighborhoods, high quality medical care, little traffic, and a reasonable cost of living make the greater Bangor area a wonderful place to live. Visit the Maine Office of Tourism to learn more about what the Bangor region has to offer.
<br>
<br>
<b>Qualifications:
</b><br>
Required:
</p><ul><li>BS in Mechanical, MET, or Structural Engineering or related field or equivalent combination of education and experience.
</li><li>Three to five years of professional experience.
</li><li>Advanced coursework or equivalent experience in some of the following areas: advanced composites, finite element modeling, engineering design, advanced mechanics of materials.
</li><li>Excellent oral and written communications skills.
</li><li>Proven ability to handle multiple projects and constant deadlines in a fast-paced environment.
</li></ul><p>Preferred:
</p><ul><li>MS in Mechanical or Structural Engineering.
</li><li>Experience in conducting static and dynamic laboratory load tests of composites.
</li><li>Experience in student research
</li><li>Prior experience working in a laboratory or shop environment.
</li></ul><p><b><i>This position requires access to information regulated under U.S. Export Control regulations and therefore individuals must qualify as a U.S. Person under U.S. Export Control Regulations
</i></b></p><p><b>Other Information:
</b></p><p>To be considered for this position you will need to &ldquo;Apply&rdquo; and upload the documentation listed below:
</p><p>1.) a cover letter which describes your experience, interests, and suitability for the position
<br>
2.) a resume/curriculum vitae
</p><p>Candidates selected to proceed to the final stages of the search process will be requested to provide a list of names and contact information for references.
</p><p>Incomplete application materials cannot be considered. Materials received after the initial review date will be reviewed at the discretion of the University.
<br>
<br>
For full consideration, materials must be submitted by 4:30 p.m. EST on July 10, 2026.
</p><p>For questions about the search, please contact ASCC Talent Engagement Manager Kimberly Scribner &ndash; Kimberly.scribner@maine.edu .
<br>
<br>
The successful applicant is subject to appropriate background screening and post offer physical.<br>
</p><p></p><br>
<div>The University of Maine System (the System) is an equal opportunity institution committed to fostering a nondiscriminatory environment and complying with all applicable nondiscrimination laws. Consistent with State and Federal law, the System does not discriminate on the basis of race, color, religion, sex, sexual orientation, transgender status, gender, gender identity or expression, ethnicity, national origin, citizenship status, familial status, ancestry, age, disability (physical or mental), genetic information, pregnancy, or veteran or military status in any aspect of its education, programs and activities, and employment. The System provides reasonable accommodations to qualified individuals with disabilities upon request. If you believe you have experienced discrimination or harassment, you are encouraged to contact the System Office of Equal Opportunity and Title IX Services at 5713 Chadbourne Hall, Room 412, Orono, ME 04469-5713, by calling 207.581.1226, or via TTY at 711 (Maine Relay System). For more information about Title IX or to file a complaint, please contact the UMS Title IX Coordinator at www.maine.edu/title-ix/ .<br>
</div><div></div><br>
<div><b>Clery Act
</b></div><div>The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, such as the University, prepare, publish and distribute an Annual Security Report, (ASR) and provide notice of the availability of the ASR to all prospective employees. This report consists of two basic parts: disclosure of the University&rsquo;s crime statistics for the past three calendar years; and disclosures regarding the University&rsquo;s current campus security policies. You may view the University&rsquo;s Annual Security Report . If you wish to have a paper copy of the ASR or you need to have a copy of the ASR in an accessible format, the University will provide such a copy upon request. Please contact: UMaine Police Department, 81 Rangeley Rd., The University of Maine, Orono, ME 04469-5794, or call 207.581.4053.</div></div>

Research Engineer II

Ixico

<div><div><div><div><div>IXICO plc (AIM: IXI), is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI-driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community, the Company has built a global reputation and 20-year track record as an end-to-end Imaging Contract Research Organisation (iCRO) working with leading pharma companies, innovative biotech's, disease consortia and non-profit organisations. IXICO has supported hundreds of neurological clinical trials, analysed hundreds of thousands scans and built an expansive network of expert imaging centres around the world.</div>
<div><br>
The IXICO Platform is tailor-made for neurological disease, reliably processing data from global trials, precisely measuring key imaging biomarkers associated with the identification, progression and treatment of diseases such as Alzheimer's, Huntington's and Parkinson's. Image data is interrogated by the Platform and IXICO's expert scientists translating complex data into clinically meaningful while minimizing data variability and increasing reproducibility.</div>
<div><br>
Our people are empowered to enable us to achieve our company goals and their own personal development through the &ldquo;4A&rdquo; values at the heart of our culture: Aspiration, Ability, Agility and Accountability.</div>
<div>To help us deliver our medical image analysis solutions to large clinical trials we are hiring a <b>Senior Research Engineer</b><b> </b>on a permanent full-time capacity.</div>
<p><b>
Purpose of the Role:</b></p>
<p>
This role is focused onleading innovation within assigned workstreams across IXICO's analytics portfolio, advancing the company's Integrate, Automate, Standardise strategy. The role holder is responsible for innovative development and the definition of analytical validation strategy across MRI, PET and adjacent CNS biomarkers taking assigned workstreams from concept up to transition to cross functional teams for productisation. The role holder contributes to the wider R&amp;D roadmap, including build-vs-buy assessment of third-party technologies, and represents IXICO's scientific work externally.</p>
<p>
Single-point accountability is expected; the role holder acts as technical lead for their assigned workstreams. While the role carries no line-management responsibility, the role holder holds authority over scope definition, methodology, experimental design, validation gating and continue/pivot/stop recommendations within assigned workstreams.
</p><p>The role sits within R&amp;D with day-to-day operational and line management from the Director, R&amp;D. Strategic direction is set by the CSO/CMO, to whom the role holder reports regularly on innovation progress and trajectory to ensure alignment with company-level scientific and product strategy.</p>
<p><b>
Essential Duties and Responsibilities:</b></p>
<p><b>
Research, development and analytical validation</b></p>
<ul>
<li>Lead the design, development and assessment of innovative analytics approaches across MRI and PET imaging as well as adjacent CNS biomarkers from hypothesis through proof-of-concept and analytical benchmarking.</li>
<li>Define requirements, validation strategies and intended-use-aligned performance specifications for each workstream, providing input to Regulatory Affairs and Medical Affairs on validation design.</li>
<li>Iteratively optimise prototype analysis algorithms, data models and pre-processing pipelines, to research-grade reproducibility standards, and partner with the Analysis Products team on transition of mature methods into the productisation track.</li>
</ul>
<p><b>Roadmap, prioritisation and accountability</b></p>
<ul>
<li>Act as technical lead for named workstreams: define validation gates, set pre-agreed continue / pivot / stop criteria and learning milestones, and, where applicable, provide oversight for the work of contributing scientists and engineers assigned to those workstreams.
</li><li>Own the innovation roadmap for assigned workstreams in line with IXICO&rsquo;S commercially led R&amp;D prioritisation process.
</li><li>Contribute to the wider R&amp;D Roadmap, providing input on dependencies, synergies and sequencing trade-offs between assigned workstreams and IXICO's other product streams.</li>
<li>Critically assess third-party analysis products for potential in-licensing where buy is preferable to build, feeding build-vs-buy recommendations into the R&amp;D/product roadmap.</li>
</ul>
<p><b>Cross-functional collaboration</b></p>
<ul>
<li>Work closely with the wider Science and Product teams to ensure seamless deployment of novel analysis tools.</li>
<li>Provide scientific and technical input to Business Development and Medical Affairs for partner discussions, bid defenses and co-development scoping.</li>
</ul>
<p><b>Dissemination and external visibility</b></p>
<ul>
<li>Represent IXICO's scientific work at conferences, through peer-reviewed publication, and via marketing material aligned with the company narrative.</li>
<li>Build relationships with academic and industry collaborators that support data access, validation and credibility.</li>
</ul>
<p><b>Qualifications and skills required for the role:</b></p>
<p><b>
Essential</b></p>
<ul>
<li>Doctorate in a relevant quantitative discipline (medical image analysis, machine learning, computer science, biomedical engineering, computational neuroscience) or equivalent industry research experience.</li>
<li>Substantial post-doctoral or equivalent industry experience (typically 5+ years) in developing and validating machine-learning or AI-based medical image analysis solutions, including in MRI and / or PET.</li>
<li>Demonstrable track record of taking analytical innovation from concept through proof-of-concept and analytical validation, with awareness of how validated methods transition into regulated product development.</li>
<li>Strong programming skills in Python and Linux environments; familiarity with modern deep-learning frameworks (PyTorch, TensorFlow); proficient with version control, containerisation and reproducible-research practices.</li>
<li>Strong applied knowledge of statistics, validation methodology (analytical, clinical, technical), and study design.</li>
<li>Excellent written and verbal communication; able to translate between scientific, regulatory and commercial audiences.</li>
<li>Single-point accountability mindset: comfort owning named innovation workstreams, presenting progress against pre-set criteria, and making continue / pivot / stop recommendations.</li>
<li>Strong collaborative working style across R&amp;D, Regulatory, Medical Affairs and Commercial functions.</li>
</ul>
<p><b>Desirable</b></p>
<ul>
<li>Experience in a regulated medical-device or SaMD development environment (ISO 13485, IEC 62304, FDA 510(k) or De Novo submissions, EU MDR).</li>
<li>Experience with AI / ML model lifecycle in clinical or trial settings, including post-market performance monitoring and GMLP-aligned practice.</li>
<li>Familiarity with multimodal biomarker integration (imaging + plasma + digital cognition).</li>
<li>Experience designing or working with API-delivered analytics, SaaS platforms, or partner-integrated clinical-trial software.</li>
<li>Prior experience in a CRO, medical imaging technology company or comparable industry setting.</li>
<li>Track record of peer-reviewed publication and conference presentation in relevant fields.</li>
</ul>
<p><b>Benefits:</b></p>
<ul>
<li>Competitive remuneration package including benchmarked salaries.</li>
<li>Staff Annual Bonus Plans and Annual Salary Review.</li>
<li>Generous employer pension contribution of 6%.</li>
<li>25 days annual leave, increasing up to 28 days with every year at IXICO.</li>
<li>BUPA private medical insurance scheme.</li>
<li>Life Assurance of 4x annual salary.</li>
<li>Employee Benefits Portal, offering various discounts in retail, food &amp; drink, and entertainment.</li>
<li>Engaging and social environment, with fundraising and sporting activities and seasonal events such as Summer and Christmas parties.</li>
<li>Wellbeing initiatives such as eye tests, flu jabs, and Mental Health Awareness Training.</li>
<li>Employee Assistance Programme offering advice and support on a wide range of topics.</li>
<li>Hybrid working model pattern split between working in the City of London and remotely.</li>
<li>Reimbursement allowance to purchase equipment to support working from home.</li>
<li>Generous employee referral scheme offering &pound;2,000 for referring a successful candidate to the company.</li>
<li>Financial assistance for professional qualifications.</li>
<li>Opportunity to contribute to an industry where your work has an impact every single day.</li>
</ul>
<p><b>How to Apply</b></p>
<p>
IXICO is working hard to create a representative, inclusive and empowered team, because we believe different experiences, perspectives and backgrounds make a better workplace, and ultimately better services.</p>
<p>
IXICO doesn&rsquo;t discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class.</p>
<p>
This is a great opportunity for a motivated <b>Senior Research Engineer</b><b> </b>in a permanent full-time capacity to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis.</p>
<p>
If you think IXICO should meet you, please send us your CV and covering letter by email to <b>careers@ixico.com </b>or apply directly via <b>LinkedIn</b>. We are looking forward to your application.</p>
<p>
Please note that our entire business is operating under a <b>Hybrid-Working Model</b>, where UK-based employees are required to attend our London office <b>2 days a week</b>. If you have got any questions, please reach out to our careers team.</p>
<p>
Please note that IXICO will process the data provided by you only in order to perform the outlined recruitment exercise. For more details on what data we process and on what legal basis this happens please view our Recruitment Privacy Policy or contact careers@ixico.com.</p></div></div></div></div>

Senior Research Engineer

Georgia Tech

About Us
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Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our strategic plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.
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About Georgia Tech
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Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.
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Georgia Tech's Mission and Values
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Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
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1. Students are our top priority.
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2. We strive for excellence.
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3. We thrive on diversity.
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4. We celebrate collaboration.
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5. We champion innovation.
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6. We safeguard freedom of inquiry and expression.
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7. We nurture the wellbeing of our community.
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8. We act ethically.
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9. We are responsible stewards.
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Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.
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Location
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Atlanta, GA
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Job Summary
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Position Summary
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The H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at the Georgia Institute of Technology seeks a highly motivated and creative Research Engineer to support and advance research in Extended Reality (XR). The Research Engineer is expected to exercise substantial intellectual leadership and be eager to play a key role in building a vibrant, externally funded research ecosystem at the intersection of engineering, XR, and human-centered systems. The Research Engineer will work closely with the Director of the Symbiotic and Augmented Intelligence Laboratory (SAIL), as well as collaborators across Georgia Tech, to lead and support research initiatives, mentor students, and actively pursue external funding.
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<b>Primary Responsibilities:</b><br>
The Research Engineer will lead and contribute to externally funded research activities aligned with SAIL's research initiatives, currently funded by an NSF RITEL grant. Responsibilities include:
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Leading and contributing to research projects focused on XR, human machine/AI/robot collaboration and related human-centered engineering use cases.
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Producing high-quality scholarly outputs, including peer-reviewed journal articles, conference papers, technical reports, and public-facing demonstrations.
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Leading XR-based experimental studies, system development efforts, and validation activities in both laboratory and real-world settings.
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Mentoring graduate and undergraduate students, including supervision of XR-related research projects and thesis/dissertation work when appropriate.
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Initiating new research directions and partnerships that expand SAIL's research portfolio.
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Required Qualifications
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A Master's degree & 3 years of relevant full-time experience after completion of degree
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A Master's degree & 5 years of relevant full-time experience after completion of a Bachelor's degree, or
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Doctoral degree
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Preferred Qualifications
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PhD in Industrial Engineering, Systems Engineering, Human Computer Interaction, Computer Science, Mechanical Engineering, Robotics, or a closely related field.
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Demonstrated experience conducting independent and collaborative research in XR, HCI, or human-centered engineering systems.
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Strong track record or clear potential for securing external research funding.
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Experience publishing in peer-reviewed journals and top-tier conferences.
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Technical expertise in XR systems, experimental design, and data analysis.
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Ability to work effectively in interdisciplinary research environments.
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Experience managing or co-leading shared research facilities or labs.
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Prior industry, government, or applied research experience.
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Experience mentoring graduate and undergraduate researchers.
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Familiarity with safety, ethics, and compliance considerations in human-subjects research.
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Required Documents to Attach
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<b>Applicants should submit:</b><br>
An academic cover letter
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A current curriculum vitae
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The names and contact information for at least three references. Note: References will only be contacted for candidates invited to a second round interview.
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Contact Information
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For questions related to the job post, please contact Mohsen Moghaddam.
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USG Core Values
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The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct .
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Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 .
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Equal Employment Opportunity
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The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.
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Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.
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Background Check
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A successful candidate must be able to pass a background check. Please visit: https://usg.policystat.com/policy/19298143/latest

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