Qureos Mentor

King Abdullah University of Science and Technology

<div></div><div><div><div><div><div><div><div><div>Research Engineer Position in Applied Artificial Intelligence and IoT</div>
</div></div></div><div></div><div><div><div><div><div>King Abdullah University of Science and Technology: Researcher Positions: Computer, Electrical and Mathematical Science and Engineering Division
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST), Saudi Arabia
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Sep 11, 2025
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Oct 11, 2025 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>King Abdullah University of Science and Technology (KAUST) invites applications for a Research Engineer position in the field of Applied Artificial Intelligence and Internet of Things (IoT). The successful candidate will join the Integrated Intelligent Systems (I2S) Lab, led by Prof. Gianluca Setti, and contribute to the design, development, and deployment of cutting-edge AI- and IoT-based systems.</p>
<p>
This role is ideal for candidates with a strong background in embedded systems, sensor integration, and AI-based application development who are eager to work on innovative and high-impact projects. The position emphasizes implementation and prototyping of systems that combine AI algorithms with IoT hardware and software.</p>
<p><b>
About KAUST</b></p>
<p>
Established in 2009, King Abdullah University of Science and Technology (KAUST) is a graduate research university devoted to finding solutions for some of the most pressing scientific and technological challenges in the world as well as Saudi Arabia in the areas of food and health, water, energy, environment and the digital domain. KAUST is a curiosity-driven, interdisciplinary</p>
<p>
KAUST brings together the best minds from around the world to advance research. More than 100 different nationalities live, work and study on campus. KAUST is also a catalyst for innovation, economic development and social prosperity, with research resulting in novel patents and products, enterprising startups, regional and global initiatives, and collaboration with other academic institutions, industries and Saudi agencies.</p>
<p><b>
What We Offer</b></p>
<ul>
<li>World-class research environment with state-of-the-art laboratory facilities.</li>
<li>An exciting international workplace, hosting researchers from over 100 nationalities with opportunities to actively contribute with renowned experts and enhance your career development and training (https://opra.kaust.edu.sa).</li>
<li>Comprehensive benefits package, including competitive salary, health insurance, and access to outstanding campus amenities and services.</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>Bachelor&rsquo;s degree or higher in Electrical/Computer Engineering, Computer Science, or related field <b>(Candidates holding a PhD degree are not eligible for this position)</b></li>
<li>Proven experience in developing and deploying AI/IoT systems, particularly on embedded devices</li>
<li>Hands-on skills in programming (e.g., C/C++, Python) and working with microcontrollers, edge devices, or single-board computers</li>
<li>Experience with sensor integration (e.g., camera, LiDAR, environmental sensors) and communication protocols (e.g., MQTT, LoRa, BLE, Wi-Fi)</li>
<li>Familiarity with AI/ML frameworks (e.g., TensorFlow Lite, PyTorch Mobile, OpenVINO) for edge deployment</li>
<li>Strong problem-solving skills and ability to work both independently and as part of a team</li>
<li>Good written and verbal communication skills in English (mandatory)</li>
<li>Candidates of all nationalities are eligible for this position. Saudi nationals are particularly encouraged to apply</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><p>The position is open to applicants of all nationalities. Interested candidates should submit:</p>
<ul>
<li>Curriculum Vitae (CV), including relevant project experience;</li>
<li>Cover letter describing your skills, previous work, and career goals;</li>
<li>Copies of Transcripts showing courses taken during the graduate degree programs;</li>
<li>Contact information for three referees.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div><p></p>

RESEARCH ENGINEER POSITION IN APPLIED ARTIFICIAL INTELLIGENCE AND IOT

<div></div><div><div><div><div><div><div><div><div>Postdoctoral Research Fellow Position in Applied Artificial Intelligence and IoT</div>
</div></div></div><div></div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Computer, Electrical and Mathematical Science and Engineering Division (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST), Saudi Arabia
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Sep 11, 2025
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Oct 11, 2025 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>King Abdullah University of Science and Technology (KAUST) invites applications for a Postdoctoral Researcher position in the field of Applied Artificial Intelligence and Internet of Things (IoT). The successful candidate will join the Integrated Intelligent Systems (I2S) Lab, led by Prof. Gianluca Setti, and contribute to cutting-edge research at the intersection of AI and IoT.</p>
<p>
We are seeking talented researchers who have recently completed, or are about to complete, their Ph.D. and are eager to advance their careers by engaging in challenging, innovative, and high-impact research. This position offers a unique opportunity to actively shape the lab&rsquo;s research agenda and work on ambitious, multidisciplinary projects.</p>
<p><b>
About KAUST</b></p>
<p>
Established in 2009, King Abdullah University of Science and Technology (KAUST) is a graduate research university devoted to finding solutions for some of the most pressing scientific and technological challenges in the world as well as Saudi Arabia in the areas of food and health, water, energy, environment and the digital domain. KAUST is a curiosity-driven, interdisciplinary</p>
<p>
KAUST brings together the best minds from around the world to advance research. More than 100 different nationalities live, work and study on campus. KAUST is also a catalyst for innovation, economic development and social prosperity, with research resulting in novel patents and products, enterprising startups, regional and global initiatives, and collaboration with other academic institutions, industries and Saudi agencies.</p>
<p><b>
What We Offer</b></p>
<ul>
<li>World-class research environment with state-of-the-art laboratory facilities.</li>
<li>An exciting international workplace, hosting researchers from over 100 nationalities with opportunities to actively contribute with renowned experts and enhance your career development and training (https://opra.kaust.edu.sa).</li>
<li>Comprehensive benefits package, including competitive salary, health insurance, and access to outstanding campus amenities and services.</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>Ph.D. in a relevant field (e.g., Electrical/Computer Engineering, Computer Science, or related disciplines);</li>
<li>Proven research track record with a strong publication record in relevant areas;</li>
<li>Excellent written and verbal communication skills in English (mandatory);</li>
<li>Ability to work independently, demonstrate critical thinking, and contribute to a collaborative research environment;</li>
<li>Proven experience in mentoring graduate students is desired;</li>
<li>Experience in anomaly detection, predictive maintenance, or related topics is preferred.</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><p>The position is open to applicants of all nationalities. Interested candidates should submit:</p>
<ul>
<li>Curriculum Vitae (CV), including your list of publications;</li>
<li>Cover letter describing research interests and career goals;</li>
<li>Copies of Transcripts showing courses taken during the M.S./Ph.D. degree programs;</li>
<li>Contact information for three referees.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div><p></p>

POSTDOCTORAL RESEARCH FELLOW POSITION IN APPLIED ARTIFICIAL INTELLIGENCE AND IOT

<div></div><div><div><div><div><div><div><div><div>Faculty position in Chemical Engineering Process Modeling, Control, and Optimization</div>
</div></div></div><div></div><div><div><div><div><div>King Abdullah University of Science and Technology: Faculty Positions: Physical Science and Engineering Division (faculty)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology, Physical Science and Engineering Division (Faculty)
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Sep 01, 2025
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Nov 30, 2025 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>We invite applications for a faculty position in chemical engineering with a focus on process modeling, control, and optimization, as well as data-driven methods for sustainable energy and advanced manufacturing.</p>
<p>
The candidate should have expertise in dynamic process modeling, control theory, and optimization of chemical and energy systems.<br>
The candidate should have expertise in simulation, prediction, and optimization of large-scale, multiscale, or networked chemical processes. Special emphasis will be directed toward incorporating advanced algorithms, high-performance computing, uncertainty quantification, digital twins, and machine learning into process systems of industrial and societal relevance.</p>
<p>
Furthermore, we expect research proposals to align closely with the UN Sustainable Development Goals and to contribute significantly to the objectives outlined in Saudi Vision 2030. This alignment should be explicitly demonstrated by emphasizing one or more of KAUST's Research, Development, and Innovation (RDI) priorities, which include:</p>
<p>
1. Health &amp; Wellness<br>
2. Sustainable Environment &amp; Essential Needs<br>
3. Energy &amp; Industrial Leadership<br>
4. Economies of the Future</p>
<p>
For a comprehensive understanding of KAUST's strategic vision, please refer to the following link: https://www.kaust.edu.sa/en/about/our-strategy<br>
<br>
About the PSE Division and KAUST<br>
<br>
The Physical Science and Engineering Division comprises seven Degree Programs: Material Science and Engineering, Applied Physics, Earth Science and Engineering, Energy Resources and Petroleum Engineering, Chemistry, Chemical Engineering, and Mechanical Engineering. These disciplines provide the foundation for our Division's quest to address some of the major challenges that we face in the world today, including those related to energy and the environment. Specifically, our faculty members and their research teams work on topics as diverse as: renewable energy, photovoltaics, porous materials for carbon capture and membranes, clean combustion, atmospheric modeling, new polymers and composite for smart materials and structures, catalysis and catalytic processes.<br>
<br>
KAUST is an international graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located in Saudi Arabia, on the western shores of the Red Sea, KAUST offers superb research facilities, generous baseline research funding, and internationally competitive salaries, together with unmatched living conditions for individuals and families. More information about KAUST academic programs and research activities are available at:<br>
http://www.kaust.edu.sa</p></div><br>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><p>A Ph.D. in Chemical Engineering or a closely related discipline is required. Proven track record in managing a research group as well as publishing high-impact papers.<br>
<br>
<b>Teaching and service responsibilities</b><br>
<br>
Commitment to high-quality teaching at the graduate level, including two courses per academic year. Active service to KAUST on all aspects of academic life.
<br>
<br>
<b>Research Responsibilities</b><br>
<br>
The University offers access to multiple sources of research funding to its Principal Investigators. The successful applicant should have an established record of publishing high-impact papers, and is expected to create a thriving research program including engaging in national and international scientific collaborations.</p></div><br>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><div>Application Instructions<br>
<br>
Applicants are required to complete an online application form using the Interfolio online application system (https://www.kaust.edu.sa/en/about/faculty-positions). To prevent any delays in reviewing your application, you will need to upload the following materials:<br>
<br>
<ul><li>a cover letter, introducing your candidacy, and explicitly stating both the position and the rank (Assistant, Associate, Full) that the candidate is applying for, is required. The rank must be consistent with the candidate experience,</li><li>up-to-date curriculum vita which includes full publication list,</li><li>statement of research interests,</li><li>statement of teaching interests,</li><li>a list of the names/affiliation and contact details of at least six potential referees,</li><li>copies of most relevant publications (maximum of five),</li><li>two citation reports (Web of Science and Scopus).</li></ul><br>
<br>
<b>PLEASE NOTE:</b> Only complete applications submitted through the online application system will be considered. Applications will be evaluated as soon as they are received and will receive full consideration until the positions are filled.</div></div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div><p></p>

FACULTY POSITION IN CHEMICAL ENGINEERING PROCESS MODELING, CONTROL, AND OPTIMIZATION

Join King Abdullah University of Science and Technology and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

King Abdullah University of Science and Technology

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RESEARCH ENGINEER POSITION IN APPLIED ARTIFICIAL INTELLIGENCE AND IOT

POSTDOCTORAL RESEARCH FELLOW POSITION IN APPLIED ARTIFICIAL INTELLIGENCE AND IOT

FACULTY POSITION IN CHEMICAL ENGINEERING PROCESS MODELING, CONTROL, AND OPTIMIZATION