How do I know who my advisor is? Can I change my advisor?

​For M.S. students, your advisor when you are admitted to KAUST is the Program Chair. For Ph.D. students, your advisor is your PI (supervisor) whose lab you have been accepted in to. 

Yes, you can change your advisor. M.S. students are advised to do so if/when they begin their thesis or directed research.  Ph.D. students do have the ability to change advisors, but the overall impact to the Ph.D. project, as well as the time left to finish the Ph.D., could be significant.  This will have to be taken into account before approval.

​M.S. students need 36 credits (combination of courses and research is specific to your program). 

Ph.D. students need 6 credits of 300-level coursework and will earn dissertation research credit each semester until they defend (no minimum credits established, although there is a minimum residency requirement of 2.5 years).

​During your final M.S. semester at KAUST, you will be eligible to submit a “rollover” application.  You will be contacted by the Admissions Office for this.  You must have a confirmed supervisor in order for the application to be approved.

​M.S. students get all university holidays (Eid Al-Fitr, Eid Al-Adha, Spring break).  

Ph.D. students get university holidays and three weeks of annual/vacation leave per calendar year to be taken in agreement with your PI.

​Mandatory, core and elective courses are listed in the program guide. The program guides for all BESE programs can be found here 
​“Time Extension to Complete M.S. Thesis” application request can be submitted by the 9th week of your final Fall semester.  See application for required approvals here .
​No.  Only once during your time here at KAUST.  If “WE Courses” appears on your KAUST transcript, that means you have met this requirement.​
​Yes, both M.S. and Ph.D. in all BESE programs must register, attend, and receive an S grade for the graduate seminar each semester (Spring and Fall, NOT summer).

​Yes. Drop and Add deadlines are on the academic calendar.

​Your GPC can help you request these from the Registrar’s Office, or you can contact them directly at  RegistrarHelpDesk@KAUST.EDU.SA​​ 

Latest Events

KSHI Seminar: Atinary Technologies - AI-driven R&D and discovery: How AI and Robotics are Shaping the Future of R&D with Self-Driving Labs



The founders of Atinary Technologies, Dr. Hermann Tribukait and Dr. Loïc Roch will share their vision on their Self-driving Labs technology that is accelerating optimization and discovery of breakthrough molecules and materials. In this talk, they will present Atinary’s AI platform and technology solutions – SDLabs – and will describe how Atinary’s users can accelerate and improve R&D significantly with an AI and data-driven approach. Lab scientists and operators can connect to SDLabs in the cloud, they can seamlessly integrate lab equipment and off-the-shelf robotic platforms into the workflow, and use the SDLabs platform after a few hours of onboarding. Thus, companies can deploy AI and machine learning solutions today, with no coding or ML expertise needed, starting with simulations or directly in their existing workflows in their wet labs, with or without robots.

About Atinary Technologies (websiteLinkedin):

Atinary's vision is to accelerate the transition to a healthier and sustainable future by developing AI solutions that revolutionize science and R&D. The mission is to democratize the access to AI/ML with Atinary’s Self-driving Labs® Platform and accelerate science and discovery to address global challenges. Atinary’s AI solutions allow users to solve complex optimization and discovery challenges that are intractable with the current methods, they can solve multi-objective and multi-parameter optimizations, including with categorical variables and physicochemical descriptors. Atinary also offers new algorithms to solve various constrained optimizations, as well as transfer learning algorithms to leverage valuable pre-existing datasets. Overall, Atinary’s AI platform solutions act as time machines, integrating AI, robotics, and digital technologies to exponentially accelerate R&D processes.


Dr. Hermann Tribukait

Atinary Technologies, Co-Founder & CEO


Dr. Hermann Tribukait is the Co-Founder and CEO of Atinary Technologies, a leading machine learning startup transforming R&D and molecules discovery. Hermann is an entrepreneur and recognized expert in innovation and technology development. Prior to launching Atinary, he co-authored and led the Clean Energy Materials Innovation Challenge of the global initiative Mission Innovation, representing Mexico’s Energy Innovation Funds. In 2017, Hermann co-authored the Materials Acceleration Platform Report that has become one of the seminal research reports on the vision of accelerated materials discovery and the concept of Self-Driving Labs Platforms that fully integrate artificial intelligence, robotics, and cloud computing with the humans in the lab.

Hermann has designed, negotiated and co-led innovation and R&D initiatives that have resulted in investments of more than US$200 million, including public private partnerships in North America, Asia and Europe. He is an affiliate of Lawrence Berkeley National Laboratory, a Founding Member of the World Alliance for Efficient Solutions of the Solar Impulse Foundation, invited by Dr. Bertrand Piccard, and a Member of the MIT Technology Review Global Panel. He co-authored Chapter 7 of the United Nations Environmental Program Emissions Gap Report 2018, on the role of innovation policy and market creation, invited by Prof. Mariana Mazzucato. He has a BA in Economics (summa cum laude) from ITAM (Mexico), and a Masters and Ph.D. in Economics from Harvard. He is fluent in English, German, and Spanish.


Dr. Loïc Roch

Atinary Technologies, Co-Founder & CTO


Dr. Loïc Roch is the co-founder and CTO of Atinary Technologies. He leads a multi-disciplinary team that is exploring the frontiers of machine learning and innovation to simplify and enhance experiment planning and transform R&D. Prior to founding Atinary Technologies, Loïc conducted postdoctoral studies at Harvard University and later at the renowned Vector Institute for artificial intelligence in Toronto. He studied Chemistry and Chemical Engineering at EPFL, and earned his PhD in quantum chemistry from the University of Zurich and Tianjin University.

With his expertise in AI, ML, quantum chemistry, and software design, Loïc is a thought leader in AI for materials discovery. As a visionary entrepreneur, scientist and nature-lover, he is committed to using his skills and knowledge to contribute to a more sustainable planet and a circular economy. He is driven by a purpose to accelerate R&D and introduce Self-driving Labs technology globally for a better tomorrow. Loïc’s vision and perseverance in advancing the field of AI for materials discovery reflects his firm belief in the power of science and technology to revolutionize our world for the good of society.


Dr. Hermann Tribukait & Dr. Loïc Roch