Professor Natasa Przulj is recruiting PhD students and postdoctoral researchers to join her lab at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi. The lab focuses on cutting-edge research in Computational Biology, Artificial Intelligence, Bioinformatics, Network Science, and Precision Medicine, with opportunities to work on high-impact projects such as the Human Phenotype Project and Emirati Genome Project. MBZUAI is recognized as a top-10 global university in relevant fields according to CS Rankings and offers a vibrant, interdisciplinary research environment with world-class faculty.

PhD students will join an outstanding program in Computational Biology, benefiting from all expenses covered, including tuition and living costs, plus a generous monthly stipend. Postdoctoral researchers will collaborate with an interdisciplinary team, advancing state-of-the-art research in AI, computational biology, and therapeutics. The lab provides excellent career development opportunities, access to plentiful resources, and a supportive environment for impactful research and collaboration.

Applicants should have a strong background in computer science, mathematics, physics, bioinformatics, or related quantitative fields. Required skills include data science, machine learning, deep learning, network science, and proficiency in programming languages such as Python, TensorFlow, PyTorch, C, C++, Matlab, and scripting languages. Candidates should demonstrate strong analytical and problem-solving abilities, excellent English communication, and the capacity to work both independently and collaboratively. Postdoctoral applicants should have a record of publications in top-tier venues. Experience with algorithms, data analysis, graph/network theory, scientific computing, statistics, and medical informatics is highly valued.

To apply, PhD candidates should use the MBZUAI application portal, while postdoctoral applicants must email Prof. Przulj directly with their CV, cover letter, references, and transcripts. For more information, visit the lab's page or MBZUAI's faculty directory.