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Tashkent Institute of Irrigation and Agricultural Mechanisation

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Sustainability Impact Rated
Tashkent City, Uzbekistan
501–600th in World University Rankings 2026
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About Tashkent Institute of Irrigation and Agricultural Mechanisation

Basic information and contact details for Tashkent Institute of Irrigation and Agricultural Mechanisation

institution
The Tashkent Institute of Irrigation and Agricultural Mechanisation Engineers was founded in 1923 and has since been through a range of name and role changes. It has operated under its current name since 2017. The university offers courses in in engineering (irrigation, water resources, environment, electrification and automation, agricultural mechanisation), land management and agricultural economics, and management and marketing. There are seven divisions which include hydromelioration; hydrothechnical construction; agricultural mechanisation; mechanisation of hydromeliorative works; energy supply of agriculture and water resources; land management resources; organisation and management of water resources). These seven divisions cover 36 separate departments. Degree programmes now offered across 19 bachelor of science programmes, 16 master of science programmes and 13 PhD programmes. It aims to be "a first-class regionally recognised academic and research institution known for its top programmes in engineering, land management and industrial economics". The student's town was established in 1987 and is home to many facilities including the student dormitories. Its alumni have played significant national roles since independence. Shavkat Mirzoyeyev, who studied agricultural mechanisation from 1976 to 1981, was prime minister from 2003 to 2016 and has been president since 2016. His leading lieutenants included Rustam Azimov, minister of finance from 1998 to 2000 and from 2005 to 2016 and deputy prime minister from 2005 to 2017. The university is located in the Uzbek capital of Tashkent which is among the hubs of Central Asia and a historic Silk Road junction. The university underwent significant change post-independence, in particular expanding Uzbek teaching and translating course literature into the national language. Courses are offered in Uzbek, Russian and English.

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Key Student Statistics

A breakdown of student statistics at Tashkent Institute of Irrigation and Agricultural Mechanisation

gender ratio
Student gender ratio
44 F : 56 M (1)
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International student percentage
11% (1)
student per staff
Students per staff
6.5 (1)
student
Student total
5244 (1)

Based on data collected for the (1) World University Rankings 2026

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CUS - Postdoctoral Researcher in Nature-Based Solutions (NBS)

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institution

Mohammed VI Polytechnic University

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Location: Benguerir, UM6P Contract Type: Fixed-Term Contract (CDD) Duration: 2 years Start Date: As soon as possible Job Description: We are looking for a dynamic and motivated postdoctoral researcher to join our research team on nature-based solutions (NBS). The successful candidate will work on interdisciplinary projects aimed at promoting the integration of NBS in environmental management and sustainable urban development. Responsibilities: Research and Development: Conduct original research on NBS, including the design and implementation of field projects, data analysis, and publication of results in high-level scientific journals. Interdisciplinary Collaboration: Work closely with experts in ecology, hydrology, urban planning, and other relevant disciplines to develop innovative and integrated solutions. Analysis and Modeling: Use modeling tools to evaluate the impact of NBS on climate resilience, biodiversity, and urban quality of life. Communication and Dissemination: Prepare and present reports, scientific articles, and presentations for international conferences. Participate in workshops and seminars to disseminate research results. Project Management: Contribute to the management of research projects, including writing funding proposals, coordinating with partners, and monitoring budgets. Required Qualifications: PhD: A PhD in ecology, biology, environmental sciences, civil engineering, or a related field. Experience in NBS: A solid background in researching and applying NBS, demonstrated by relevant publications and research projects or expertise which can be in the following areas (non-exhaustive list): Green roofs and walls: Installing vegetation on roofs and building walls to reduce urban heat islands, improve air quality, and provide habitats for biodiversity in an arid zone context; Ecological corridors, greenways: Creating natural passages that connect fragmented habitats to allow for the movement and migration of species, thus increasing biodiversity; Urban arid "forests": Planting trees and creating green spaces in urban areas to improve air quality, provide shade, reduce ambient temperature, and offer recreational spaces for communities. Strong experience in NBS research and application, demonstrated by relevant publications and research projects. Technical Skills: Proficiency in ecological modeling techniques, GIS (Geographic Information Systems), and statistical analysis tools. Publications: A strong record of publications in international scientific journals. Communication Skills: Excellent written and oral communication skills, with the ability to present complex ideas to diverse audiences. Languages: Proficiency in English and French, both written and spoken. Desired Skills: Teamwork: Demonstrated ability to work effectively in a team in an interdisciplinary research environment. Project Management: Experience in managing research projects, including writing funding proposals and coordinating partners. Adaptability: Ability to adapt to new challenges and work in dynamic and constantly evolving research environments. Innovation: Creative and innovative mindset with a passion for finding sustainable solutions to environmental challenges. Knowledge of Africa: Knowledge of environmental and socio-economic contexts in Africa or a strong interest in working on projects in Africa. Application: Interested candidates are invited to submit the following documents: A detailed cover letter outlining their interest in the position and qualifications. A complete curriculum vitae including a list of publications. Examples of relevant research work or publications. Contact details of three professional references.

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13 Mar 2026

COLCOM - Post Doc Position at College of Computing

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

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Mohammed VI Polytechnic University

Morocco


About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. All UM6P programs run as start-ups and can be self-organized when they reach a critical mass. Academic liberty is promoted as far as funding is developed by research teams. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. About UM6P College of Computing: The College of Computing, with a campus in Rabat and a campus in Benguerir, is a central component of the University Mohammed VI Polytechnic (UM6P). The main goal of the College is to set up an unprecedented research-education program, of international level, to address the UM6P challenges in terms of research and education, covering all aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Jobs Summary:  UM6P invites applications for post-doc, in all areas of Computer Systems. A successful post-doc candidate will work with a professor of the College. The position is open to individuals with a PhD degree from a recognized university and with substantial expertise in Computer Systems. Qualified candidates will be recruited according to their academic accomplishments. For applications at the post-doc, candidates should demonstrate excellent potential research. Application Requirements: A cover letter indicating the position applied for.  A detailed CV. Contact information of at last 3 references at the post-doc, (applicants are assumed to have obtained their references’ consent to be contacted for this matter).

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COLCOM - Postdoctoral Researcher in Genomic Language Models for Bacterial Genomes

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

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Mohammed VI Polytechnic University

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Location: University Mohammed VI Polytechnic, College of Computing, Bioinformatics Laboratory, Ben Guerir, Morocco. Duration: 2 years About the Lab/Institution: The Bioinformatics Laboratory conducts research in the fields of bioinformatics, computational biology and computational chemistry and serves the agricultural, environmental and health sectors. The lab also provides bioinformatics consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass spectrometry and the largest HPC (High Performance Computing) cluster in Africa. The laboratory aims to leverage these resources to address bioinformatics needs internally and at the African level and to develop innovative research and training programs. For more information about the laboratory, you can visit https://bioinformatics.um6p.ma/ Project Description: We are seeking a highly motivated and talented postdoctoral researcher to join our team to develop a novel GPT-like system for bacterial genomes using cutting-edge genomic language models. This project aims to adapt and extend transformer-based architectures to create a powerful tool for understanding and predicting bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models, applying them to diverse bacterial use cases, and contributing to the development of software tools for the broader research community. Responsibilities: Develop and implement transformer-based genomic language models for bacterial genome analysis. Train and evaluate models on large-scale bacterial genomic datasets. Apply the developed models to address specific research questions, such as gene function prediction, antibiotic resistance analysis, and evolutionary studies. Analyze and interpret results, and prepare manuscripts for publication in peer-reviewed journals. Collaborate with other researchers within the lab and external collaborators. Maintain accurate and organized records of research activities. Qualifications: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field. Strong background in machine learning, particularly deep learning and natural language processing. Experience with transformer-based architectures (e.g., BERT, GPT) is highly desirable. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools and genomic data analysis. Strong programming and data analysis skills. Excellent communication and writing skills. Ability to work independently and as part of a team. Preferred Qualifications: Experience working with bacterial genomic data. Knowledge of bacterial genetics and evolution. Experience developing software tools for bioinformatics applications. Experience with cloud computing platforms. To Apply: Please submit the following materials Cover letter outlining your research interests and experience. Curriculum vitae (CV) including a list of publications. A brief research statement describing your past research and future interests. Contact information for three professional references.

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Competitive

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COLCOM - Postdoctoral Researcher in Federated Learning Over Wireless Networks

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment in the metropolitan area of Marrakech. The School of Computer Science at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a two-year research project in collaboration with international academic partners. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic environments. Key duties: The Postdoctoral Fellow is expected to: Publish in high-impact journals in the field. Supervise graduate and undergraduate students. Criteria of the candidate: PhD in the field of wireless communication, computer science, or any related field. Strong publication record in high-impact conferences/journals. Aptitude for teamwork, problem-solving, and collaborative relationships Strong technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless communication. Good communication skills in oral and written English Employment terms: The successful candidate will be employed by Mohammed VI Polytechnic University (UM6P) based at Benguerir (50 km north of Marrakech), Morocco. Applications and selection procedure: Applications must be sent using a single electronic zipped folder with the mention of the job title in the mail subject. The folder must contain: A 1-page cover letter. A detailed CV. A research statement. A digital copy of the PhD thesis. Contact information for at least two potential academic referees. The earliest available starting date of the candidate. Shortlisted candidates will be invited for an Interview.

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GTI - Postdoctoral Researcher – AI/ML for Energy Systems

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

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Mohammed VI Polytechnic University

Morocco


Job Title: Postdoctoral Researcher – AI/ML for Energy Systems Location: Ben Guerir Position Type: Postdoctoral Research Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields. The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. The Green Tech Institute at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking a highly motivated postdoctoral researcher to join our team in exploring the intersection of energy transition, circular economy, and sustainable construction production. This position aims to advance innovative solutions that promote sustainability in the built environment, focusing on the effective integration of renewable energy, resource efficiency, and waste reduction. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable energy and sustainable construction. Position Overview: We are seeking a talented and motivated Postdoctoral Researcher to join our cutting-edge team, working on the development of advanced AI/ML algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be on creating and optimizing state-of-charge (SOC) and state-of-health (SOH) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics for real-time battery health monitoring and fault detection. Collaborate with embedded systems and hardware engineering teams to integrate AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including edge AI applications. Guide PhD students and collaborate with engineers to implement advanced ideas. Author scientific publications, present findings at conferences, and contribute to patents or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and applying AI/ML models to energy systems or similar applications. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud) Understanding of BMS architecture and electric mobility systems.

Salary

Competitive

Posted

13 Mar 2026

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Subjects Taught at Tashkent Institute of Irrigation and Agricultural Mechanisation

See below for a range of subjects taught at Tashkent Institute of Irrigation and Agricultural Mechanisation

Arts and Humanities

  • History, Philosophy and Theology
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Business and Economics

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  • Business and Management
  • Economics and Econometrics

Computer Science

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Education Studies

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Engineering

  • Chemical Engineering
  • Civil Engineering
  • Electrical and Electronic Engineering
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  • Mechanical and Aerospace Engineering

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Life Sciences

  • Agriculture and Forestry
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Physical Sciences

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  • Geology, Environmental, Earth and Marine Sciences
  • Mathematics and Statistics
  • Physics and Astronomy

Psychology

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Social Sciences

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