Turkmen Agricultural University named after S.A. Niyazov

Description We are looking to hire a Junior Research Scientist or engineer to help us design and build novel systems and tools for decision-making support. You can learn more about our research vision and work on the lab website (huda-lab.github.io). HuDa lab examines data and decision-making from a tooling and systems-building perspective. You can learn more about the lab’s PI, Prof Azza Abouzied, here (azzaabouzied.com). A successful candidate should be able to design and implement systems and tools as well as demonstrate their efficacy through comparative performance evaluations or user studies. They should be able to work independently or as part of a team, depending on the project's scope. As we publicly share all our code and data artifacts, good coding & reproducible experimentation practices are a must. We meet frequently to provide short status updates and have regular technical 1-1s to dive deep into research problems. Successful RAs or REs present their work, progress, and challenges concisely and clearly. They should be keen about publishing their work and findings and strive to meet deadlines. A bachelor’s degree in Computer Science or Computer Engineering is required. The candidate should also demonstrate experience and excellence in systems or tool building, algorithmic thinking, and research. The ability to program in Python, C++, and other frameworks is a must. Comfort with declarative programming, SQL, and data management is highly desired. The job description further outlines desired skill sets, including the completion of advanced courses or projects in systems, HCI, or AI/ML. Employees receive a competitive salary with attractive benefits, including housing allowance, medical insurance, annual home leave allowance, and (if applicable) dependent private school fees. Salaries are tax-free in the UAE (for US tax, the Foreign Earned Income Exclusion can be used). The researchers will have dedicated funds for traveling, computing, publications, and access to excellent world-class research facilities.  Applications will be evaluated immediately and will continue until the position is filled. To apply, please submit a cover letter, curriculum vitae, transcript, statement of research interests, and two letters of reference, all in PDF format. Questions regarding specifics for this position may be directed to Prof. Azza Abouzied (azza@nyu.edu). About NYU Abu Dhabi https://nyuad.nyu.edu/en/  NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply. [1] Applicants interested in applied data science project where they study certain social or digital phenomena using data science/ML/network analysis/etc. will find that we do not do such research in our lab.

Description The Sustainable and Innovative Transport Demand (SIT-D) at New York University Abu Dhabi (NYUAD) is seeking a postdoctoral associate to conduct studies on the use of Immersive Virtual Reality to elicit users’ preferences for innovative transport systems. Applicants with a background in behavioral analysis and mathematical modelling are encouraged to apply. Terms of employment include competitive salary and benefits. Research in the SIT-D lab focuses on understanding and modelling consumers' behavior and decision process for sustainable transport modes and transport innovations. Research is interdisciplinary involving behavioral economics, psychology, neuroscience, computer science applied to the transport domain. Responsibilities of the position include building experiments to understand user’s decision process for innovation, collecting neurophysiological and other relevant data, programming and analysis routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD degree or equivalent in a field related to behavioral analysis and mathematical modelling and demonstrated experience with neurophysiological measurements, as well as data collections and field experiments. Knowledge of Unity platform or Unreal Engine is desirable. Organizational skills and attention to detail are essential. Applications will be accepted immediately. To be considered, all applicants must submit a cover letter/statement of research interests, a resume, and contact information for at least two references. The terms of employment are competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, research statement and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email Prof. Elisabetta Cherchi at Elisabetta.Cherchi@nyu.edu. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements 1. Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently