University of Pristina in Kosovska Mitrovica

Associate Professor / Professor – Artificial Intelligence/ Machine Learning, Computer Science (Teaching Track) Illinois Institute of Technology – Mumbai Campus About the University Illinois Institute of Technology (Illinois Tech), based in Chicago, USA, is a private, Ph.D.-granting research university with globally recognized programs in architecture, engineering, computing, sciences, humanities and social sciences, psychology, business, law, and design. Illinois Tech is ranked #1 in Illinois and #23 nationally in The Wall Street Journal’s “America’s Best Colleges 2024.” The College of Computing at Illinois Tech is expanding its global presence through the establishment of a new campus in Mumbai, India. The Mumbai campus will offer the following degree programs: Bachelor’s in Computer Science Master’s in Computer Science Bachelor’s in Artificial Intelligence Master’s in Artificial Intelligence Master’s in Data Science To support these programs, Illinois Tech invites applications for Associate Professor and Professor level teaching-track faculty positions in Artificial Intelligence and Machine Learning. Position Summary Illinois Institute of Technology invites applications for Associate Professor and Professor teaching-track faculty positions at its Mumbai campus. These positions focus on delivering high-quality undergraduate and graduate instruction in Artificial Intelligence, Machine Learning, and related areas of Computer Science. Candidates should demonstrate a strong commitment to teaching excellence, student mentorship, and curriculum development. Senior faculty will also contribute to academic leadership, program development, and mentorship of junior faculty, helping to build strong AI and ML programs at Illinois Tech’s Mumbai campus. Courses will be delivered in person in Mumbai, India. Online teaching is not an option. Key Responsibilities Teach undergraduate and graduate courses in Artificial Intelligence and Machine Learning Deliver courses in areas such as: Machine Learning Deep Learning Advanced Artificial Intelligence Natural Language Processing (NLP) Data Preparation and Data Analysis Contribute to curriculum development and course design for AI and ML programs Mentor and advise undergraduate and graduate students Participate in departmental, college, and campus service activities Provide academic leadership and mentorship to junior faculty Support the development and growth of Illinois Tech Mumbai academic programs Qualifications Applicants must have: A Ph.D. in Computer Science or a closely related field by the start of the appointment Demonstrated excellence in university-level teaching Strong expertise in Artificial Intelligence and Machine Learning Strong communication and interpersonal skills Ability to teach advanced AI and machine learning courses For Associate Professor and Professor-level candidates, the following are preferred: Significant experience teaching undergraduate and graduate AI/ML courses Evidence of curriculum development or academic leadership Experience mentoring students and junior faculty A record of scholarly or professional contributions in AI, machine learning, or data science Application Requirements Applicants must submit the following materials: Cover Letter Curriculum Vitae (CV) Teaching Statement detailing teaching experience, teaching philosophy, and teaching interests Names and contact information for three or more professional references The faculty will deliver courses in person in Mumbai, India. Online delivery is not an option. If you are unable to upload the documents, please share your application pack at careers@daskalos.com

The Department of Geography at Durham University seeks to appoint an Assistant Professor in Physical Geography who has expertise in the field of Earth Observation. We seek someone who will complement and extend our current work in one or more of our research clusters (Hazards and Surface Change; Catchments and Rivers; Sea Level, Ice Sheets and Climate), but we particularly welcome applications from candidates who apply Earth observation approaches to outstanding problems in the fields of mountain environments, geohazards, geomorphology and catchments and river science. The successful candidate will develop world class scholarship in their field. They will have completed a PhD in a relevant field, have a track record of internationally excellent and agenda setting publications and demonstrate a track record of, or potential for, securing external funding. They will have experience of, or show a commitment to, delivering excellent teaching at undergraduate and postgraduate levels and will be expected to contribute to undergraduate and Master's-level teaching. In addition to their research, the successful candidate will contribute to the department through administrative roles commensurate with their grade. Geography at Durham consistently ranks among the very best departments in the UK and the world. We were ranked equal =1st in the REF 2021 research assessment exercise with a research environment that was awarded the highest possible 100% 4* score. We are ranked 6th in the world in the 2026 QS World University Rankings by Subject. Our students report high satisfaction levels in the National Student Survey. As an Assistant Professor, you will benefit from our commitment to ensure that your teaching load is sustainable, and from our generous research leave policy. This will give you time to carry out internationally excellent research, informing your teaching and supervision at undergraduate and postgraduate level. We support academics with a generous travel allowance and you will be able to apply to the Department's Research Development Fund for additional funding to develop your research. We regularly host visiting academics and research students from around the world. The department benefits from access to diverse PhD funding sources including the IAPETUS NERC Doctoral Training Partnership. We have a suite of world-class laboratories and field equipment for research and teaching supported by an experienced team of technicians. The post offers an exciting opportunity to make a major contribution to internationally excellent research and teaching while allowing you unrivalled opportunities to progress and embed your career in an exciting and progressive institution. The department recently achieved an Athena Swan Silver award, and we continue to further embed actions to promote equality in everything we do. We are proud of our efforts to decolonise our curricula and ensure inclusive fieldwork for staff and students, and to be part of a vibrant university community that celebrates diversity. We encourage talented people from all backgrounds to join us. Successful applicants will, ideally, be in post by 1 October 2026. Please direct informal enquiries to Prof Colm O'Cofaigh (Head of Department) . The closing date for applications is 10 May 2026. For more information on the Department of Geography see: https://www.dur.ac.uk/geography/

Ref.: 534532 Work type: Full-time Department: Department of Data and Systems Engineering (14400) Categories: Professoriate Staff Professor and Head of Department of Data and Systems Engineering The Faculty of Engineering at the University of Hong Kong invites applications for appointment as Professor and Head of Department of Data and Systems Engineering (Ref.: 534532), to commence as soon as possible. The appointment as Head of Department will be made for an initial term of three years, renewable subject to mutual agreement. The University Founded in 1911, the University of Hong Kong has attained its pre-eminence as a research-led comprehensive university by upholding the highest international standards of excellence in its research, scholarship, teaching and learning, and service to the community.  The University is consistently ranked amongst the world’s top universities: 11th in QS World University Rankings 2026, 1st in the QS Asia University Rankings 2026 and 33rd in Times Higher Education World University Rankings 2026.  In recent years, the University was ranked multiple times as the most international University in the world. There are more than 19,000 undergraduate and 23,000 postgraduate students and more than 9,600 academic, academic-related and administrative staff at the University. The Faculty The Faculty of Engineering, one of the founding faculties of HKU, is at the forefront of engineering research and education. It is among the largest faculties at the University, offering a wide range of undergraduate, postgraduate, and research degree programmes. In 2024–25, the Faculty enrolled over 7,500 students (approximately 37% undergraduate and 63% postgraduate) and attracted over HK$2 billion in research funding. The Faculty has more than 230 full-time professoriate and teaching staff, with strong links to industry, government, and international academic partners, and a thriving ecosystem for interdisciplinary innovation. The Department The Department of Data and Systems Engineering (DASE) (formerly the Department of Industrial and Manufacturing Systems Engineering) currently comprises around 20 core faculty members and serves approximately 200 undergraduate and 600 graduate students. DASE offers a portfolio of programmes including: BEng in Data and Systems Engineering MSc(Eng) in Industrial Engineering and Logistics Management MSc(Eng) in Robotics and Intelligent Systems MPhil and PhD programmes in related areas In the era of the artificial intelligence and big data revolution, DASE upholds the philosophy of 'computing-in-practice'. Its vision is to bridge the cyber and physical worlds by integrating data science methodologies (including AI and machine learning) with human-centric tools such as robots and intelligent systems to create greater value for humanity. To achieve this goal, DASE focuses on three key and rapidly evolving areas: Data Engineering and Analytics Human-Machine Cooperation Robotics and Automation DASE is well-positioned for significant growth in research, education, and impact, both within Hong Kong and internationally. The Role Reporting to the Dean of Engineering, the Head of DASE will provide strategic, intellectual, and visionary leadership to grow the Department’s research and educational missions, lead the expansion of the Department professoriate and shape the Department’s future, and contribute to the broader advancement of the Faculty of Engineering. Qualifications and Attributes Applicants should have: A PhD in a relevant field and academic stature appropriate for appointment as Professor or Chair Professor at HKU; Distinguished academic credentials, with internationally acclaimed research achievements and scholarly leadership in areas related to the Department’s strengths; A proven track record of academic leadership, preferably including prior administrative and management experience; Demonstrated commitment to high-quality teaching, student learning, and mentoring, including the development of early-career faculty and researchers; Outstanding leadership, interpersonal, and communication skills, with the ability to inspire and unite faculty, staff, and students around a shared vision; Ability to build strategic partnerships with industry, government, and international academic institutions, and to contribute to resource development and institutional advancement. Research Environment and Opportunities Hong Kong and the Chinese Mainland offer a particularly rich research funding landscape, with opportunities that far exceed those available in many other countries. Faculty can access competitive funding through research funding agencies, government schemes and collaborative opportunities with local, regional, and international industry partners.  The University is also adding major new facilities in the region, providing a world-class infrastructure for cutting-edge research, innovation, and talent development. Terms and Benefits A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided as applicable. Application The University only accepts online applications for the above post. To ensure full consideration, applicants should apply online and upload: (1) an up-to-date CV with publication list, (2) a letter of interest outlining their experience and vision for research and academic leadership, (3) an outline of their strategic vision as the Head of DASE if appointed. Review of applications will start on August 1, 2026 and continue until the post is filled. Advertised:May 1, 2026 (HK Time) Applications close:Jul 31, 2026 (HK Time)