Universidad Catolica Nuestra Senora de la Asuncion

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

At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500  of them do research and teaching, around 2,900 work in administration and organisation. We are looking for a/an University Assistant (postdoctoral) - Behavioral Public Economics and Political Economy 37 Faculty of Business, Economics and Statistics Startdate: 01.09.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.08.2030 Reference no.: 5617 Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for continuous striving for top international research and scientific excellence. At the same time they enjoy support and liberties that are not a given at other institutions. Does that sound like something for you? Welcome to our team! Your personal sphere of play: Your future position is at the Vienna Center for Experimental Economics (VCEE) which is part of the Faculty of Business, Economics and Statistics. Information about the VCEE can be found on the website at https://vcee.univie.ac.at/ Your future tasks: Active participation in research, teaching & administration, which means: You are involved in research projects at the VCEE. You publish internationally and present your work at seminars and conferences. You participate actively in all activities of the VCEE (e.g., brownbag, seminar, retreat, workshops)  You apply for projects and raise third-party funds. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You participate in examination activities. You participate in evaluation measures and in quality assurance. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed doctoral/PhD studies in Economics (before starting your employment) Outstanding dissertation Ambition to build an international career Research Competence and initiative Didactic skills Excellent knowledge of English Knowledge of German is an asset but not required. What we offer: Work-life balance: Our employees enjoy flexible working hours. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fixed-term contract and fair salary: The basic salary of EUR 5,014,30 (14 times a year) for a period of 4 years. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: With your scientific curriculum vitae that details your education, teaching expertise and list of publications With your letter of motivation With one research paper. With contact details of two researchers willing to provide an academic reference. Via our  job portal/ Apply now - button If you have any questions, please contact: Jean-Robert Tyran job.vcee@univie.ac.at The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 05/26/2026  Post Doc

Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered Contract type: Fixed term contract Fixed Term Period: For 12 Months Salary: Full time starting salary is normally in the range of £37,897 Apply by: 31/05/2026 About the Role This is a one year research-focused position, with the potential for extension, entails advancing the state-of- the-art in Directed Energy Deposition Additive Manufacturing (DEDAM), with a primary emphasis on the development of multi-material systems and high-performance metallic structures. You will spearhead experimental campaigns to evaluate process stability and material integrity, pioneering novel material combinations such as metal-metal composites and metal-composite joining techniques. By collaborating with a multidisciplinary team to push the boundaries of large-scale additive manufacturing, you will integrate process digitalisation with rigorous experimental design. Key responsibilities involve the manufacture of high-quality specimens for characterisation by research partners and the systematic analysis of experimental data to establish fundamental correlations between process parameters, microstructures, and mechanical properties. Ultimately, this work aims to refine DEDAM processes to ensure that fabricated components are meticulously optimised for specific mechanical load scenarios, with a particular interest in candidates capable of implementing advanced monitoring and automation frameworks to enhance system integration and data-driven insights. About You You will hold a PhD (or be close to completion) in in Mechanical Engineering, Materials Science, Manufacturing Engineering, or a related technical field. You must have demonstrable relevant experience and achievements in process development and material characterisation. You will also possess proven knowledge of monitoring and control system development within the metal AM process. In addition, you will have a developing track record of publishing in high-quality journals, along with excellent communication, planning, and organisational skills, and a proven ability for problem-solving. You will also require Baseline Personnel Security Standard (BPSS). About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here. Cranfield’s research and educational excellence is recognised internationally and is brought together in the Faculty of Engineering and Applied Sciences. The faculty hosts the associated core research and education ‘Themes’ which in turn host a number of world-class centres and institutes. The themes define their own research challenges and educational missions, with the Directors of Theme working closely with the Deputy Vice-Chancellor (FEAS). Cranfield Manufacturing Materials and Design community are recognised for the delivery of niche postgraduate research, education, and consultancy. We are unique in our multi-disciplinary approach to innovation and problem solving for industry, bringing together design, materials’ technology, and management expertise to create smart, clean, and green solutions with Net Zero UK 2050 in mind. Our Values and Commitments Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here. We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working here. Working Arrangements Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners. How to apply For an informal discussion about this opportunity, please contact Dr Jian Qin, Lecturer in Digitalisation for Metal Additive Manufacturing, on (E): J.Qin@Cranfield.ac.uk Dr Wojciech Suder, Senior Lecturer in Laser Processing and Additive Manufacturing, on (E): w.j.suder@cranfield.ac.uk Please do not hesitate to contact us for further details on E: hrrecruitment@cranfield.ac.uk. Please quote reference number 5301. Closing date for receipt of applications: 31 May 2026 Please note that we reserve the right to close this advert prior to the stated closing date should we receive sufficient numbers of applications. Therefore, we would encourage you to complete and submit your application as soon as possible.