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El Colegio de la Frontera Sur

Lerma Campeche, Mexico
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Research Assistant Professor / Post-doctoral Fellow, Social Work and Social Administration

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 536128 Work type: Full-time Department: Department of Social Work and Social Administration (30300) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Research Assistant Professor in the Department of Social Work and Social Administration (Ref:.536128), to commence as soon as possible, on a one-year temporary basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD in Mental Health, Psychology, Clinical Psychology, Social Work or other related disciplines. They should have (i) a track record of publications; (ii) excellent written and oral communication skills in both English and Chinese, including Cantonese; (iii) strong problem-solving, organisational and administrative abilities; and (iv) attend to detail, with the ability to work independently as well as collaboratively within a multidisciplinary team. Prior experience in postdoctoral research, project management, coordinating and delivering and professional training within the field of mental health-related research would be an advantage. The appointee will work in the HKJC-funded project mental health project. The position offers an excellent opportunity for academic publications, building research partnerships with international researchers and local mental health service providers, and learning the implementation of amental health research project. Those with less experience in publications and project management may be considered for the post of Postdoctoral Fellow. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. For more information, please contact Professor Terry Lum at tlum@hku.hk. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date CV with supporting documents, a cover letter stating their background, and three references for the post applied.  Review of applications will start as soon as possible and continue until June 30, 2026, or until the post is filled, whichever is earlier. Advertised: Apr 27, 2026 (HK Time) Applications close: Jun 30, 2026 (HK Time)

Salary

Competitive

Posted

1 May 2026

Research Fellow in Metal Additive Manufacturing

CRANFIELD UNIVERSITY

Cranfield University

United Kingdom, Bedford

institution

Cranfield University

United Kingdom, Bedford


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.

Salary

Full time starting salary is normally in the range of £37,897

Posted

1 May 2026

Associate Professor / Professor – Advanced Computer Science

ILLINOIS INSTITUTE OF TECHNOLOGY

Illinois Institute of Technology

India, Air Parcel Sorting Office/Mumbai

institution

Illinois Institute of Technology

India, Air Parcel Sorting Office/Mumbai


Associate Professor / Professor – Advanced Computer Science (Teaching Track) Illinois Institute of Technology – Mumbai Campus About the University Illinois Institute of Technology (Illinois Tech) is a private, Ph.D.-granting research university based in Chicago, USA, 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 is seeking experienced teaching-track faculty at the Associate Professor and Professor levels in Computer Science and Artificial Intelligence. 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 Computer Science, Artificial Intelligence, and Data Science, while contributing to curriculum development and the growth of Illinois Tech’s academic programs in Mumbai.Candidates should demonstrate a strong commitment to teaching excellence, student engagement, and academic leadership. Senior faculty members will also play a key role in mentoring junior faculty, contributing to program development, and strengthening the academic environment of the new campus. Courses will be delivered in person in Mumbai, India. Online teaching is not an option. Key Responsibilities Teach undergraduate and graduate courses in Computer Science, Artificial Intelligence, and Data Science Develop and update course materials to maintain high academic standards Contribute to curriculum design and program development Mentor and advise undergraduate and graduate students Participate in departmental, college, and campus service activities Provide academic leadership and mentorship within the teaching faculty Support the continued development and growth of the Illinois Tech Mumbai academic programs Special consideration will be given to candidates with teaching or research interests in: Algorithms Science of Programming Computer Vision Machine Learning 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 communication and interpersonal skills Ability to teach core and advanced computer science courses For Associate Professor and Professor-level candidates, the following are strongly preferred: Significant experience teaching undergraduate and graduate courses Evidence of curriculum development or academic leadership Experience mentoring students and junior faculty A strong record of scholarly or professional contributions in computer science Application Requirements Applicants should submit the following materials: Cover Letter Curriculum Vitae (CV) Teaching Statement describing teaching experience, teaching philosophy, and teaching interests Documents mentioning names and contact information for at least three professional references If you are unable to upload the documents , please share your application pack at careers@daskalos.com

Salary

Competitive

Posted

1 May 2026

Deputy Head (Learning and Teaching), School of Education and Professional Studies

GRIFFITH UNIVERSITY

Griffith University

Australia, Mount Nathan

institution

Griffith University

Australia, Mount Nathan


Brisbane South (Nathan) or Gold Coast, Queensland Australia Full-time Every institution values excellence. What matters most is why.  Griffith was created to be a different type of university. You’ll find we’re about leading research, academic excellence, and the transformative power of education. But what sets us apart is why those things matter and how you’ll achieve them. Why? Griffith brings together exceptional minds like yours from across the globe and from all walks of life. Here, we do incredible work, questioning and challenging, always in the pursuit of excellence.  Griffith’s Arts, Education and Law Group is the largest and most diverse academic group in the University, encompassing creative and performing arts, law, education, criminology, social science and humanities, and has presence across all six campuses. Focusing on developing programs to prepare students for a changing world, it is also an environment where research can flourish, and our academic community can undertake outstanding scholarship research that makes a major contribution to society. The School of Education and Professional Studies is ranked in the top 150 of similar schools worldwide and our graduates have employment success such that one in five teachers working in Queensland graduated from Griffith University. The School is also home to the Autism Centre of Excellence and additionally and the Griffith Institute for Educational Research both provide research leadership to professions facing complex educational challenges. Job Description We are seeking an outstanding academic leader to join our School in the role of Deputy Head of School (Learning & Teaching). This is a key senior leadership position offering the opportunity to shape and embed high‑quality, evidence‑based learning and teaching that is engaging, contemporary and responsive to student and industry needs. The Deputy Head of School (Learning & Teaching) provides visionary, strategic leadership across the School’s learning and teaching portfolio. Working closely with the Head of School, the School Executive, the Dean (Learning & Teaching) and colleagues across the University, you will play a pivotal role in driving educational excellence and continuous improvement. You will lead the implementation of learning and teaching strategies that align with University and Group priorities, support accreditation and quality assurance requirements, and contribute directly to achieving institutional learning and teaching KPIs. In this role, you will: Provide strategic leadership for learning and teaching within the School, ensuring alignment with University priorities and sector best practice Embed evidence based approaches to teaching, learning and assessment that enhance student success, retention and satisfaction Lead and support Program Directors, providing guidance and oversight of learning and teaching responsibilities Build academic staff capability through mentoring, professional development and the promotion of innovative teaching practice Foster and support scholarship of learning and teaching, including dissemination and recognition of best practice Ensure learning and teaching approaches are flexible, inclusive and industry responsive, preparing graduates for evolving professional contexts Collaborate effectively across the University to support accreditation, course review, quality assurance and continuous improvement processes About you The successful candidate will have a PhD in a relevant discipline. You will demonstrate: A strong academic profile with demonstrated leadership in learning and teaching at program or school level Deep understanding of contemporary higher education pedagogy, assessment design and quality assurance frameworks A proven ability to lead, inspire and support academic staff in diverse disciplinary contexts Experience supervising or supporting Program Directors or equivalent academic leadership roles A collaborative leadership style with the ability to influence, build relationships and drive change What we can offer The initial term will be for a period of three years with the possibility of renewal. This is a full-time position primarily based at Griffith University Gold Coast or Brisbane South (Nathan). As Griffith is a multi-site University you may be required to work across other locations. Griffith University’s campuses are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples. The successful candidate will also be offered an underlying continuing appointment at Level D. The full-time equivalent base salary for an Associate Professor (Level D) is in the range $172,686 - $190,248 per annum + 17% superannuation. The total FTE package will be in the range $202,043 - $222,590 per annum. Additional information Why Griffith? As a values-led organisation, at Griffith University, we've worked hard to create a dynamic and strong organisational culture. We offer: Mix of on campus and work from home options available and a supportive work environment Salary packaging options and corporate health discounts Generous leave entitlements including paid parental leave and leave loading Health Safety and Wellbeing initiatives – on campus Gym facilities How to apply At Griffith, we’re committed to providing a safe and inclusive environment for all - whoever you are and wherever you’re from. If you require any accommodations, we welcome you to let us know so we can work with you to participate fully in our recruitment experience. Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. For more information please visit our Equity, Diversity and Inclusion page. Our University is committed to fostering a safe, respectful and inclusive community for all. In alignment with the National Higher Education Code to Prevent and Respond to Gender-based Violence (2025), Griffith University includes a declaration as part of the recruitment journey to uphold the values and standards of our community. Griffith University also maintains a strict zero-tolerance policy against all forms of modern slavery. For more information, please refer to Griffith’s Modern Slavery Policy. Please submit your application online and ensure it includes the following: A covering letter outlining your suitability for the role (please refer to the About you section above and the position description) Current curriculum vitae/resume including full contact details Names and contact details of at least three professional referees (no contact will be made without your permission) Applicants must have unrestricted working rights. Visa sponsorship is not available for this position. Successful candidates may be subject to a criminal history check. For further information specifically about this role, please contact Professor Debbie Heck, Head, School of Education and Professional Studies at d.heck@griffith.edu.au For application and recruitment advice, please contact Theresa Burke, Talent Acquisition Partner at t.burke@griffith.edu.au Closing date: Monday, 8 June 2026 at 11:59pm AEST. All applications must be submitted online. Please allow at least 1 – 2 weeks from the closing date to expect an application update.

Salary

$172,686 - $222,590 per annum

Posted

1 May 2026

Associate Professor / Professor – Artificial Intelligence/ Machine Learning, Computer Science

ILLINOIS INSTITUTE OF TECHNOLOGY

Illinois Institute of Technology

India, Air Parcel Sorting Office/Mumbai

institution

Illinois Institute of Technology

India, Air Parcel Sorting Office/Mumbai


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

Salary

Competitive

Posted

1 May 2026

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