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Urmia University of Technology

Urmia University of Technology is a notable educational institution situated in Urmia, which is located in the West Azerbaijan province of Iran. This university was established in the year 2007, marking its presence as a relatively recent addition to Iran's higher education landscape. 
The formation of Urmia University of Technology was a significant development, made possible by an independent budget allocated to the university. This budget was secured through the proposal of the Iranian government and subsequent approval by the Islamic parliament. Notably, this financial backing underline the government's commitment to fostering education and research in the fields of information technology (IT), mechanical engineering, and industrial engineering. 
The university's academic and research activities officially commenced in February 2007, and it has since played a crucial role in providing higher education and research opportunities in these critical fields. Urmia University of Technology boasts a dedicated team of academic staff, with approximately 100 faculty members contributing to its educational mission. 
This institution is situated in an urban campus in Urmia, making it accessible to students and researchers in the region. With a focus on technology-related disciplines and a commitment to advancing knowledge and innovation, Urmia University of Technology continues to contribute to the intellectual and technological growth of Iran.

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Hong Kong

Post-doctoral Fellow in the Division of Haematology, Medical Oncology and Haemopoietic Stem Cell Transplantation (HSCT), Department of Medicine, School of Clinical Medicine (Ref.: 533842)

We now invite applications for the captioned post.

Duties and Responsibilities


	Coordinate clinical studies and trials in compliance with protocols
	Manage and analyze large clinical biobank datasets
	Conduct literature review
	Prepare grant proposals and reports
	Supervise junior research staff
	Be exposed to ample opportunities in developing an academic career
	Perform other duties as assigned


Requirements


	Ph.D. degree in Biomedical Sciences, Biostatistics or related disciplines, preferably with at least 1 year's post-qualification experience
	Strong Biomedical Science and quantitative background
	Knowledge in statistics analysis, preferably related to medical field
	Strong data visualization skills
	Expertise in the analysis of large and complex datasets
	Self-motivated, scientifically mature, attentive to details
	Able to work independently and in collaboration with a multidisciplinary team
	An excellent command of written and spoke English and Chinese
	Experience in managing research projects would be highly desirable


What We Offer

The appointment will commence as soon as possible on a temporary basis for one year, with the possibility of renewal subject to satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.

How to Apply

The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from December 26, 2025 and continue until January 8, 2026, or until the post is filled, whichever is earlier.

The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency


The University of Hong Kong

Founded in 1989, Hong Kong Metropolitan University (HKMU) is a modern, vibrant and dynamic university. We tailor our professional programmes to adapt to market trends and meet industry needs, thus providing our students with quality professional education and clear career paths. Being the first University of Applied Sciences (UAS) in Hong Kong, we pledge to play a pioneering role in enhancing recognition of vocational and professional education and training, and nurturing talents with both applied skills and knowledge. 

As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas, including digital humanities and literature, international business, gerontechnology, personalised care, smart city, open and innovative education, and bilingual learning and teaching.

HKMU is becoming an ever more vital link in addressing and helping Hong Kong to solve many difficult challenges – as part of our involvement in, and commitment to, the ‘metropolis’ of Hong Kong. Our plans to expand into the Greater Bay Area (GBA) will also cultivate talent to serve Hong Kong and the wider metropolitan GBA.

For more information about the University, please visit https://www.hkmu.edu.hk.

We are now looking for a suitable person to fill the following position in the School of Science and Technology:

Lecturer (S&T) (Ref: 25002PL) 

Major Duties and Responsibilities 

The appointee will be responsible mainly for the following:

Undertaking the delivery of courses (including classroom/laboratory/field teaching) and STEAM workshops; Marking of assignments, tests and examinations; Providing academic support and performing teaching-related and administrative duties; Engaging in scholarly activities and student development activities; Participating in School / University activities and administration; and Performing any other duties as assigned by the Dean (S&T) or his/her nominee(s).  

Candidates

Candidates should possess the following qualifications, experience and competence:

A master’s degree, preferably a PhD degree in Biology / Chemistry / Environmental Science / Food Science or a related discipline; Relevant teaching or industrial experience; A record of research and peer-reviewed publications, and A good command of English and Chinese (preferably including Putonghua).  

Terms and Conditions for Appointment

An attractive remuneration package, including basic salary, an end-of-contract gratuity, and a discretionary incentive payment, where applicable, will be offered to the right candidates. Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be provided. 

“Accommodation Programme for Overseas Young Teaching Staff” sponsored by the “Katie Shu Sui Pui Charitable Trust”

Overseas candidates who are successfully appointed by the University and below age 50 will be eligible to apply for the “Accommodation Programme for Overseas Young Teaching Staff” sponsored by the “Katie Shu Sui Pui Charitable Trust”. This programme offers the opportunity to reside in assigned accommodation free of charge for a period of up to six months, subject to terms and conditions.

To Apply

Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System.

https://hkmu.taleo.net/careersection/ex_full_time/jobapply.ftl?lang=en&job= 25002PL

Closing date of application:        

The personal data collected will be used for the purpose of considering your application for employment. For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful.


Hong Kong Metropolitan University

China, Ningbo

University of Nottingham Ningbo China is seeking to recruit an Assistant Professor in International Studies in School of International Studies

About the Role

As the School of International Studies enters a sustained period of growth, we are looking for a talented scholar to help strengthen our International Studies Program. This is a position available to start August 2026. 

Candidates should have a completed PhD in International Studies/International Relations/Political Science or a related field by the post start date and demonstrate ability to contribute to the broader interdisciplinarity of International Studies.

Candidates must evidence ability to teach core and specialist courses in International Studies broadly understood, evidence experience or ability in teaching survey courses in International Relations, Comparative Politics, Political Economy. Especially attractive will be someone with a track record in quantitative research methods, data science or (political) philosophy. Experience with, or interest in developing, experiential and career-focused learning pedagogy would be considered a plus. Expected is ability to teach both undergraduate and postgraduate levels and where applicable PhD supervision experience.

We seek candidates with strong research expertise and interests in International studies, European and or Area studies; demonstrable ability to undertake and publish excellent research with record or potential for grant capture. The role will be responsible for generating new intellectual understanding/knowledge through the application of knowledge and for developing ideas for application of research and teaching outcomes.

The successful applicant will take responsibility for identifying new opportunities to contribute to the quality of education and student experience we provide including identifying new opportunities and innovation to continuously improve the ways we teach and how students learn.

Active contribution to the Center for Advanced International Studies, Sino-European Key Lab and university key research priority areas such as Sustainable development will also be expected as is willingness to carry out administrative duties and represent the School within the University depending on needs and as directed by the Head of School.

About Us

Join a unique British University in China. The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award-winning campus offering a UK style education has grown to establish a student body of over 10,000 in just 21 years.

Your Remuneration, Benefits and Support

The successful candidate will be offered a fixed-term contract for up to 5 years, which may be extended by mutual agreement. Salary will be within the range of RMB 450,190 to RMB 592,815 per annum, depending on qualifications and experience (salary progression beyond this is subject to performance) and you will have a range of benefits and entitlements, including accommodation allowance, insurances, schooling support, home flight, relocation & repatriation support, and paid annual leave. You may also be offered a range of Chinese talent schemes application opportunities based on individual eligibility at time of application.

How to Apply

Applicants should submit an application via our on-line application system before Beijing Time 23:59, 4 January 2026 at https://jobs.nottingham.edu.cn/job/184412/. Only on-line applications made at (https://jobs.nottingham.edu.cn/) will be accepted. Referees will be contacted prior to interview and interviews will take place in Ningbo China. 

Informal enquires may be addressed to Dr David Kiwuwa, Head of School of International Studies, email: David.Kiwuwa@nottingham.edu.cn. Please note that applications sent directly to this address will not be accepted. Applications must be submitted on-line. 

Equality and Diversity

University of Nottingham Ningbo China is an equal opportunity employer. We are committed to providing a fair, equitable and mutually supportive learning and working environment for our students and staff. It is our intention to ensure that job applicants and staff are treated solely on the basis of their merits, abilities and potential, regardless of gender, race, color, nationality, ethnic or national origin, age*, socio-economic background, disability, religious or political beliefs, trade union membership, family circumstances, sexual orientation or other irrelevant distinction.


University of Nottingham Ningbo, China

Austria, Vienna Danubepier Hov



At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an 

Senior Scientist in Numerical Astrophysics for Planetary and Stellar Atmospheres

53 Faculty of Earth Sciences, Geography and Astronomy
Startdate: 01.02.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc)
Limited until:  permanent
Reference no.: 4874

The position is part of the Solar System Evolution group led by Ass.-Prof. Kristina Kislyakova. The main research direction of this group consists of unraveling the evolutionary pathways of the Solar System bodies, in particular Earth, Venus, and Mars, and determining the place of the Solar System within the larger family of exoplanets.

Your working place:

The Department of Astrophysics with currently around 90 members is part of the Faculty of Earth Sciences, Geography and Astronomy at the University of Vienna. We are searching for a Senior scientist to contribute to the development of numerical codes used by the Solar System Evolution group and other groups at the department. Our ideal candidate has a scientific background in the evolution of stellar and planetary atmospheres and strong background in computational astrophysics and software development.

The job consists of two equally important parts: 1) to contribute to the research in the area of atmospheric evolution with the focus on atmospheric escape and 2) to take the lead in developing and supporting computational tools for atmospheric studies, such as finding the best solvers that can be used in the codes used by the Solar System Evolution and other groups at the department. 

The position is initially limited to 3 years with possibility to become permanent by mutual agreement. The starting date is as early as February 1st, 2026, but no later than June 1st, 2026.

Your future tasks:

Active participation in research, teaching & administration, which means:


	You build an excellent research profile in the field of planetary and stellar atmospheres, and Solar System research.
	You lead and participate in scientific publications in peer-reviewed journals and presentations at international meetings.
	You take the lead in the application of new computational tools, such as solvers, to the existing codes used by the group such as the hydrodynamic atmospheric codes for planetary and stellar atmospheres and particles codes.
	You contribute software expertise to other computational astrophysical groups.
	You (co-)supervise Bachelor, Master, and Doctoral students in Astronomy.
	You hold courses independently within the scope of the provisions of the collective bargaining agreement.
	You take on administrative tasks in research and teaching as well as evaluation procedures.


This is part of your personality:

You must have:


	A completed doctoral/PhD degree in astronomy/astrophysics
	A proven track record in scientific programming in software development teams with applications to various scientific tasks
	A versatile research profile with works from different areas of astrophysics (e.g., stellar astrophysics, planetary science)
	Research competence and initiative proven through international publications in peer-relevant media
	Excellent abilities to work in a team and excellent communication skills in English


Additionally:


	Previously acquired third-party funding is desirable
	Supervision and teaching experience is an advantage
	Good organisational skills are desirable
	Presentation experience in an international setting is a benefit
	Visible scientific track record (invited talks, panel participation) is a strong asset


What we offer:

Inspiring working atmosphere: You will have the opportunity to work within a dedicated team on forefront science, while profiting from the international environment in the Department of Astrophysics. We have privileged access to the Vienna Scientific Cluster (VSC) super-computing facility. As a member state of ESO and ESA, Austria has access to their first-class observing facilities.

Good public transport connections: Your working place, the University Observatory, is located in the middle of the natural monument Observatory Park in the lively city of Vienna with outstanding public transport.
Work-life balance: Our employees enjoy flexible working hours. Upon agreement, hybrid working hours within Austria might be possible up to a certain extent.
Internal further training & coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.
Fair salary: A basic gross salary of EUR 4,932,90 (on a 40h/week basis; amount as of February 1st, 2025) per month, 14 times a year, increases if we can credit professional experience.
Equal opportunities for everyone: We look forward to diverse personalities in the team!

It is that easy to apply:

Please prepare your application as a single PDF file which includes:


	A motivation letter / letter of intent
	Your CV with a list of publications and presentations
	A statement of research interests (maximum of 3 pages)
	Doctoral/PhD degree
	Contact details of three persons who can provide a letter of recommendation
	Please apply via our job portal / Apply now button


If you have any questions, please contact:

Kristina Kislyakova  
kristina.kislyakova@univie.ac.at

We look forward to new personalities in our team! 

The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, 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: 12/17/2025 


University of Vienna

Vietnam

The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Signal Processing & Machine Learning. Candidates must hold a Ph.D. in this field or a closely related field and have a strong background in research. Relevant international experience is of advantage. The successful candidate will become part of an international network of universities and research institutes.

Teaching Responsibilities

In the role of a lecturer, the successful candidate will teach undergraduate courses in Electrical & Computer Engineering (ECE) program. The expected workload for the in-class lecture conduction is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes).

Teaching should reflect current research methods and results, and comprises lectures on the following modules:


	Analog Signals and Systems (45AH)
	Digital Signals & Systems (45AH)
	Machine Learning (45AH)
	Operating Systems/Computer Architecture (45AH)
	Computer Vision/Image Processing (45AH)
	Software Engineering (45AH)


The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may require conducting relevant laboratory activities and/or advising student projects.

The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring PhD students.

Research Responsibilities

As a faculty member of a research-oriented university, the successful candidate is expected to significantly contribute to the scientific profile of VGU through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in the fields of Signal Processing, Data Analytics and Machine Learning, and Deep Learning/Computer Vision along with knowledge and experience in Artificial Intelligence and Database Management Systems. The ability to apply and generate externally funded research projects is highly desirable.

Administrative responsibilities

The successful candidate is expected to contribute to the development of the ECE program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner universities. She or he is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies.

Qualification

Candidates must hold a Ph.D. in Electronics, Computer Engineering, Communications & Signal Processing, Data Science and Machine Learning, Artificial Intelligence, or a closely related field, preferably from a well-known international university. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology. Other requirements include:


	An outstanding academic record with a focus on Analog and Digital Signal Processing, Machine Learning or other areas closely related to it;
	Knowledge in Software Engineering, Communications Engineering, Artificial Intelligence;
	Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area;
	Proven teaching experience with strong self-motivation combined with a passion for teaching and research;
	Experience in industry is of advantage;
	Proven excellent English proficiency:


Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above.[1]

Employment benefits

The successful candidate will become part of a professional and interdisciplinary group of faculty and have access to state-of-the-art laboratories. VGU supports its lecturers with attractive start-up endowments for quality research projects. VGU also supports participation in national and international conferences and the publishing of research papers.

VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students.

Further information, e.g. regarding the appointment procedure, the competitive salary and research activities can be downloaded here.

Application                                                                                               

To apply please send your application (with the following documents in one PDF max. size: 5 MB) to academicpositions@vgu.edu.vn with subject line "Signal Processing & Machine Learning_[Your Name]"

Your application should include:


	Form for basic information (Please download here, complete this form electronically and submit it together with your application)
	A cover letter stating your interest in joining VGU
	Curriculum Vitae (including list of publications)
	Scans of university degrees, university transcripts and other relevant certificates
	Scans of language certificates (if available, highly appreciated)
	References illustrating your professional and academic career, including contact details of references (if available, highly appreciated)
	Evaluation results for teaching (if available)


All applications will be reviewed and evaluated by VGU's international Application Review Team.

For further information, please contact:


	Program Academic Coordinator, Assoc. Prof. Dr. Thai Truyen Dai Chan, at chan.ttd@vgu.edu.vn


About us

The Vietnamese-German University (VGU) is a Vietnamese state university. Founded in 2008, VGU is a joint venture based on a close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region.

VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures.

As part of VGU's ongoing commitment to gender equity, the university is actively seeking to enhance the representation of women in research and teaching roles. VGU therefore strongly encourages applications from qualified female lecturers who wish to contribute to the academic community.


Urmia University of Technology

About Urmia University of Technology

Rankings

World University Rankings 20261201-1500^th

Engineering 20251001-1250^th

Physical Sciences 2025601-800^th

Discover similar universities

Key Student Statistics

Subjects Taught at Urmia University of Technology

Computer Science

Engineering

Company

Legal

Urmia University of Technology

About Urmia University of Technology

Rankings

Engineering 20251001-1250th

Physical Sciences 2025601-800th

Discover similar universities

Key Student Statistics

Subjects Taught at Urmia University of Technology

Computer Science

Engineering

Engineering 20251001-1250^th

Physical Sciences 2025601-800^th