Cyprus International University

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Czech Republic, Brno

Department: Department of Visual Computing – Faculty of Informatics
Deadline: 31 Jan 2025
Start date: March 2025, by mutual agreement
Job type: full-time
Job field: Science and research | Education and schooling

Dean of the Faculty of Informatics, Masaryk University announces an open competition for the position:

Associate Professor in Biomedical Image Processing

Number of open positions: 1
Application deadline: 31st January 2025
Working Hours: full-time (40 hours per week)
Expected start: March 2025, by mutual agreement
Employment: 3-year initial contract (with possible extension - tenure track)
Workplace: Faculty of Informatics – Department of Visual Computing, Masaryk University, Botanická 68a, Brno
EU Researcher Profile: Researcher 3
Salary: CZK 75 000 - 92 600/month, salary will be negotiated

Job description key points

The position is focused on both research and teaching. The candidates are expected to carry out research of excellent quality in biomedical image processing and take responsibility for selected courses included in the specialization Image Processing and Analysis within the Visual Informatics study program: https://www.fi.muni.cz/catalogue-current/?program=nmgr_viz_cz&lang=en. In particular, the candidates should be able to prepare and deliver lectures and tutorials at the bachelor as well as master level in the following areas:


	Digital image processing;
	Digital geometry;
	Machine learning.


The candidates should show a large amount of flexibility in teaching subjects that are not directly related to their particular areas of research. They are expected to help with supervising undergraduate as well as graduate students and attract research projects to fund their research activities.

The successful candidate must have


	PhD in Computer Science or a related discipline;
	Passion for problem solving and desire for working with students;
	Existing track record in both education and research in the areas listed above;
	Dynamic, flexible personality, able to work well in teams;
	Fluency in English (both spoken and written); other language(s) welcome;
	Experience from other countries than Czech and Slovak republics (at least half a year).


Desired skills and achievements:


	PhD work related to biomedical image processing, machine learning, or computer vision;
	Experience with research projects.


Applicants should submit:


	CV, including a summary of work experience, publication activity, teaching, involvement in research grants, etc.;
	copy of diploma from the highest level of education (notarial certification not required);
	Cover letter explaining candidate's motivation and interest in obtaining the position;
	Title and abstract of a lecture that can be presented as a part of the application process;
	The names and contact details of three professional and language referees.


We offer


	an interesting job in a prestigious university environment with international overlap and cooperation with the application sphere;
	career development and growth (e.g. university seminar series, courses provided by MU, participation in conferences, staff mobility training, participation in research projects, support of project department);
	relocation support and help from the Welcome Office MU;
	employee benefits such as 8 weeks of paid vacation per year, pension insurance contribution, Multisport card, vaccination allowance, childcare group at MU building (Komenského nám., Brno);
	workplace close to the centre of Brno with parking directly on the faculty premises.


Please submit your application, including all required documents, preferably online via the MU e-application (Please use the link in the e-application section below). In case this way of submission would not be possible, we also accept a paper application with a declaration of the reason for such a submission.

The selection process is based on the Open Transparent Merit-based Recruitment Policy. Faculty of Informatics holds the HR Excellence in Research Award. The rules of the selection processes at the Faculty of Informatics MU can be found at Selection procedure | FI MU (muni.cz).

Once submitting your application successfully, you will receive an automatic confirmation email. Candidates successful in the first round of the selection process will be invited for an in-person interview or a video-conference interview. Candidates who succeed in the second round will be invited to present a public lecture.

Queries regarding the submission procedure can be sent to HR Department: pers@fi.muni.cz.

Queries regarding the position as such can be addressed to Assoc. Prof. Petr Matula, Head of Department of Visual Computing, pem@fi.muni.cz.

Further information is available:


	Faculty of Informatics at https://www.fi.muni.cz/index.html.en
	Brno at https://www.gotobrno.cz/en/



Masaryk University

New Zealand, Auckland

Company Description

Waipapa Taumata Rau | The University of Auckland

At Te Kura Mātai Kori Tinana | Department of Exercise Sciences we seek to understand the role of exercise in sustaining health, improving disease outcomes, and enhancing human performance through physical activity and sport.

Our teaching and research integrates exercise physiology, exercise psychology, movement neuroscience, biomechanics, exercise prescription and physiotherapy to investigate the role of exercise and physical activity in sustaining health, improving disease outcomes through rehabilitation and enhancing human performance.

Our mission and values place a strong emphasis on both our student body and our scholarly community, and we work with both community and enterprise to advance the well-being of the peoples of Auckland and New Zealand, with a clear commitment to pursuing sustainability.

Job Description

Te Whiwhinga mahi | The opportunity 

This role offers a passionate academic with a strong background in musculoskeletal physiotherapy an exciting opportunity to develop and deliver innovative research and teaching primarily to students on our established Master of Physiotherapy Practice programme. 

The position is available from Lecturer to Associate Professor, depending upon career stage of the successful candidate. The academic will ensure that our students will have a positive learning experience that is informed by up-to-date research and supported by creative learning technologies. This might include programme leadership, course coordination, clinical placements, student mentoring and supervision of postgraduate research students.

Commensurate with level of appointment, applicants will possess an outstanding research record in physiotherapy as demonstrated through publications in top-ranked journals and success in attracting research funding. The successful candidate will be expected to establish an innovative and competitive programme in the area of musculoskeletal research, establish new research collaborations within the university and with external stakeholders, and attract external research income. 

For more information on the role, please view the position description in the Candidate Booklet for Lecturer, Senior Lecturer, and Associate Professor. 

Essential Knowledge, Skills and Experience:


	A PhD in a relevant discipline (Human Movement and Sports Science or equivalent).
	An undergraduate or postgraduate degree in Physiotherapy.
	Eligibility to practise as a Physiotherapist in New Zealand or Australia.
	Evidence of curricula design at under- and postgraduate levels.
	Experience in teaching and supervision in the fields of Physiotherapy and/or Human Movement and Sports Sciences. 
	Demonstrated history or research excellence with peer-reviewed publications and securing research funding.
	Demonstrated potential to build sustainable relationships with industry partners and experience in the ability to promote partnerships and research links with outside organisations/agencies.
	The academic appointment will be made according to the successful candidate’s research profile and academic experience from Lecturer to Associate Professor. Please indicate the level of appointment that you are applying for.


This is a permanent, full-time 1 FTE (40 hours per week) role.

Remuneration for each position is listed below and will be experience dependant: 

Lecturer $97,831 to $116,867
Senior Lecturer $124,375 to $155,788
Associate Professor Base salary $162,557

Mō tō mātou rōpū | About the team

We are New Zealand’s leading academic programme in Exercise Sciences. Our teaching and research seek to understand how physical activity changes the human body when it is growing, performing incredible physical feats, ageing or at risk of disease. The Department of Exercise Sciences brings together physiotherapy, exercise physiology, biomechanics, movement neuroscience, and exercise and sport psychology to investigate the role of exercise and physical activity in sustaining health, improving disease outcomes, and enhancing human performance.

He kōrero mōu | About you

You will be committed to quality and effectiveness in teaching; with the ability to be proactive and take initiative. You will have excellent oral and written communication skills and have excellent judgement and decision-making skills.

Ngā āhuatanga kei a mātou | What we offer

The University of Auckland is New Zealand’s leading university and maintains significant computational, laboratory and analytic facilities. Auckland itself is frequently rated as one of the world’s most liveable cities. 

The University is committed to providing an excellent working environment through:


	Flexible employment practices (including working from home, flexible hours)
	Up to 6.75% company superannuation scheme
	A competitive salary with five weeks’ annual leave


In addition, we also offer career development programmes, discounted car parking, a generous parental leave allowance, childcare, and a number of other discounts on internal and external services. 

For more information, please visit Staff Benefits.

Hear more about making Worlds of Difference in your career at the University, our partnership with Māori, our Te Ao Māori principles, our impact, our staff and life in Auckland on our careers website

Me pēhea te tuku tono | How to apply

Applications must be submitted online, by the closing date of 10th February 2025 (further details in the Candidate Booklet) to be considered. Please include your cover letter and your CV highlighting how you can meet the skills and experiences detailed above. 

Please reach out to Professor Michael Kingsley via michael.kingsley@auckland.ac.nz for a confidential conversation. Please note we are happy to answer your questions, but we do not accept applications by email.

For further support on applying and how to write your cover letter or create a CV please see the staff intranet site detailing how to apply for internal roles.  

Additional Information

Equity

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment.  For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz

The University is committed to providing a safe, inclusive, and equitable environment where everyone can thrive. For further information see Te Ara Tautika | the Equity Policy and visit www.equity.auckland.ac.nz


The University of Auckland

Finland

Finnish Center for Artificial Intelligence FCAI and ELLIS Unit Helsinki invite applications for research positions in machine learning. You will join one of the top AI research centers in the Nordics and in Europe, with access to an excellent network of scientists and a broad range of possibilities to work with companies.

We are looking for new PhD students to FCAI and ELLIS Unit Helsinki. Your research can be theoretical, applied, or both. The positions are in the following areas of research:


	Reinforcement learning
	Probabilistic methods
	Simulation-based inference
	Privacy-preserving machine learning
	Collaborative AI and human modeling
	Machine learning for science


You will join a community of machine learning researchers and will be part of a broader team of researchers studying similar topics, mentored by a group of several experienced professors.

Please see this website for the full details about the positions and job details. The text below contains only an excerpt of the full call text.

What we are looking for:

You have previous experience in machine learning, statistics, artificial intelligence or a related field, preferably demonstrated by success in related studies and ideally also some publication record. Other merits demonstrating suitability for a researcher position can also be considered.

You hold (or expect to shortly receive) a Master’s degree in computer science, statistics, electrical engineering, mathematics or a related field.

Working environment:

The positions are based either at Aalto University or at the University of Helsinki, depending on the primary supervisor. All positions are fully funded, and the salaries are based on the Finnish universities’ pay scale. The contract includes occupational healthcare.

Following the standard practice, the PhD student position contract will be made initially for two years, then extended to another two years after a successful mid-term progress review.

We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

Required attachments:


	Cover letter (1–2 pages). Please specify the FCAI Teams and supervisors with whom you want to work.
	CV
	List of publications (if applicable)
	A transcript of MSc and BSc studies and the degree certificate of your latest degree. If you don’t yet have a Master's degree, a plan of completion must be submitted.
	In the application form, you are also asked to specify contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.


All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Ready to apply?

Please submit your application by February 2, 2025 (23:55 Finnish time) through the Workday recruitment system, link below.

Note: If you are already an employee in Aalto University, please apply for the position via Aalto’s internal Workday system (Career) using your existing Workday user account. If you are a student or visitor at Aalto, please apply using your personal email address (not aalto.fi) via the external Open Positions page.

Further information:

Please see the call website for more information about the positions, working environment, job details, and FAQ. If you have questions that are not answered on the website, please contact hr-cs at aalto.fi on questions about the recruitment system (Workday) or kaisa.pekkala at aalto.fi on any other questions.

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


Aalto University

United Arab Emirates, Abu Dhabi

Description

The Center for Interacting Urban Networks, New York University Abu Dhabi, seeks to recruit a Postdoctoral Researcher to support a project studying the Center’s research theme, Uncertainty.

If you have experience and wish to explore how to build systems (both foundational or applied) that can handle uncertain or incomplete data prevalent in urban decision-making scenarios, please apply. A PhD dissertation or research papers that demonstrate a strong interest and research focus in any of risk analysis or minimization, robust optimization, deep learning for systems, probabilistic data management, or decision-making in uncertain environments are a prerequisite. Successful candidates will also demonstrate a capacity to lead independent research with advice and an ability to drive foundational computational research work from applications and vice versa.

The position will also require the ability to collaborate with other researchers on other center themes, such as Mobility and Fairness, and contribute to a comprehensive understanding of urban systems.

For consideration, applicants must submit a cover letter, curriculum vitae, a statement of research interests, and the contact information for referees, who may be contacted through the selection process. The research statement should outline specific project(s) that the candidate would like to lead within CITIES along with potential collaborators with the Center. If you have any questions, please email us at nyuad.cities@nyu.edu

Evaluations will start immediately until the role is filled. The earliest start date for this position is December 1st, 2024.

About The Center for Interacting Urban Networks (CITIES):

The NYUAD’s Center for Interacting Urban Networks (CITIES – مدن ) is an interdisciplinary research center dedicated to advance urban science and promote cutting-edge research that is translated into practical, real-world solutions for the benefit of society. Our mission is to establish a vibrant and globally recognized knowledge hub for urban networks, bridge the gap between scientific significance and practical value, and further develop the human capital to propel the city of Abu Dhabi and the UAE into a more prosperous and sustainable future. CITIES leverages the expertise of faculty members from the four Divisions of NYUAD and world-renowned scientific collaborators from multiple institutions within and beyond the NYU Global Network, as well as local stakeholders and private companies across the UAE and abroad.

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/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


New York University Abu Dhabi Corporation

United Kingdom, Southampton

About Southampton Sport:

Southampton Sport is dedicated to enhancing the student experience at the University of Southampton by promoting a healthy, happy, and successful community. Our mission is to deliver an outstanding sporting experience alongside top-tier education, supporting both our students and the wider university community.

We are now seeking a dynamic and proactive Marketing and Sales Coordinator to join our team and play a pivotal role in developing and executing a comprehensive marketing and sales plan across all aspects of Southampton Sport.

Role Overview:

As the Marketing and Sales Coordinator, you will be responsible for creating and implementing a strategic marketing and sales plan that spans the full range of services offered by Southampton Sport. This includes targeting key audiences such as students, staff, alumni, and the community. You will work closely with various departments within Southampton Sport, including fitness, watersports, and customer excellence team. In addition, you will collaborate with the University’s student communications team, the Students’ Union, and external stakeholders.

Your responsibilities will include taking ownership of key campaigns, coordinating activities such as outreach and in-reach events, open days, and other promotional events. You will promote Southampton Sport across various channels, including social media, advertising, publications, and our website. Additionally, you will conduct detailed analysis of specialised data to identify areas for growth and improvement within the business.

Key Responsibilities:


	Develop and execute a comprehensive marketing and sales strategy for Southampton Sport across all target audiences, including students, staff, alumni, and the general community.
	Collaborate with internal departments and external partners to deliver a unified marketing approach.
	Take ownership of campaigns, including planning and coordinating events such as outreach initiatives, open days, and promotional activities.
	Promote Southampton Sport via social media platforms, advertising, publications, and the website.
	Analyse specialised data to highlight key areas for growth, providing insights and recommendations for business improvement.
	Build and maintain strong relationships with academic stakeholders, internal teams, and external partners to ensure the successful delivery of marketing plans.
	You will be responsible for managing and monitoring our internal systems to ensure their efficient operation and seamless functionality


About You:

We are looking for an experienced professional with a strong background in planning and implementing marketing operations across multiple departments. Your ability to analyse data and translate insights into creative, actionable marketing strategies will be key to your success in this role. You should be adept at building relationships and working collaboratively with both academic stakeholders and a range of internal and external teams.

Essential Skills and Experience:


	Proven experience in developing and executing marketing and sales plans.
	Strong ability to analyse data and develop insights to guide marketing strategy.
	Experience in coordinating marketing activities across various departments and audiences.
	Excellent communication and relationship-building skills.
	Ability to work independently and proactively, managing multiple campaigns and projects simultaneously.


If you are passionate about making an impact and enhancing the sporting experience within an academic setting, we encourage you to apply for this exciting opportunity. Join us in shaping the future of Southampton Sport and helping us create an active for all community.


Cyprus International University

About

Rankings

World University Rankings 2025601-800^th

Impact Rankings

Impact Rankings 2024401-600^th

Good Health and Wellbeing 2024401-600^th

Affordable and Clean Energy 202445^th

Sustainable Cities and Communities 2024201-300^th

Responsible Consumption and Production 2024101-200^th

Partnership for the Goals 2024301-400^th

Discover similar universities

Key Student Statistics

Company

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Cyprus International University

About

Rankings

Impact Rankings

Impact Rankings 2024401-600th

Good Health and Wellbeing 2024401-600th

Affordable and Clean Energy 202445th

Sustainable Cities and Communities 2024201-300th

Responsible Consumption and Production 2024101-200th

Partnership for the Goals 2024301-400th

Discover similar universities

Key Student Statistics

Impact Rankings 2024401-600^th

Good Health and Wellbeing 2024401-600^th

Affordable and Clean Energy 202445^th

Sustainable Cities and Communities 2024201-300^th

Responsible Consumption and Production 2024101-200^th

Partnership for the Goals 2024301-400^th