Universitas Muhammadiyah Malang

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Czech Republic, Brno

Department: Multimodal and Functional Imaging Laboratory – Central European Institute of Technology
Deadline: 20 Jan 2025
Start date: 1st February 2025
Job type: part-time
Job field: Science and research

Central European Institute of Technology of Masaryk University (CEITEC MU)

Brno, Czech Republic | www.ceitec.eu

We are the Czech Republic’s flagship basic research institute based at Masaryk University. Our modern in-house core facilities, which provide open access to the latest technologies and expertise, currently support more than 500 researchers from over 35 countries, who are together pushing the boundaries of knowledge in the areas of structural biology, molecular medicine, genomics and proteomics of plant systems, and neuroscience.

CEITEC MU is a proud holder of the European Commission’s HR Excellence in Research Award. We were the first research institution in the Czech Republic to secure one of the top places in the Company of the Year: Equal Opportunities 2020 competition.

See what onboarding at CEITEC MU looks like here.

About the position:

The researcher will participate in research activities of the project “Mediated society”, reg. no. CZ.02.01.01/00/23_025/0008713, in Programme Johannes Amos Comenius (Czech Republic - The Ministry of Education, Youth and Sports, co-funded by the European Union), focuses on exploring the impact of artificial intelligence on society and sees artificial intelligence as both a tool to expand human capabilities and a challenge related to the widening digital divide, the proliferation of conspiracies and deepfakes, and the lack of AI literacy. Project is focused on understanding of processes related to the process of working with information at the individual, social and societal level through the perspective of selected social sciences and humanities disciplines (psychology, political science, theology, pedagogy) and in close collaboration with computer sciences.

The candidate will participate in the activities of Research Plan 4: Psychometric models as a means of understanding mental processes and states. As a Research Assistant (Ph.D. student), the fellow will participate in the preprocessing and basic analyses of neuroimaging data in CF MAFIL. The researcher will be employed at CEITEC MU.

You have (necessary competencies):

The successful candidate should:


	be a graduate with at least an MSc degree or its equivalent in the field of biomedical engineering or a related technical field
	be a PhD student in the field of neuroscience or biomedical engineering and a related field
	have an orientation to the issue under study,
	be able to collaborate on scientific, research, and development tasks in a research team,
	be able to formulate research results clearly,
	be able to present research results
	have experience in conference presentations (advantage),


We are offering:


	interesting job in a dynamically expanding research area and internationalized environment
	diverse and challenging research goals with generous research funds
	interaction with leading scientists and institutions in the field
	Medical insurance
	6 weeks of paid holiday
	Contribution to a pension scheme
	Flat-rate meal contributions
	A multisport card and sports lessons directly at the Campus
	Reduced prices for mobile operator tariffs
	Psychological counseling


What else do you need to know:

Application deadline: 20.1.2025

Interviews: January 2025

Expected start date: 1st February 2025

Hours: part-time (8 hours/week)/part-time

Duration: fixed term

Applications, including a CV, a brief motivation letter, and contacts for at least two references, should be sent via e-application below.

In the case of any difficulties filling out the e-application, please get in touch with klara.pavelkova@ceitec.muni.cz

Selection procedure committee members are the head of the research group, a research group representative, and an HR department representative.

In justified cases, the job announcer can extend, interrupt, or cancel the selection procedure.

Still hesitating whether to join us?

We value and have supported our employees since their first day at CEITEC. We are an inclusive, equal opportunity employer and offer a highly collaborative, collegial, and family-friendly, international working environment with relocation assistance through our Welcome Office. The selected candidate will become a part of the CEITEC scientific community with access to in-house core facilities and professional administrative support. You will become part of an international team of experts in their fields, who together contribute to improving human life and health. Have a look at what your potential peers say about working at CEITEC MU.

For more information about the recruitment process, refer to CEITEC MU Recruitment Policy. 

For more information about our career system, refer to CEITEC MU Career System


Masaryk University

Hong Kong

Ref.: 530750
Work type: Full-time
Department: School of Public Health (22400)
Categories: Senior Research Staff & Post-doctoral Fellow

Applications are invited for appointment as Research Officer in the School of Public Health (Ref.: 530750), to commence as soon as possible on a one-year temporary term or two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance.

Applicants should possess a Ph.D. degree in epidemiology, biostatistics, public health, or a related discipline, with at least 5 years of relevant work experience. They should have solid research experience in communicable and/or non-communicable diseases, and a track record of high-quality impactful research demonstrated by publications and/or external grants. They must be competent in statistical software packages, including R, for data analysis. They should have an excellent command of written and spoken English and Chinese (including Cantonese and Putonghua). They should be organized, responsible, detail-minded, self-motivated, and able to work independently as well as in a multidisciplinary team.

The appointee will lead a project on the health economic evaluation of cancer prevention strategies. He/She will also be responsible for fieldwork using large language models (LLMs) in real-world healthcare settings. He/She will supervise junior research staff and students; develop his/her own research programme; and write scientific publications, grant proposals and reports. He/she would also be assigned teaching duties for undergraduate and postgraduate students, and perform other duties as assigned. Working off-campus may be required. Information about the School can be obtained at http://sph.hku.hk.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of the basic salary. Housing benefits will be provided as applicable.

The University only accepts online applications for the post. Applicants should apply online and upload an up-to-date CV, and research publication list. Review of applications will commence on January 1, 2025, and continue until February 28, 2025, or until the post is filled, whichever is earlier.


The University of Hong Kong

Ref.: 530885
Work type: Full-time
Department: Department of Sociology (30400)
Categories: Senior Research Staff & Post-doctoral Fellow

Applications are invited for appointment as Post-doctoral Fellow in the Department of Sociology (Ref.: 530885), to commence as soon as possible for one year.

Applicants should possess a Ph.D. degree in the Social Sciences, Social Epidemiology or Public Health, or related disciplines. Experience in conducting demographic research; with good research record on the social determinants of health among older adults, with particular expertise on disability and housing, would be an advantage.  Applicants should have a high level of competency in using statistical software packages with evidence of working collaboratively across organisational boundaries and with other disciplines. They should have good knowledge of data harmonization and statistical analysis and research experience in handling longitudinal data analysis.  Proficiency in written English; excellence in management and statistical skills; ability to work independently. 

The appointees will assist in planning, managing, coordinating, and implementing research activities on the research projects; oversee data collection, data analysis and draft reports, perform any other relevant tasks as assigned, publication and collaborative research opportunities are available. 

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. 

The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date CV, a covering letter stating their research background, provide the name and contact information of three referees on the online application form. Review of applications will start as soon as possible and continue until January 23, 2025, or until the post is filled whichever is earlier.


Australia, Parkville

Position Number: 0064708
Location: Parkville
Role type: Full-time; Fixed term for 6 months

Faculty: Faculty of Architecture, Building, and Planning
Salary: Academic A – $83,468 – $113,262 p.a. plus 17% super


	Contribute to Build Environments Learning + Teaching projects
	Play a vital role in shaping teaching excellence
	Salary packaging, subsidised health and wellbeing services, fitness and cultural clubs, Myki discounts, and a 25% discount on graduate courses to our staff and their immediate families!


About the Role

Established in 2018, Built Environments Learning + Teaching (BEL+T) focuses on advancing education in built environment disciplines through innovative teaching and research. The role offers an exciting opportunity to apply expertise in digital learning design and pedagogy, leveraging digital platforms, tools, and data to support the development of cutting-edge teaching practices.

The position involves contributing to BEL+T projects, including managing updates to the BEL+T site and documenting innovative approaches for broader application across the Faculty. Collaborating closely with the BEL+T team, the successful applicant will play a vital role in shaping teaching excellence through Faculty and University initiatives such as Learning and Teaching Initiative grants. This is a fixed-term academic position with opportunities for impactful contributions to the Faculty’s teaching and research objectives.

Your responsibilities will include:


	Supporting project activities of the BELT+T group, working with the BEL-T group lead
	Contributing to subject and curriculum development projects with a focus on the design of digital resources
	Designing, documenting and producing best-practice standards; applying best-practice usability and accessibility principles for all design outcomes; and engaging in continuous improvement with a focus on teaching quality


Who We Are Looking For

You possess proven expertise in learning and assessment design, digital pedagogies, and educational innovation, with a strong focus on creating student-centred learning experiences and resources. Your proficiency in digital learning tools and practices includes expertise in Canvas LMS, integration with other platforms, and content creation systems like enabling innovative and engaging outcomes.

With experience in blended learning, digital and hybrid pedagogies, and the application of digital tools in higher education, you combine excellent organisational and project management skills to deliver high-quality educational initiatives. Your ability to work both independently and collaboratively ensures effective implementation of complex projects and student success.

You will also have:


	A relevant qualification and/or experience focused on the application of learning design theory in practice
	Experience with the production of digital learning resources that include but are not limited to the use of video and multimedia production techniques
	Excellent visual, written and oral communication skills 


For further information regarding responsibilities and requirements, please refer to the attached PD.

This role requires that the successful candidate must undergo and maintain an up-to-date Working with Children Check. This is essential to guarantee a secure environment for all individuals at the University. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures.

Please note: Visa sponsorship is not available for this position. This role requires current valid work rights for Australia.

Your New Team – Faculty of Architecture, Building, and Planning

The Faculty of Architecture, Building and Planning is the leading educational and research institution in the Asia-Pacific region addressing the design and realisation of inhabited environments. The Faculty actively seeks to extend the linkages between education, research and practice in the built environment, and maintains excellent and extensive relationships with members of the built environment professions, government, professional associations and the wider community.

The Faculty has nearly 200 staff and approximately 3000 students, one third of whom are international. It is responsible for the University’s undergraduate Bachelor of Design degree, and offers majors in architecture, landscape architecture, property, construction, and urban planning. 

What We Offer You!

In addition, we offer the opportunity to be part of a vibrant community and enjoy a range of benefits, including generous leave provisions, salary packaging, health and well-being services and discounts on graduate courses. For more information, check out our benefits page!

About the University of Melbourne

We’re tightly connected with the community, both at home and abroad. We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website and stay connected with our stories and people on LinkedIn. 

Be Yourself

The University of Melbourne values the unique backgrounds, experiences and contributions that each person brings to our community and welcomes and celebrates diversity.  First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities and genders, and people of diverse ethnicity, nationality and faith are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information please visit our Diversity and Inclusion page.

We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require reasonable adjustments, please contact the employee listed on the first page of the Position Description found below, with an email containing your name and contact details for a confidential discussion. Please ensure your email is titled "Reasonable Adjustments Request".

Aboriginal and Torres Strait Islander Applicants

We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.

For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring

Join Us!

If you feel this role is right for you, please apply with the following documents: 


	Resume
	Cover Letter outlining your interest and experience


Please note that you are not required to respond to the selection criteria in the Position Description.

Please ensure that you apply through the Apply Now button at the bottom of this advertisement. However, if you have any questions regarding the recruitment process, please feel free to contact Shabon Nawabi via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.

If you have any particular questions regarding the job please follow the details listed on the Position Description.

Position Description

Applications close: 15 Jan 2025 11:55 PM AUS Eastern Daylight Time


The University of Melbourne

Morocco

CRSA – Postdoctoral in Leveraging AI for enhanced weather and climate prediction in Morocco

About UM6P:
Located in the heart of Benguerir’s future Green City, Mohammed VI Polytechnic University (UM6P) is an internationally oriented higher education institution dedicated to driving development in Morocco and across Africa. UM6P focuses on research and innovation to support education and sustainable development. With state-of-the-art infrastructure, UM6P has built a strong academic and research network and seeks to recruit high-quality professionals to enhance its research- focused environment, based near Marrakech.

About CRSA:
The Center for Remote Sensing Applications (CRSA) is an interdisciplinary research center within UM6P that spans multiple academic programs. CRSA focuses on addressing food and water security challenges in Africa, with a particular emphasis on the use of multi-source remotely sensed data. The center’s research aims to improve the understanding of surface processes and their interactions with climate and human activities, with an emphasis on the sustainable management of natural resources (soil, land, water, and agriculture) in the context of climate change. One of CRSA’s primary objectives is to provide decision- support tools and services to local, national, and international users in water and food systems.

Job Description:
Over the past few years, advances in computational power and the increasing availability of large volumes of remote sensing data with finer spatial and temporal resolutions have significantly transformed the way we approach climate and weather forecasting. These technological advancements have paved the way for innovations, such as the integration of artificial intelligence (AI) into real-time data analysis. This integration can revolutionize the interpretation of remote sensing data, allowing for rapid decision-making in critical situations, such as during natural disasters. AI models can process big datasets efficiently, helping to make informed, unbiased decisions, and ensuring resources are distributed to those most in need. Additionally, when combined with modeling experiments or enhanced research in parameterization, AI is accelerating computational processes, improving prediction accuracy, and enabling the creation of extensive model ensembles at a reduced cost.


In this context, we are looking for a highly motivated postdoctoral researcher to join our team at the CRSA to develop AI models, specifically deep learning approaches, to analyze and predict key climate variables such as precipitation and temperature which are essential for forecasting extreme events. These models will be applied to Morocco’s arid and semi-arid regions, aiming to produce more accurate predictions of droughts and floods. These enhanced climate and weather predictions will contribute to safeguarding food production, ensuring proactive water management strategies, and reducing the health risks associated with extreme weather conditions, particularly in rural areas heavily reliant on agriculture.
 
Key Duties
•    Improve the accuracy of predicting climate variables like precipitation, temperature, and soil moisture by leveraging large multi-source datasets from remote sensing, IoT sensors, and climate models.
•    Design and implement deep learning models for forecasting extreme weather events such as floods, droughts, and heatwaves, integrating probabilistic approaches to account for uncertainties.
•    Use data assimilation techniques to combine observational data with AI models, improving real time forecasting accuracy.
•    Collaborate with hydrologists, climatologists, and data scientists to ensure models are well grounded in scientific understanding.
•    Design and conduct fieldwork to validate model predictions and improve the performance of deep learning approaches.
•    Publish research findings in high-impact scientific journals and present the results at international conferences.
•    Contribute to the supervision of Master’s and Ph.D students.
Qualifications
•    Ph.D. in Artificial Intelligence, Data Science, Climate Science, Geoinformatics, Applied and Computational Mathematics, or related fields.
•    Proven experience in developing deep learning models (e.g., CNNs, RNNs, LSTMs) for large-scale environmental data analysis.
•    Familiarity with theoretical and practical aspects of scientific deep learning;
•    Proficiency in programming languages such as Python and R.
•    Strong experience working with climate and remote sensing datasets for environmental applications.
•    Experience with high-performance computing and analysis of large datasets;
•    A good track record of published research in peer-reviewed scientific journals.
•    Ability to work in an interdisciplinary team and communicate scientific results effectively.
 


Universitas Muhammadiyah Malang

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