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Kaduna State University

Kaduna State University was founded in 2004 in Kaduna State, north-western Nigeria. It offers a wide range of undergraduate and postgraduate courses in arts, sciences, social sciences, health sciences and engineering. 
The university holds events like Students’ Week and Cultural Day to celebrate this diversity. 
The campus includes libraries, labs, digital learning tools and health services. There are sports facilities for football, volleyball, basketball and athletics, along with affordable dining, reliable transport and 24-hour security.
Technology is part of the teaching, with good access to online resources. The university works with local and international partners to support academic exchange and professional growth. 

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Morocco

About Mohammed VI Polytechnic University (UM6P):

Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, was established to serve Morocco and the African continent and to advance applied research and innovation. This unique university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem.

About the department

Vanguard works on the development of innovative and interdisciplinary applied research projects. From technological innovation to the transfer of research to industry, Vanguard has also the mission of developing an ecosystem of related start-ups. For more information about our Center, please visit our webpage: https://vanguard.um6p.ma/

Offer description:

There are many systems of interest to scientists that are composed of individual parts or components linked together in some way. Examples include the Internet, a collection of computers linked by data connections, human societies, which are collections of people linked by acquaintance or social interaction, transportation systems and biological interactions. These systems are represented as networks.


	A network is a set of objects that are connected to each other in some fashion. Mathematically, a network is represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the edges represent relationships between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph.
	However, adjacency matrices only model networks with one kind of objects or relations between the objects. Many real world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation. The train and bus routes are different types of connections and should in some models be represented by different kinds of edges. These kind of situations can be modeled using multilayer networks which emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well.
	In order to capture the structure and complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be represented by a 4th order tensor A 2RN_L_N_L  where L is the number of the layers (transportation means) and N is the number of nodes (stations or stops). Using convenient tensor products, the goal is to define measures to analyze different multidimensional networks based on their adjacency tensors.
	However, collecting all the interactions in the systems and sometimes even observing all the components is a challenging task. In most cases, only a sample of a network is observed. Therefore, network completion needs to be addressed. Matrix completion methods have proved to be efficient when reconstructing a non fully observed data. These methods can be applied to complete or predict links in a network. However, missing information in a network can include both missing edges and nodes which makes classical matrix completion method insufficient. However,we may collect other information and features about the elements of the network. Therefore, side information about the nodes along with the observed edges need to be exploited.
	The problem of network completion arrises also for applications where the network has a multidimensional representation such as multiplexes and multilayer networks. Since multidimensional networks can be represented by tensors, one can think of applying tensor completion methods which have proved to be efficient in many applications such as image and video reconstruction. However, the same issue arises, tensor completion methods can not be directly applied to recover the links of the network giving the fact that the data is sparse most of the time. We aim to use auxiliary information about the multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover missing links in a multilayer network with connected components.
	An important constraint in network completion is that the factorization must only capture the non zero entries of the tensor. The remaining entries are treated as missing values, not actual zeros as is often the case in sparse tensor and matrix operations. Therefore, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing multidimensional networks by studying the theoretical foundations behind randomized algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring opportunities for  parallelism of the completion process, highlighting the potential for significant speedup in computations.


Job responsibilities


	Research and Development: Conduct research to develop novel algorithms and methodologies for tensor completion in multidimensional networks. This includes exploring optimization techniques, tensor decompositions, and incorporating auxiliary information for more accurate completion.
	Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing efficient and scalable algorithms that can handle large-scale datasets.
	Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different measures and metrics for characterizing network connectivity and relationships.
	Sparse Optimization: Address the challenge of sparse optimization for tensors by integrating randomized algorithms into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets.
	Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations.
	Collaboration: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social sciences. This involves effective communication and coordination to ensure the successful integration of mathematical methods into practical systems.
	Publication and Dissemination: Publish research findings in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course of the project.
	Mentorship and Training: Provide mentorship and guidance to graduate students and junior researchers involved in related projects. Share expertise and knowledge in applied mathematics, tensor analysis, and network science to foster the professional development of team members.


Qualifications and experience essential

PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired.


Mohammed VI Polytechnic University

United Kingdom, Durham

We are seeking a highly motivated individual- either a Grade 7 PhD holder, or a Grade 6 graduate - to join the EYESAVE project, funded by the Vivensa Foundation Trust, as a Patient and Public Involvement and Engagement (PPIE) Lead. The project addresses the growing demands on glaucoma care by developing an AI-enabled triage platform that integrates retinal imaging, clinical data, and machine learning to support early detection and prioritisation of patients at risk of vision loss. The role involves leading PPIE activities to ensure that patient perspectives and lived experiences shape the design, development, and evaluation of the technology throughout the project.

Working in collaboration with clinicians, AI researchers, and vision scientists at Newcastle University, Sunderland Eye Hospital and Newcastle RVI, this position offers the opportunity to deliver meaningful impact by embedding co-production and patient voice into cutting-edge research. This is an exciting opportunity for someone with experience in public engagement, health research involvement, or community partnership working to contribute to a high-impact project with strong potential for clinical adoption and real-world benefit.

This post is fixed term for 12 months (full-time) or 24 months (part-time) as the project is time and funding-limited.

The post-holder is employed to work on research/a research project which will be led by another colleague. Whilst this means that the post-holder will not be carrying out independent research in his/her own right, the expectation is that they will contribute to the advancement of the project, through the development of their own research ideas/adaptation and development of research protocols.

Successful applicants will, ideally, be in post by 1st February 2026.

Contact Information

Department contact for academic-related enquiries

For a chat about the role or any further information, please contact Dr Rahele Kafieh ( ) or Professor Anya Hurlbert ( ).


Durham University

Australia, Bedford Park

Position Details


	Continuing | Part-Time 0.8 FTE
	Academic Level C | $138,124 - $158,885 p.a. pro rata
	Location: Bedford Park / Kaurna Country
	View Position Description


About the Role

The Senior Lecturer Teaching Specialist (Clinical Practitioner) will be responsible for delivering engaging, high-quality teaching in Nursing across all levels and modes of the College, drawing on contemporary, student-centred learning approaches.

The incumbent will coordinate and contribute to the planning, delivery and evaluation of Nursing topics, stepping into Topic Coordinator and Course Coordinator responsibilities as needed – primarily supporting the Master of Nurse Practitioner course. A key focus of the position is leading curriculum review, renewal and design to ensure our courses remain innovative, industry-aligned and appealing to current and future student cohorts.

The Senior Lecturer will foster creativity and critical thinking through well-designed learning experiences, while providing personalised academic support, professional guidance and career advice to students. The role also involves integrating new technologies and teaching innovations to enhance learning outcomes. As an educational leader, the incumbent will champion best practice and promote the adoption of modern pedagogical principles across the College, contributing to a thriving and forward-thinking learning community.

About You

As an Endorsed Nurse Practitioner, you will have substantial and current clinical practice experience, supported by active registration with the Australian Health Practitioner Regulation Agency (AHPRA). You will hold a doctorate in a relevant discipline or bring equivalent professional expertise and recognised standing within the Nursing profession.

Your background will include contemporary clinical experience that you can continue to maintain alongside this role. You will demonstrate a strong understanding of pedagogical theory and modern educational practices relevant to Nursing, with a proven record of excellence in tertiary teaching across classroom, simulation and/or clinical environments.

You will also bring extensive experience in the development, delivery and evaluation of innovative learning and teaching strategies, ensuring students are engaged, challenged and well prepared for professional practice. Your clinical credibility, educational expertise and commitment to high-quality learning experiences will enable you to make a significant contribution to the College’s teaching and learning community.

College of Nursing and Health Sciences 

At the College of Nursing and Health Sciences, we aim to be an innovator in contemporary education producing a safer and more resilient health and social care workforce. Our mission is to improve lives and empower communities, enabling better health and caring in the world through an exceptional student learning experience. At the College, our research mission is about co-creating new knowledge which promotes wellbeing, and better care and support, to individuals and communities across the lifespan. We work proactively with industry partners and professional bodies leading to more employable and innovative graduates. 

Life at Flinders

We're transforming and investing in people and facilities to create contemporary, stimulating, and satisfying learning and work environments that reflect our core values of excellence, innovation, courage, and integrity. Flinders is refocusing its strategic priorities with the aim of elevating its performance to be a top ten Australian university, and amongst the top 1% in the world.

Reaching beyond the limits of buildings, borders, and backgrounds, ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders?


	17% Superannuation + salary packaging options
	Flexible working arrangements
	Our commitment to wellbeing through our Thriving@Flinders initiative
	Wide range of professional development activities and services, including exclusive staff study offers 
	We embrace diversity and promote equity and inclusion for all students and staff, as shown through our three SAGE Cygnet Awards.
	Vibrant campus life and amenities including on campus health care services, gym and childcare centre (Bedford Park, South Australia)


Our Commitment to Reconciliation and Indigenous Employment

Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples.  We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies.


	Please see here for our Reconciliation Action Plan 
	Please see here for our Indigenous Workforce Strategy 


Prescribed Conditions for Employment 


	A current Nationally Coordinated Criminal History Check which is satisfactory to the University will be required by Flinders University before the successful applicant can commence in this position. A criminal record will not automatically disqualify a candidate from consideration. Each case will be assessed on its individual merits and relevance to the inherent requirements of the role.
	In addition, it is a requirement of this position that the incumbent maintain a current Working with Children Check which is satisfactory to the University in accordance with the Child Safety (Prohibited Persons) Act 2016 (SA).
	SA: Staff working in a health care setting are strongly recommended to be fully vaccinated against COVID-19 in line with the SA Health policy


How to Apply and Information


	
	You are required to submit a CV, along with a Suitability Statement as a separate document. This should be no more than 3 pages, and address the Key Position Capabilities of the Position Description
	


For more information regarding this position, please contact Chris Barr

Important Notice: Recruitment Activity During University Shutdown

Please note that recruitment activity will be paused during the Flinders University shutdown period. No updates or progress on applications will be available between 22 December 2025 and 5 January 2026.

Recruitment processes will resume from 5 January 2026, and application statuses will be communicated from that date onward.

We appreciate your understanding and patience during this time.

At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities.

Certification

Applications to be submitted before 10.00pm:

07 Jan 2026

At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities.

Flinders. Fearless. 


Flinders University

United Kingdom, Guildford

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. 

We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.

Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.

The role

Play a crucial role in fostering a safe work environment and reducing the risk of accidents and injuries. They are essential for the overall safety and well-being of employees and the public.

To lead compliance governance and project delivery within Surrey Sports Park, ensuring adherence to statutory, university, and departmental requirements. The role safeguards operational integrity through proactive risk management, robust auditing, and effective project execution aligned with strategic objectives.

This position is critical to maintaining a safe, inclusive, and well-governed environment while delivering strategic projects that enhance the Sports Park’s operational resilience and long-term sustainability.

About you

You are a detail-oriented operational professional with strong compliance expertise and project management skills.

You can:


	Ensure health & safety, safeguarding, and statutory compliance through audits, risk assessments, and accurate reporting.
	Manage end-to-end projects—planning, budgeting, risk, and quality—aligned with strategic goals like sustainability and maintenance.
	Collaborate across teams to embed compliance into daily operations and optimize service delivery.
	Communicate effectively with stakeholders and apply independent judgment to solve complex challenges.
	Demonstrate strong knowledge of regulations, risk management, and proven experience in project delivery.


How to apply

Please apply via the University of Surrey website, completing an application form along with your CV and a Covering Letter. 

Interviews will take place week commencing 12th January 2026.

Further details

Job Description


University of Surrey

About UM6P:

Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment.

UM6P is a very ambitious university, enjoying ample research funding, moderate teaching load, and excellent facilities.

In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions, both international ones for developing up to date science, and at continent level to address real African challenges.

UM6P offers highly competitive salaries at the international level. Our researchers get incentives through a participation to the intellectual property they develop.

About ASARI (UM6P Laâyoune):

The African Sustainable Agriculture Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P) in Laayoune City, south of Morocco. It constitutes a structure of applied research with a vision of solving real Local, Regional, and African agriculture challenges leveraging up-to-date science and technology. To implement its vision, ASARI puts a lot of emphasis on interdisciplinary research in sectors of strategic interest for the southern regions of Morocco and for the African continent such as: 


	Plant & animal biotechnology (biosaline agriculture, animal production & nutrition, valorization of native aromatic & medicinal plants and algae, etc.)
	Sustainable technologies in water, environment, and energy sectors. 


Job description:

African Sustainable Agriculture Research Institute (ASARI) at Mohammed VI Polytechnic University (UM6P) is seeking applications for one year contract as Postdoctoral in the field of Aquaculture and seaweed monitoring. Candidates should hold a PhD degree with professional experience in Aquaculture research. 

Key duties:

Successful candidate is expected to:


	Publishing results in peer-reviewed journals and present at national and international conferences.
	Assist with grant writing and development of new research directions.
	Mentor graduate and undergraduate students and support lab and hatchery operations.
	Assist in organizing and launching research activities.
	Contribute to general laboratory management and logistics.
	Document the standard operating procedures.
	Strong English communication skills, both verbal and written is required.


Criteria of the candidate:


	PhD degree in marine science, aquaculture or similar from a recognized University.
	Able to carry out field work.
	Demonstrated ability to work independently and as part of a collaborative research team.
	Positive working attitude and ability to work both in a team and independently.
	Strong written and verbal communication skills, with a record of peer-reviewed publications.
	Proficiency with statistical analysis and data visualization.


Application process:

Applications should contain the following documents:


	Curriculum Vitae
	A letter (maximum 1 page) explaining the motivation for the position
	Contact information of 3 references (Applicants are assumed to have obtained their references’ consent to be contacted for this matter)


Applications are to be submitted on the recruitment platform stating in object “Postdoc in Aquaculture systems and Seaweed Monitoring”.


Kaduna State University

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