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Vous assurez le chargement et le déchargement de toutes les prestations et effectuez les livraisons sur piste ou tout autre point de vente en respectant les heures de livraison et les règles de sécurité.
Vous êtes rattaché au département Handling, et vous reportez aux différents responsables en respectant les niveaux hiérarchiques (Superviseur de vols, Ramp Manager, et Directeur Handling)
Les missions principales du poste sont les suivantes :
- Contrôler la conformité du nombre de trolleys et armoires à livrer avant le chargement
- Assurer le chargement des produits dans les véhicules conformément au plan d’armement
- Assurer la livraison dans les délais impartis en respectant les plans d’armement
- Effectuer le déchargement par zone (plonge, armement…)
- Conduire un véhicule lourd ou léger en respectant la règlementation routière (sur route et sur piste)
- Maîtriser la conduite sur piste ainsi que la réalisation des approches avions conformément à la formation théorique et pratique.
- Vérifier l'état de fonctionnement du véhicule et des équipements.
- Vérifier la présence et la conformité des documents de bord et de transport.
- Sécuriser tous les produits avant la livraison sur l’aéronef en plombant le matériel de transport (camion)
- Assurer la conformité du chargement selon les procédures en place.
- Assurer le nettoyage du véhicule et des abords du quai après chaque vacation
- Communiquer tous dysfonctionnement à sa hiérarchie et à la régulation
- Remplir les différents documents de sûreté (certificat…), sécurité et d’HACC
- Vous êtes flexible en ce qui concerne les horaires de travail. Vous pouvez prester les horaires matinaux ou tardifs et vous êtes disponible pour travailler les week-ends et les jours fériés.
- Respect des règles applicables au sein de la société : sûreté, hygiène et sécurité.
- Respecter la bonne utilisation du matériel.
- Les différentes missions listées de manière non exhaustive dans cette définition de fonctions seront menées en respectant les directives de la Direction de l’Unité.
AFit360 in Brugge zoekt geen gewone coach.
Wij zoeken een energieke, professionele en ambitieuze coach die mensen écht wil transformeren op vlak van lichaam, energie, mindset en levensstijl.
Bij AFit360 begeleiden we klanten niet alleen tijdens trainingen, maar helpen we hen sterker, fitter en zelfzekerder worden via structuur, accountability en coaching.
Je komt terecht in een groeiend premium coachingbedrijf met hoge standaarden, sterke cultuur en veel groeikansen.
Jouw rol:
- Personal training sessies geven op topniveau
- Klanten motiveren en begeleiden
- Trainingsprogramma’s opvolgen
- Check-ins en klantresultaten bewaken
- Professionele energie brengen op de vloer
- Mee bouwen aan een sterk team
Wie zoeken we?
- Passie voor fitness & coaching
- Positieve energie
- Discipline en verantwoordelijkheid
- Sociaal sterk en professioneel
- Leergierig en ambitieus
- Ervaring is een plus, attitude is belangrijker
Wat bieden wij?
- Werken in een sterk groeiend bedrijf
- Interne coaching en ontwikkeling
- Doorgroeimogelijkheden
- Sterke teamcultuur
- Correcte verloning
- Impactvol werk met echte resultaten
Ben jij iemand die niet gemiddeld wil zijn?
Solliciteer nu en bouw mee aan AFit360.
At AAU Energy, a position as Postdoc in AI and Deep Learning for Radar-Based Non-Destructive Testing is open for appointment from 01.10.2026 or as soon as possible hereafter. The position is available for a period of 2 years (24 months) and is based at Aalborg University’s campus in Esbjerg.
You will be part of the research group AI for Energy, which is placed in the Esbjerg Energy Section. The position is closely connected to our activities within automated quality assurance and structural health monitoring of wind energy components and your work will contribute to the development of new knowledge within this field.
Your work tasks
In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework for the detection, segmentation, and classification of wrinkles in composite wind turbine blades using radar imaging. You will be involved in both independent and collaborative research activities in close interaction with colleagues in the group and external partners in Denmark and abroad.
You will work with the design and execution of research studies, the analysis and interpretation of data, and the dissemination of results in high-quality scientific outlets. Your daily work will typically involve a combination of independent research and collaboration in project teams, where you help develop concepts, methods and solutions that are relevant for the energy sector.
In particular, you will be involved in the POPCORN project, where you will implement state-of-the-art semantic segmentation and instance segmentation models, utilize Diffusion Models for synthetic data augmentation, and integrate Vision-Language Models (VLMs) for automated QA report generation. You will work closely with industrial partners Becster and Vestas, specifically targeting the estimation of wrinkle size, depth, and taxonomy.
You will be expected to contribute to scientific publications in international peer-reviewed journals and to present your work at conferences, workshops and meetings with partners. You will collaborate with researchers across the department and, where relevant, with industrial or public stakeholders. The position may include a limited amount of teaching and supervision of students at bachelor’s and master’s level, for example in the form of project supervision or involvement in courses related to your expertise. Depending on project needs, you may also take part in preparing applications for external research funding and in supporting the development of new research directions at the department.
Your competencies
You hold a PhD degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a closely related field or can document equivalent scientific qualifications at PhD level. Your research profile is clearly connected to Deep Learning and Computer Vision, and you can demonstrate experience with semantic segmentation, object detection, and generative AI models.
You have solid skills in programming in Python and the modern AI ecosystem, including PyTorch, HuggingFace, and ONNX and you are comfortable working systematically with complex technical problems. Experience with industrial collaboration and the optimization of models for embedded systems, such as NVIDIA Jetson and TensorRT will be an advantage, as will a documented ability to publish in international journals.
You communicate clearly in English, both orally and in writing, and you can present your work to both specialists and non-specialists. If you already speak Danish or would like to learn it, this will be an asset in everyday life at the university and in Danish society, and language courses are available locally.
You are motivated by working in an international academic environment, where you collaborate closely with colleagues, share knowledge and contribute actively to joint projects, while also managing your own tasks in a structured and responsible way. You are curious, open to feedback and able to move projects forward from idea to concrete results within agreed deadlines.
Who we are
AAU Energy is a research department at Aalborg University dedicated to the development of clean and sustainable energy systems. Our activities cover electrical, thermal and mechatronic energy technologies, and we work closely with industrial partners and other academic environments to address real-world energy challenges.
The department is located in both Aalborg and Esbjerg, and this position is based at the Esbjerg campus. AAU Energy employs around 250 staff members at different career stages and from a broad range of national backgrounds. This creates an international and interdisciplinary research environment with many opportunities for collaboration and knowledge sharing. English is widely used as the working language in research and teaching, which makes it straightforward for international colleagues to integrate.
We offer access to advanced laboratory and workshop facilities and an environment where you can develop your academic profile through research, teaching and collaboration with both Danish and international external partners. As a workplace we value a collegial and inclusive culture with room for professional discussion, initiative and mutual support in everyday work.
New colleagues, whether they come from elsewhere in Denmark or from abroad, can draw on the university’s support services related to relocation, housing and practical matters. Aalborg University offers general onboarding support to all new employees, as well as dedicated support for international staff through its International Staff Unit (ISU). You can read more about relocation support and services here: https://www.en.hr.aau.dk/relocation-support
Aalborg University also offers Danish language courses to support international employees in settling into both the workplace and Danish society. International employees typically can attend Danish language courses during their first years in Denmark (depending on individual eligibility and national schemes).
You can read more about AAU Energy at www.energy.aau.dk.
Qualification requirements
Appointment as postdoc requires academic qualifications at PhD level.
How to apply
Your application must include the following:
- Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position
- Curriculum Vitae (CV)
- Diplomas (master's degree diploma and PhD diploma)
- List of publications, with an indication of the attached publications that you wish to be taken into account in the assessment. You may attach a maximum of five publications.
- Documentation of teaching qualifications if relevant.
- Dissemination qualifications, including participation on committees or boards, participation in organisations etc.
- Additional qualifications in relation to the position
- References/recommendations
You can read more about the requirements for your application here.
The application must be submitted via Aalborg University’s recruitment system, which can be accessed under the job advertisement on Aalborg University's website.
Aalborg University wants to reflect the surrounding society and has diversity as a core value. Therefore, everyone, regardless of personal background and orientation, is encouraged to apply for the position.
Do you have any questions?
If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost.
For professional questions, please contact Associate Prefessor Petar Durdevic, pdl@energy.aau.dk, +45 31751320
Further information
Read more about our recruitment process here
The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here.
The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace.
Salary and terms of employment
The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish) and protocol on certain terms of employment of academic staff at universities (in Danish).
Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (only in Danish) and protocol on certain terms of employment of academic staff at universities (only in Danish).
There is a mutual probationary period of 3 months for the position.
Aalborg University - Knowledge for the world
Aalborg University is an international workplace with more than 3,700 employees. We offer real-world-oriented education and create world-class research results through collaboration between researchers, students, and public and private companies. This is how we achieve insights, new solutions to societal problems, and knowledge that changes the world. Our main campus is in Aalborg, but we also have campuses in Esbjerg and Copenhagen.
Uw rol
Als calculator bent u de organisatorische motor achter onze projecten, van offerte tot oplevering. Van de eerste klantvraag tot de finale oplevering. U vormt het vaste aanspreekpunt en werkt nauw samen met onze techniekers en projectleiders. Dankzij uw technische kennis en nauwkeurigheid vertaalt u plannen en concepten naarrealistische, rendabele en duurzame oplossingen.
In deze functie bent u verantwoordelijk voor een breed technisch, commercieel en administratief takenpakket.
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Technische kennis: sterke achtergrond in HVAC, hernieuwbare energie of aanverwante technieken.
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Analytisch vermogen: kunnen analyseren van klantvragen, architectendossiers, hydraulische schema’s, bestekken en aanbestedingen.
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Ervaring met calculaties: kunnen opstellen van offertes, prijsramingen, materiaalschattingen en werkurenberekeningen.
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Precisie en nauwkeurigheid: nauwkeurig meten van afmetingen, oppervlaktes, volumes en locaties op de werf.
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Projectbeheer en organisatorische vaardigheden: administratieve en technische opvolging van projecten, inclusief planning, werfcoördinatie en beheer van bestellingen/leveringen.
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Commerciële en klantgerichte vaardigheden: professioneel adviseren van klanten en onderhouden van contact in Nederlands, Frans en Engels.
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Communicatie- en teamvaardigheden: goed kunnen samenwerken met techniekers, projectleiders en collega’s.
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Flexibiliteit en zelfstandigheid: bereid om mee te werken aan beurzen en verschillende projecten zelfstandig te beheren.
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Motivatie voor duurzaamheid: interesse in circulaire en energiezuinige oplossingen.
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Bereidheid tot bijscholing: openstaan voor opleidingen en updates over nieuwste technieken en producten in de sector.
About the position
We invite applications for a PhD Research Fellow position in Continuous Experience Recognition for Distributed Co-Creative Immersive Systems, available at the Department of Informatics as a member of the MishMash Centre for AI and Creativity.
Starting date no later than February 2, 2027.
The fellowship period is three years.
Depending on the candidate and the teaching needs of the department, the fellowship period can be extended either for compulsory work consisting of e.g. teaching and supervision duties and research assistance up top 12 months.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
Job description
The position is part of MishMash Centre for AI and Creativity, which is a Norwegian AI centre funded by the Research Council of Norway (2025-2030). It comprises more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective of MishMash is to create, explore, and reflect on AI for, through, and in creative practices. MishMash researchers will develop innovative CoCreative AI systems, investigate AI’s impact on creative processes, educational strategies, and address AI’s ethical, cultural, legal, and societal implications in creative domains. See mishmash.no for more information. In addition, this PhD candidate will be able to participate and exploit synergies with the RCN-funded DRIVE project on brain-driven multi-sensory robotic avatars for remote collaborative physical work.
The PhD fellowship position is located at the University of Oslo’s Department of Informatics (IFI) and is hosted by the Network and Distributed Systems Research Group (ND) with co-supervision from IFI’s Machine Learning section and the University of Inland Norway’s research group for User Perception and Engagement in XR Experiences. ND conducts research in networks and distributed systems of all scales, multimedia and AR/VR/XR systems, robotics and machine learning, advancing general and fundamental scientific knowledge driven by specific applications.
The successful candidate will join ND’s the Sustainable Immersive Networking Lab (SINLAB), a multidisciplinary team working on systems that enable users to become immersed in remote physical environments, observe them, move in them, and physically act in them, and experience the effects of their actions through multimodal feedback (audio, video, haptics). SINLAB conducts holistic research on distributed, real-time interactive and immersive systems, in particular on enabling a first-person presence in remote, augmented and virtual spaces. We work on overcoming the challenges of limited temporal and spatial accuracy of such remote interactions. We pay particular attention to the exploration of potential and limitations arising from the use of AI-based methods in predictive feedback.
The successful candidate will:
- explore how a combination of multimodal observation (audio, video, LIDAR, thermal vision) and physiological measurements (motion tracking, eye tracking, EMG, BCI, EDA, HRV) can be used to continuously assess the human experience of interaction quality, and
- how this assessment can be fed back into the AI-based predictor to tune its behaviour in real-time for a highly personalized and context-dependent experience.
This research will be conducted in collaboration with partners of the MishMash center. Specific applications in which the candidate will explore are (1) multimodal first-person presence in a remote environment through a robot, and (2) the co-creative collaboration between an embodied AI and one or more human musicians. Additionally, applicability to situational awareness and high-level control in control centers will be considered.
What skills are important in this role?
The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Required qualifications:
- Master’s degree or equivalent in informatics, computer science/engineering, mathematics, music/media technology, electrical/electronic engineering, cybernetics, robotics or other field relevant for the position
- Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
- Documented experience with designing and conducting user experience studies and quantitative performance evaluation
- Documented experience in the system performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics, multimodal or multimedia systems. Directly relevant areas are preferable
- Documented hands-on experience with machine learning methods, in particular for time series data
- Documented hands-on programming experience
Fluent oral and written communication skills in English
Candidates without a master’s degree have until 31.12.2026 to complete the final exam.
Desired qualifications:
- It is a strong advantage to have command of a Scandinavian language due to the collaborative nature of the MishMash center
- Documented experience in computer networks and/or distributed systems is a strong advantage
- It is an advantage to be knowledgeable in non-AI statistics and mathematical modeling
- It is an advantage if the applicant has developed working systems, prototypes, or emulators
- It is an advantage if the applicant has developed software in fields such as AR/VR/XR, robotics, haptics, multimedia systems or computer games requiring hand-eye-coordination
- It is an advantage to have experience in AI-based time-series analysis, spatio-temporal prediction or situational awareness
- It is an advantage to have experience with scientific writing and publication
Language requirement:
- Good oral and written communication skills in English
- English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:
https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8
Grade requirements:
The norm is as follows:
- The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
- The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
- The Master’s thesis must have the grade B or better in the Norwegian educational system
All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the national security regulation.
What are we looking for in you?
Personal skills:
- Be comfortable and capable working in an open, interactive, collaborative work environment
- An interest in collaborating beyond one’s own research discipline
- The social responsibility and ethical awareness required to design, organize, and conduct user studies
- Good communication and collaboration skills
- A positive attitude and the ability to handle hectic periods
- Prefer to be present at the workplace and actively contribute to the professional and social environment of SINLAB and MishMash
Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal qualifications.
We can offer you
- A pleasant and stimulating work environment
- Good welfare schemes
- Opportunity of up to 1.5 hours a week of exercise during working hours
- A workplace with good development and career opportunities
- Career development programmes
- Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes
- Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
- Salary in position as PhD Research Fellow, position code 1017 in salary range NOK from 550 800 - 595 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund
We need different perspectives in our work
UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no.
We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues, could you be the next one?
We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures.
If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian).
The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here.
We hope you will apply for the position with us.
How to apply
The application must include:
- Cover letter - statement of motivation and research interests
- CV (summarizing education, positions and academic work - scientific publications)
- Copies of the original Bachelor and Master’s degree diploma and transcripts of records
- Letters of recommendation
- Documentation of English proficiency if applicable
- List of publications and academic work that the applicant wishes to be considered by the evaluation committee
- Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job".
Foreign applicants should attach an official explanation of their University's grading system.
When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language.
General information
The best qualified candidates will invited for interviews.
Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can't, you will hear from us.
Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian), Guidelines concerning appointment to post doctoral and research posts at UiO (Norwegian) and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo.
The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.
Om arbeidsgiveren:
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 26 500 students and 7 200 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.
The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors.