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The Research Project
The position is part of the FOOD NOSTALGI-AI, funded by AUFF NOVA, and led by Assistant Professor Alejandra Zaragoza Scherman, affiliated to the Center on Autobiographical Memory Research (CON AMORE) and the Centre for Integrative Business Psychology (CIBP), at the Department of Psychology and Behavioural Sciences, Aarhus University. The project investigates how nostalgia is expressed in food communication by integrating visual and textual signals. The project will combine curated research datasets with additional publicly available datasets of food-related images and text. Because the labelled dataset is relatively small, the project will rely primarily on either zero-/few-shot learning with frontier large language/vision models or transfer learning and fine-tuning of pretrained models. This research-driven project integrates computer vision, natural language processing, and modelling of emotions (i.e., nostalgia), offering the opportunity to contribute to a novel multimodal AI problem with clear research publication potential.
Job Description
The Applied AI/ML Research Assistant will help with design, training, and evaluation of novel machine learning models capable of identifying nostalgic content in food-related communication. The role requires expertise in deep learning, computer vision, natural language processing, and multimodal modelling, as well as the ability to translate abstract psychological constructs into computational representations.
The candidate will collaborate with researchers from Aarhus University (Department of Psychology and Behavioural Science, Department of Management, Department of Computer Science), the IT University of Copenhagen, and the Pioneer Centre for AI, ensuring both technical rigor and conceptual validity. The successful candidate will be co-author on resulting scientific publications and will contribute to research outputs targeting leading AI and interdisciplinary venues.
Your responsibilities will, among other things, include:
- Design and implement deep learning models for detecting nostalgia in food-related content
- Develop computer vision models for analysing food imagery
- Implement NLP models for analysing short-form text (e.g., captions, descriptions)
- Build and evaluate multimodal models combining image and textWork with curated research datasets and additional public datasets of food imagery and text
- Contribute to the development of annotation protocols for nostalgia
- Implement data preprocessing, augmentation, and quality control pipelines
- Apply zero-/few- shot learning, transfer learning, and fine-tuning strategies suitable for limited labelled datasets
- Evaluate model performance using appropriate metrics
- Conduct error analysis to distinguish nostalgia from related affective states
- Apply explainability/interpretability techniques to interpret model outputs
- Contribute to manuscript preparation for peer-reviewed publication
- Assist with figures, methods descriptions, and technical appendices
- Document models, training pipelines, and results
- Maintain a reproducible GitHub repository
Your qualifications
- MSc in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Data Science, or a related field
- Strong Python programming skills
- Experience with deep learning frameworks (PyTorch, TensorFlow, JAX, or HuggingFace)
- Expertise in computer vision (CNNs, Vision Transformers, pretrained models)
- NLP experience with short-form text (captions or social media content)
- Experience training and evaluating machine learning models
- Experience working with limited datasets and transfer learning
- Understanding of statistical evaluation methods
- Experience with multimodal models (image + text)
- Familiarity with affective computing or emotion recognition
- Experience with model interpretability methods
- Prior involvement in research-oriented or interdisciplinary AI projects
- Familiarity with prompting Large Language Models (LLMs) and Large Vision Models (LVMs) will be a plus.
Who we are
The Department of Psychology and Behavioural Sciences is part of Aarhus BSS, Aarhus University – a top 100 university. Aarhus BSS has achieved the triple-crown AACSB, AMBA and EQUIS accreditations.
At the Department of Psychology and Behavioural Sciences, we teach and conduct research into the most significant subject areas of psychology. The department employs around 55-60 academic staff members and 40 PhD students. Our researchers have a strong tradition for collaborating with Danish as well as international researchers from many different academic fields such as health and psychiatry, education, pedagogic, linguistics, philosophy, religious studies, organizational development and management, economics and neuroscience.
Further information
For more information about the Department of Psychology and Behavioural Sciences, please visit: http://psy.au.dk/en/
For further information regarding the position, please contact Assistant Professor Alejandra Zaragoza Scherman, e-mail: alejandra@psy.au.dk
If you need help uploading your application or have any questions about the recruitment process, please contact HR Coordinator, Charlotte Thomsen, e-mail: charlotte@au.dk
Place of Work
Department of Psychology and Behavioural Sciences, Bartholins Allé 11, DK-8000, Aarhus C.
Application deadline
June 1st, 2026
Qualification requirements
The qualification requirement for appointment as research assistant is a Master's degree.
International applicant?
Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information here:
https://internationalstaff.au.dk/relocationservice/
Please find more information about research opportunities at Aarhus University here: http://international.au.dk/research/
Terms of employment
The appointment is made in accordance with the Memorandum on Job Structure for Academic Staff at Danish Universities as well as the circular on the Collective Agreement for Academics Employed by the State (in Danish).
The job content and qualification requirements are described in further detail in the Ministerial Order on the Appointment of Academic Staff at Universities.
Application procedure
When you apply for this position it is mandatory to attach the following:
- Application
- Curriculum Vitae. You are encouraged to declare any periods of leave without research activity, including, for example, maternity leave, since your research activities are assessed in relation to your actual research time
- Education (diploma for master's, PhD and possibly higher doctoral degree)
- Technical statement (max 1 page) describing a machine learning model they previously trained, including the dataset used, model architecture, evaluation approach, and their specific contribution.
- Links to GitHub repositories or examples of machine learning projects.
- List of publications (the enclosed publications must be clearly marked on the list of publications)
- Publications. Up to three publications may be submitted. In the event of several authors the publications must be accompanied by a co-author statement concerning the applicant's share of the collaborative work with the consent of the co-authors. This template may be used for the purpose.
- Teaching portfolio. The specific requirements regarding the documentation can be found here
Read more about how to apply for an academic post at Aarhus BSS here
The evaluation process
After the application deadline, an assessment committee is appointed. Please note that the assessment of applicants is based solely on the material received prior to the application deadline. For further information, see Guidelines for Assessment Committee, Aarhus BSS.Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.
The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.
Aarhus University
Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 37,000 students (FTEs) and 8.700 employees and has an annual revenue of EUR 1.106 billion. Learn more at www.international.au.dk/
At AAU Energy, a position as Postdoc in thermo-mechanical modelling and experimental study of
ferroelectric and thermoelectric devices is open for appointment from 01 August 2026 or as soon as possible hereafter. The position is available for a period of 2 years and is based at Aalborg University’s campus in Aalborg.
You will be part of the research group Applied Smart Materials for Energy Innovations (ASMEi) which is placed in the section for Thermal Engineering. The position is closely connected to our activities within self-charging batteries for a sustainable future, 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 multi-physics simulations and experimental validation of innovative ferroelectric, piezoelectric, and thermoelectric energy harvesting concepts, with a particular focus on self-charging vibrational batteries. 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 design, modelling, laboratory test, and optimization of energy
harvesting technologies e.g., ferroelectric, piezoelectric, and thermoelectric, for various innovative
applications.
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 Mechanical or Energy Engineering or can document equivalent scientific
qualifications at PhD level. Your research profile is clearly connected to vibrational and thermal energy harvesting devices and systems, and you can demonstrate experience with thermo-electro-mechanical modeling, and ferroelectric based energy harvesting design.
You have solid skills in modelling and simulation using COMSOL Multiphysics, experimental work in laboratory environments, programming in MATLAB, and data processing and analysis and you are comfortable working systematically with complex technical problems. Experience with preparation of research and innovation proposals, where your results and ideas contribute to shaping new project applications and future activities in the group, will be an advantage, as will a documented ability to publish in international journals. It will be appreciated that the candidate’s approach to research and teamwork is characterized by an open and inclusive mindset.
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.
Who we are
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.
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 Aalborg 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.
The section of Thermal Engineering leverages state-of-the-art laboratory facilities and expertise in
modelling, simulation, optimization, and testing of advanced energy systems. This makes us a key player in both national and international research initiatives. ASMEi research group focuses on utilizing smart materials for conversion of CO2 into renewable fuel, and for enabling sensors, actuators and predictive maintenance in energy systems self-powered and autonomous. We contribute to design, modelling, and fabrication of energy harvesting concepts and energy conversion technologies for generation of electrical energy from thermal, vibrational, light and kinetic sources of energy.
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 life. 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.
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 Alireza Rezaniakolaei, E-mail: alr@energy.aau.dk, Phone: +4521370284.
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.
The Department of Energy at Aalborg University (AAU Energy) invites applications for a PhD stipend within the project “HVDC Subsea Electrode Unit”, starting from July 2026 or soon hereafter. The employment is fixed for 3-years and is funded by the Energy Technology Development and Demonstration Programme (EUDP). The project aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems.
The PhD project will develop a methodological framework for risk-based structural design and integrity management of the support structure of the subsea HVDC electrode units using reinforcement learning techniques, enabling lightweight, reliable, cost-efficient, and sustainable novel design concepts and structural integrity strategies. The PhD will revisit the established design and structural integrity management methodology in light of recent advances in high-fidelity load and structural response, lifetime assessment under coupled failure mechanisms, novel materials, proactive maintenance approaches, and new subsea sensing capabilities, accounting for aleatory and epistemic uncertainties.
Join this exciting academia–industry collaboration advancing next-generation HVDC subsea infrastructure and be part of a supportive, international research environment, working closely with academic and industrial partners as you develop into a recognised independent researcher.
Project context and key objectives
As offshore wind deployment expands farther from shore, HVDC transmission is increasingly used for efficient long-distance power transfer, where offshore corrective operations can be costly and logistically demanding. HVDC subsea electrode solutions can support affordable, reliable, and sustainable transmission by enabling installation directly on the seabed and reducing the need for additional protective barrier structures and associated costly vessel operations. However, safe, cost-efficient and sustainable deployment requires life-cycle management strategies that account for environmental loading, soil–structure interaction, material behaviour, prominent degradation and failure mechanisms, and associated uncertainties.
Your work tasks
The PhD student will develop their own research track within the project, whilst being supported by close supervision from AAU’s leading academics and access to AAU Energy’s facilities and capabilities for high-fidelity computational numerical modelling and analysis. The position is offered in the research group "Offshore Renewable Energy Systems", and the PhD student will be positioned at the Esbjerg section of AAU Energy. Expected activities include (but are not limited to):
- Gain in-depth understanding of the lifetime assessment considering loads, (polymer-based)
material behaviour, and failure mechanisms (fatigue, fracture, and biofouling ) of subsea structures. - Perform sensitivity and uncertainty analysis to uncover the most significant variables in the design limit states.
- Develop a computational framework using partially-observable multi-agent reinforcement learning to achieve optimal policies and decisions with respect to the structural design and integrity management.
- Establish novel generalisable target reliability levels and partial safety factors for larger subsea applications.
- Publish results in peer-reviewed journals and present at conferences; contribute to technical
reports and collaborate with industrial partners.
Your competencies
We are seeking candidates who possess, or are about to complete, a master’s degree in Ocean
Engineering, Structural Engineering, Risk and Reliability Engineering, or Industrial Engineering, or a
closely related discipline with a strong computational mathematics background.
A strong background and demonstrable interest in statistics, applied mathematics, quantitative risk analysis, data science and machine learning, as well as engineering modelling, analysis and simulation, is essential. Further, the ideal applicant will be capable of working independently, efficiently managing their own workload, and collaborating productively within a multidisciplinary team environment.
As English is the working language, excellent communication skills are required for technical reporting, producing publications, and delivering presentations. In addition, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. Familiarity with structural degradation phenomena—including fatigue, corrosion, and biofouling—would also be beneficial.
Qualification requirements
PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time. As part of the PhD study, you are among other things required to complete PhD courses corresponding to 30 ECTS, gain experience with teaching or other forms of knowledge dissemination and complete an external research stay outside of Aalborg University, preferably 3-6 months at a foreign research institution.
Who we are
AAU Energy is a dynamic and internationally oriented research department at Aalborg University, dedicated to developing clean and sustainable energy systems. Our research spans electrical, thermal, and mechatronic energy technologies, and we work closely with industry and academic partners 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 approximately 300 staff members from diverse national backgrounds, including 39 technical and administrative staff, and regularly hosts 20-30 guest researchers from around the world.
We offer advanced laboratory and workshop facilities, and a collaborative environment that supports innovation, knowledge sharing, and professional development.
Learn more about AAU Energy at www.energy.aau.dk.
How to apply
Your application must include the following:
- Application, stating reasons for applying and qualifications in relation to the position
- Curriculum Vitae (CV)
- Diplomas (bachelor's and master's degree diploma, including grades)
- Project description (4-5 pages), that:
describes the applicant’s initial thoughts and ideas related to the specific project applied for. This includes a brief state-of-the-art (including short list of references), a time schedule and how the applicant intends to shed light on the project objectives. - Other relevant documents
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 Baran Yeter, basy@energy.aau.dk, +4599409607.
Further information
Read more about our recruitment process here.
The assessment of candidates for the position will be carried out by qualified experts.
Shortlisting will be applied. This means that after the application deadline, the head of the department, with the assistance of the hiring committee, will select the applicants to be assessed. All applicants will be informed whether they have been shortlisted for assessment or not.
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.
Read more about The Doctoral School of Engineering and Science
Salary and terms of employment
When pursuing a PhD at Aalborg University, you'll receive a stipend which includes both salary
and pension benefits. The base salary starts at a minimum of 31.242,75 DKK before taxes, with an
additional 18,07% added for pension contributions. However, the final salary can be negotiated
based on your qualifications and experience, with seniority playing a key role in determining the
main salary.
Read more about pension options here.
At Aalborg University's Doctoral School, engineering PhD students enjoy unique career
development opportunities. These include personalized DISC profile assessments with feedback,
career-focused courses, and networking events with trade unions, employers, and other relevant
parties. Learn more about these initiatives at our Career Hub.
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).
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) (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.