Assistant Professor in Quantitative Marketing or Marketing Strategy

We seek to further expand our top-level research and teaching in the field of quantitative marketing or marketing strategy. Therefore, we are looking for internationally oriented, ambitious, and collegial scholars who share our passion for marketing with purpose. We specifically are seeking candidates showing great research potential with a track record of published papers or promising studies aimed at top journals.

Your duties

• Initiating, conducting, and supervising high-quality research
• Publishing in top-tier marketing outlets and securing competitive external research funding
• Teaching and course coordination in the BSc and MSc programs of the School of Business and Economics.
• Contributing to the marketing department in providing executive education and collaborating with the business community and other stakeholders
• Contributing to the Department / School through service and (eventually) committees
• Be committed to obtaining a university teaching qualification, or possessing one already.

Student Assistant Aurora

Are you an internationally minded student looking for a student assistant position for 1 or 2 days per week within a dynamic academic network?

In this role, you will work with international partners of the Aurora Alliance in project groups, help coordinate the Aurora Student Ambassadors, and collaborate closely with the University Student Council within Aurora. You will also support international exchange and cooperation across the network.

Job description
The Aurora Student Assistant will be employed by VU Amsterdam and will develop and carry out activities for the thematic working group Student Engagement within the Aurora Alliance and coordinate the Aurora Student Ambassadors group. The VU Aurora student Assistant will work in close cooperation with the VU Institutional coordinator and the VU Aurora team (mobility and communication). He/she will work under supervision of the VU Institutional coordinator.

Tasks
The Aurora Student Assistant will:

• Represent VU Amsterdam within the Aurora working group for students;
• Actively carry out planning, execution and follow up of activities as discussed within the group in cooperation with other group members;
• Coordinate the Aurora student ambassadors group within VU Amsterdam and work on strengthening the student representation;
• Work closely with the portfolio holders of the VU Student Council; the official representation within the Aurora student council;
• Report 6-weekly on the development within the working group to the VU Aurora institutional coordinator;
• Support the communications officer around student initiatives within the network;
• Support the mobility officer around student exchanges within Aurora;
• Participate once a year in the Aurora summit abroad;
• Actively involve other VU sections involved in Aurora student activities.

PhD-student sociale relaties in het beroepsonderwijs (VMBO/MBO)

Positieve sociale relaties tussen jongeren zijn belangrijk voor jongeren om te kunnen floreren. Leraren hebben veel invloed op de sociale relaties tussen jongeren in de klas. In dit promotietraject onderzoek je hoe leraren in het (voorbereidend) middelbaar beroepsonderwijs kunnen bijdragen aan het bevorderen van positieve relaties tussen jongeren en ga je na hoe dit bijdraagt aan hun floreren en mentale welzijn.

Het onderzoek heeft drie elementen:

1. Je begint met het analyseren van de samenhang tussen de rol van de leraar, groepsdynamiek en peerrelaties in de klas (zoals vriendschappen en sociale posities). Je onderzoekt wat effectieve mechanismen zijn waar de leraar gebruik van kan maken tijdens de dagelijkse interacties en het lesgeven in de klas, om zo tot een goed overzicht te komen van hoe leraren actief (bijv. via diverse klassenmanagement praktijken) en passief (bijv. via de relatie) positieve relaties kunnen bevorderen.
2. Samen met de leerlingen en leraren doe je onderzoek in focusgroepen en ontwikkel je – in co-creatie met jongeren en leraren - interventies die leraren kunnen inzetten om positieve relaties tussen jongeren te bevorderen.
3. Je levert een bijdrage aan de ontwikkeling van het CARES-model (Child & Adolescent Relationships & Ecological Support) en levert inzichten op die direct toepasbaar zijn in scholen.

Taken en verantwoordelijkheden:

• Verrichten van een systematische review;
• Uitvoeren van kwalitatief onderzoek middels focusgroepen met jongeren en professionals;
• Uitvoeren van een design-based onderzoek in nauwe samenwerking met jongeren en professionals;
• Schrijven van een proefschrift op basis van Engelstalige peer-reviewed artikelen;
• Samenwerken met (onderzoek van) andere S2G promovendi;
• Bijdragen aan een documentaire en een praktijkboek;

Het begeleidingsteam bestaat uit dr. Fanny de Swart (VU), Prof. dr. Nienke van Atteveldt (VU), Dr. Chiel van der Veen (VU/Windesheim) en Dr. Jantien Gerdes (Windesheim).

International Student Advisor

As an International Student Advisor within the Degree Mobility Team, you will be in daily contact with incoming international students seeking admission to one of our English-taught Master's programmes. Your main task is to inform and advise the very culturally diverse target group of students throughout the entire process of application and admission.

• Inform international students, mainly via email, telephone and education fairs
• Provide information and advice on the range of programmes, admission requirements and studying at VU Amsterdam
• Process the applications and the evaluation of foreign diplomas
• Provide onsite support for students during the arrival and introduction weeks
• Contribute to the development and overall improvement of the programmes and processes as well as to the pre-defined objectives of the team
• Evaluate and analyse data from the programmes for which you are responsible
• Contribute to a positive team spirit and an open work culture
• Actively participate in various consultations within and outside of the department, as well as participation in various programmes and projects

PhD Position in ML Accelerator Programming for HPC and Scientific Computing

The growing computational demands of Machine Learning (ML) have led to the rise of spatial devices explicitly designed for ML workloads, such as the Cerebras Wafer Scale Engine, AMD Versal AI Engine, and Tenstorrent Blackhole.

Although these accelerators can offer performance and efficiency gains to application domains beyond ML (e.g., computational sciences, big data analytics, graph processing), their potential in these areas remains unexplored. This is largely due to the lack of comprehensive software ecosystems, making them difficult for experts to use and inaccessible to domain scientists.

In this PhD project, you will help bridge this gap by demonstrating best practices and by developing programming tools and methodologies that democratize access to ML accelerators and other spatial devices for the wider scientific community.

Your duties
As a PhD student, you will develop and lead original research. Your work will combine quantitative research, theoretical investigation, software design and development, and experimental validation. Specifically, you will:

• identify and characterize workloads and application domains that benefit from ML accelerators, understanding when and how they can accelerate diverse applications
• develop methodologies and open-source software tools for computing specialists to facilitate application development and reduce time-to-solution
• enable accessible programming for domain scientists, providing them with high-level tools and training resources to productively use ML accelerators without requiring deep hardware or low-level programming expertise

As part of this position, you will be encouraged and supported to refine and drive your own research within the project scope, publish and present your findings at top-tier systems and HPC venues, develop and maintain open-source software, and contribute to teaching and community outreach. The ultimate goal is for the successful candidate to produce a dissertation that leads to a PhD degree in 4 years.