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- Aufgaben: Join us as a Postdoc to research and teach cutting-edge AI methods.
- Arbeitgeber: The University of Marburg is a historic institution with a vibrant student community and impactful research.
- Mitarbeitervorteile: Enjoy full-time salary, public transport tickets, and support for your academic career.
- Warum dieser Job: This role offers independence in research, mentoring, and a dynamic environment in AI.
- Gewünschte Qualifikationen: MSc in Computer Science or equivalent, with expertise in AI and programming skills required.
- Andere Informationen: Women and applicants with disabilities are encouraged to apply.
Das voraussichtliche Gehalt liegt zwischen 50000 - 70000 € pro Jahr.
registration number: fb12-0004-wmz-2025
Entry date:
as soon as possible
Application deadline:
2025-03-02
Salary:
E 13 TV-H
Duration:
4 years
Volume of employment:
full-time
The University of Marburg, founded in 1527, offers a variety of excellent programs of study for around 22,000 students and confronts the important topics of our time through excellent research across a broad spectrum of sciences.
The Department of Mathematics and Computer Science, research group on “Artificial Intelligence – Multimodal Modelling and Machine Learning”, Prof. Dr. Ralph Ewerth is currently accepting applications for a
Postdoc
The position is offered for a period of 4 years (with the option for a 2-year extension upon successful evaluation), if no former times of qualification must be considered. The earliest starting date is April 1, 2025. The position is fulltime with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13).
Tasks:
- scientific services in research and teaching
- research and development of novel AI methods in the topic areas listed below (see „Your qualification“)
- publication of research results in high-ranked international venues (A*/A/Q1)
- acquisition of third-party funds for research projects (both in contributing and independent roles)
- co-supervision of students and PhD students
- optional: Setting up your own junior research group
The position is limited to the period which is adequate to the duration of the qualification period. The qualification goal is a habilitation or an equivalent qualification required for a professorship. Within the scope of the assigned duties it will offer the possibility of independent scientific research for further qualification. The limitation complies to § 2, 1 WissZeitVG.
Profile:
- MSc degree or equivalent in Computer Science, along with either a very good doctorate or evidence of being in the final stages of doctoral completion
- demonstrated expertise in one or more of the following areas: computer vision, machine learning, multimodal computing, information retrieval, human-centered AI, semantic web, visual analytics
- expertise in one of the following application domains is an advantage: social media and disinformation, technology-enhanced learning, learning analytics, cognitive science, medical informatics, digital humanities
- publications in internationally renowned computer science venues in at least one of the above-mentioned areas
- excellent programming skills in common programming languages (Python, Java, etc.), experience with machine learning libraries
- experience in supervising student theses and collaboration in joint publications
We offer:
- outstanding opportunities for developing your research profile, support with grant applications, mentoring and guidance for your academic career development
- an excellent and dynamically evolving research environment in the Department of Mathematics and Computer Science, including three newly established AI professorships
- connection to hessian.AI (Hessian Center for Artificial Intelligence) with exceptional collaboration opportunities and high-performance computing resources for training large-scale AI models
- an excellent international and national research network (including connections to various institutes of the Leibniz Association and Fraunhofer Society)
- funding for conference participation
- ticket for free use of public transport in the state Hesse, Germany
Contact for more Information
Prof. Dr. Ralph Ewerth
+49 6421-28 21585 (Department Office)
We support women and strongly encourage them to apply. In areas where women are underrepresented, female applicants will be preferred in case of equal qualifications. As a certified family-friendly university, we support our employees in balancing family and career. Sharing a full-time position (§ 8 Abs. 2 S. 1 HGlG) as well as a reduction of working time is possible. Applicants with a disability as discribed in SGB IX (§ 2 Abs. 2, 3) will be preferred in case of equal qualifications.Application and interview costs can not be refunded.
Please apply by 02.03.2025 using the application-button below.
#J-18808-Ljbffr
Postdoc Arbeitgeber: Philipps-Universität Marburg
Kontaktperson:
Philipps-Universität Marburg HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Postdoc
✨Tip Number 1
Make sure to familiarize yourself with the research group's focus on Artificial Intelligence, particularly in multimodal modeling and machine learning. Understanding their current projects and publications can help you tailor your discussions during the interview.
✨Tip Number 2
Network with current or former members of the Department of Mathematics and Computer Science. Engaging with them can provide insights into the department's culture and expectations, which can be beneficial for your application and interview.
✨Tip Number 3
Prepare to discuss your previous research experiences and how they align with the position's requirements. Highlight any relevant publications and your expertise in areas like computer vision or human-centered AI to demonstrate your fit for the role.
✨Tip Number 4
Consider outlining potential research ideas that could contribute to the department's goals. Showing initiative and a clear vision for your research can set you apart from other candidates during the selection process.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Postdoc
Tipps für deine Bewerbung 🫡
Understand the Requirements: Carefully read the job description to understand the qualifications and skills required for the Postdoc position. Make sure you meet the criteria, especially in areas like computer vision, machine learning, and programming skills.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job profile. Emphasize your research work, publications, and any teaching or supervisory roles you've held.
Craft a Strong Cover Letter: Write a compelling cover letter that outlines your motivation for applying, your research interests, and how your background fits the role. Mention specific projects or experiences that demonstrate your expertise in AI and related fields.
Prepare for Potential Interviews: While this step comes after application submission, it's good to prepare for interviews by reviewing common questions related to your research and teaching philosophy. Be ready to discuss your past work and future research plans.
Wie du dich auf ein Vorstellungsgespräch bei Philipps-Universität Marburg vorbereitest
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to AI methods, machine learning, or computer vision. Highlight any publications you've contributed to and how they align with the department's focus.
✨Demonstrate Programming Proficiency
Since excellent programming skills are crucial for this position, be ready to talk about your experience with languages like Python and Java. You might also want to mention specific machine learning libraries you have worked with.
✨Discuss Collaboration and Supervision
The role involves co-supervising students and collaborating on publications. Share examples of your past experiences in mentoring or working in teams, emphasizing your ability to foster a collaborative research environment.
✨Prepare for Questions on Funding Acquisition
As acquiring third-party funds is part of the job, think about any experiences you have had with grant applications or funding proposals. Be ready to discuss your strategies for securing funding and how you plan to contribute to this aspect of the role.
