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- Aufgaben: Engage in mathematical research and algorithmic development for the UrbanAIR project.
- Arbeitgeber: Join TU Ilmenau, a forward-thinking university focused on innovative teaching and interdisciplinary approaches.
- Mitarbeitervorteile: Enjoy 30 vacation days, flexible working hours, and a supportive work environment with health offerings.
- Warum dieser Job: Contribute to climate-resilient urban planning while completing your PhD in a collaborative setting.
- Gewünschte Qualifikationen: Must have a degree in mathematics or related fields, with skills in data science and programming.
- Andere Informationen: Opportunity for international collaboration and participation in academic events.
Das voraussichtliche Gehalt liegt zwischen 45000 - 63000 € pro Jahr.
| Volume: |
Part time 75% |
|---|---|
| Restriction: |
Until 31.12.2028 |
| Salary: |
EG 13 TV-L |
| Beginning: |
As soon as possible |
PhD Position (f/m/d)
In the Department of Mathematics and Natural Science at the Ilmenau University of Technology (TU Ilmenau, Germany), there is a vacancy for a PhD position as part of a large-scale project called UrbanAIR, funded by the European Union’s HORIZON Research and Innovation Programme.
UrbanAIR aims to develop a Digital Twin for Climate-Resilient Urban Planning. This digital twin will support decision-makers in addressing urban design challenges related to atmospheric heat and air quality, ultimately enhancing the health and socio-economic well-being of citizens impacted by climate change.
Your tasks include the following responsibilities:
- Engage in mathematical research and algorithmic development, contributing to several work packages within the Urban Air Project.
- Publish findings in renowned journals and aim to complete your PhD within the fixed-term employment period.
- Participate in and contribute to the organization of events within the Urban Air Project.
- Assist in supervising theses and engage actively in academic self-governance.
- Present research at conferences and undertake short stays with collaboration partners abroad.
Your Profile
Necessary qualifications include:
- A completed university degree in mathematics, computer science with a mathematical focus, or a related field.
- Solid knowledge in data assimilation, particularly in particle filtering, as well as in data science, machine learning, and statistics.
- Good knowledge in Mathematics of Data Science relevant to research and teaching.
- Excellent written and spoken proficiency in English.
- Very good to good programming skills, especially in Python and MATLAB.
Desirable competencies include:
- Commitment, enthusiasm, an independent working style, initiative, and strong teamwork skills.
What We Offer You:
- Attractive remuneration according to collective agreement (TV-L) including a special annual payment.
- Vacation entitlement of 30 days in the calendar year plus additional days off on 24/31 December.
- Flexible working time model.
- VBL pension scheme in the public sector.
From individual advancement with a wide range of continuing education opportunities to a variety of health and recreational offerings, you can expect an appreciative working environment at TU Ilmenau.
The university emphasizes innovative teaching and interdisciplinary approaches. It identifies with Humboldt’s ideals and pursues the vision of a cosmopolitan campus family.
Severely disabled applicants with essentially identical professional suitability will be preferentially selected.
For further information, please contact Univ.-Prof. Dr. Jana de Wiljes, Phone +49 3677 69 3259.
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PhD position (f/m/d) - Department of Mathematics and Natural Science - Mathematics of Data Scie[...] Arbeitgeber: Technische Universität Ilmenau
Kontaktperson:
Technische Universität Ilmenau HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: PhD position (f/m/d) - Department of Mathematics and Natural Science - Mathematics of Data Scie[...]
✨Tip Number 1
Make sure to familiarize yourself with the UrbanAIR project and its objectives. Understanding the project's goals will help you articulate how your skills in data science and mathematics can contribute to its success during interviews.
✨Tip Number 2
Engage with current research in data assimilation, particularly in particle filtering. Being able to discuss recent advancements or challenges in this area will demonstrate your expertise and passion for the field.
✨Tip Number 3
Network with professionals in the field of mathematics and data science. Attend relevant conferences or workshops where you can meet potential collaborators or mentors who can provide insights into the PhD position and the UrbanAIR project.
✨Tip Number 4
Prepare to showcase your programming skills, especially in Python and MATLAB. Consider working on a small project or contributing to open-source projects that highlight your coding abilities, as practical examples can make a strong impression.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: PhD position (f/m/d) - Department of Mathematics and Natural Science - Mathematics of Data Scie[...]
Tipps für deine Bewerbung 🫡
Understand the Project: Familiarize yourself with the UrbanAIR project and its objectives. This will help you tailor your application to demonstrate how your skills and experiences align with the project's goals.
Highlight Relevant Experience: Emphasize your background in mathematics, data science, and programming, particularly in Python and MATLAB. Provide specific examples of your work in these areas to showcase your qualifications.
Craft a Strong Motivation Letter: Write a compelling motivation letter that outlines your passion for the field, your research interests, and why you want to join TU Ilmenau. Make sure to connect your goals with the aims of the UrbanAIR project.
Proofread Your Application: Before submitting, carefully proofread your CV, motivation letter, and any other documents. Ensure there are no grammatical errors and that your application is clear and professional.
Wie du dich auf ein Vorstellungsgespräch bei Technische Universität Ilmenau vorbereitest
✨Prepare Your Research Background
Make sure to familiarize yourself with the UrbanAIR project and its objectives. Be ready to discuss your previous research experiences, especially those related to data assimilation, machine learning, and statistics, as these are crucial for the role.
✨Showcase Your Programming Skills
Since good programming skills in Python and MATLAB are essential, prepare to discuss specific projects or tasks where you utilized these languages. If possible, bring examples of your code or projects to demonstrate your proficiency.
✨Demonstrate Teamwork and Initiative
Highlight instances where you successfully collaborated with others on research projects or academic events. Emphasize your ability to work independently while also being a proactive team member, as this is highly valued in the department.
✨Practice Your Presentation Skills
As presenting research at conferences is part of the role, practice explaining your research clearly and concisely. Be prepared to answer questions and engage in discussions about your findings and methodologies.
