Phd-teaching Assistant at Tu/e

4 dagen geleden

Eindhoven, Nederland TU Eindhoven Voltijd

**Job description**:

- Are you eager to work on a topic that brings together advanced network visualization and large event sequences anal
- ysis? Contribute to a growing and challenging research field in a five year fully funded PhD-TA journey, investigating complex, multifaceted phenomena as well as industry processes. Then please apply_

“Traditional” visualization of time-changing (or dynamic) networks entails discretizing the time dimension, effectively “slicing” it into equally spaced intervals (e.g., daily, monthly, yearly). Real-life event sequences (e.g., tweets, Whatsapp calls, industry processes, physical contacts), however, present timestamps that do not match any obvious overlaying time structure: therefore, choosing a time resolution to “timeslice” such data is complex and prone to loss of precision. Aggregating events in the same timeslice means losing the exact order of events within it - this, in some contexts like contact tracing, is crucial information. Switching to a continuous time axis presents a two-fold chal
- lenge: algorithms (and network layout techniques in particular) need to tackle this further complexity, possibly being more computationally expensive; plus very few approaches exist for visualizing, exploring, and, ultimately, analyze temporal networks in continuous time. On the other hand, a continuous time axis leaves the full temporal information available to the user, allowing for unlimited manipulation (like a image vector file over a raster image).

In this project, we aim at investigating novel visualization techniques for large event-based graphs, bridging the gap with the research topic of event sequence analysis, offering you the opportunity of building a robust expertise in di

Benefit from a stimulating interdisciplinary environment, combining expertise in Data Science, Data Visualization, Process Mining. As part of our team, you'll receive comprehensive support and mentorship to develop your skills and expertise.
- national conferences - and given the “Teaching Assistant” nature of this position, it is expected to actively contribute to the teaching activities of the group.

**Job requirements**:

- A master’s degree (or an equivalent university degree) in Mathematics or Computer Science.
- Interest in the discipline of Visualization and Visual Analytics.
- Genuine interest in teaching.
- Experience in coding with Javascript/Python and frontend frameworks (React, Angular).
- Knowledge of graph theory and layout algorithms is considered a plus.
- Skills in GPU graphics and computing libraries are considered a plus.
- Good communication and team-working skills.
- You are creative, critical, analytical, motivated, and persistent.
- Fluent in spoken and written English (knowledge of Dutch is not required).

**Conditions of employment**:
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

- Full-time employment for five years, with an intermediate evaluation (go/no-go) after nine months.
- To develop your teaching skills,you will spend 10% of your employment on teaching tasks.
- To gain the competencies and qualities needed to be successful in your PhD and become an independent scientific researcher, TU/e has developed the TU/e PhD Competence Profile.
researcher, TU/e has developed the TU/e PhD Competence Profile.
- Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the _Collective Labour Agreement_ for Dutch Universities, scale P (min. €2,770 max. €3,539).
- A year-end bonus of 8.3% and annual vacation pay of 8%.
- High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
- An excellent technical infrastructure, on-campus children's day care and sports facilities.
- An allowance for commuting, working from home and internet costs.
- Family friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

**About us**

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.

**Information**

Do you recognize yourself in this profile and would you like to know more?

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

**Application**
- Cover letter in which you describe your motivation and qualificat

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