3 Phds, Digital Twins, Operational Analytics, and Reconfigurable Computing

2 weken geleden

Amsterdam Zuid, Nederland Vrije Universiteit Amsterdam Voltijd

**Your function**:
**PhD Position 1: Digital Twin-Aided Design of Massive Virtual Worlds Running on Kubernetes**
Massive virtual worlds are online environments where users share joint experiences for entertainment, education, and commerce. The most popular examples of online worlds are multiplayer games like Minecraft and Fortnite, with player-modifiable worlds enabling rich interaction. Next-gen virtual worlds have tighter performance requirements as they are accessed from Virtual Reality headsets and support modifiable virtual environments (MVEs). Performance problems can directly cause the user to be nauseous. We expect next-gen virtual worlds that take advantage of the compute continuum from the user’s device to a large datacenter.

Experimentation across the compute continuum with diverse devices, large datacenters, large-scale networks, and deep software stacks is expensive and complex. Digital twins solve this problem by replicating the real-world infrastructure in software and responding to changes the same way the original infrastructure would. This enables users to ask counterfactual questions ranging from simple, “What is the performance impact of new hardware?”, to complex, “How will the new AI software stack change my profit margin?”

**PhD Position 2: 6G-Ready Application Testing and Lifecycle Management Using Operational Data Analytics**

**PhD Position 3: Reconfigurable Computing and Simulation for heterogeneous, future-proof, ICT infrastructures.**
Reconfigurable computing architectures, such as Field-Programmable Gate Arrays (FPGAs), Coarse-Grained Reconfigurable Arrays (CGRAs), and wafer-scale chips, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key challenge.
- How can reconfigurable computing devices be seamlessly integrated into heterogeneous deployment and leveraged in large-scale computing workflow?

**Your profile**:

- You have completed a Master in Computer Science, Computer Engineering, or a related Master's programme. The Master’s degree must have been awarded by the agreed starting date of the PhD;
- Strong analytical and problem-solving skills
- You have strong oral and written communication skills in English;
- familiarity with computing simulation tools is a plus
- (PhD Position 1) Experience with serverless architectures, multiplayer game design and Kubernetes deployments is a plus.
- (PhD Position 2) background and competencies in computer systems performance analysis and large-scale systems experiments
- (PhD Position 3) Background in parallel and distributed computing is a nice to have. Knowledge of hardware programming, high-level synthesis tools, and reconfigurable computing architectures (e.g., AMD AI Engine, Tenstorrent) is a plus.
- Strong organizational skills and the ability to work both independently and as part of a team.
- You are proactive and enthusiastic about addressing cutting-edge research challenges.

**What do we offer?**:
A challenging position in a socially engaged organisation. At VU Amsterdam, you contribute to education, research and service for a better world. And that is valuable. So in return for your efforts, we offer you:

- a salary of € 2.901,00 (PhD) and maximum € 3.707,00 (PhD) gross per month in the fourth year, for a full-time employment
- an employment contract of initially 18 months. If there is sufficient perspective, this will be extended to a total of 4 years. Your dissertation at the end of the fourth year forms the end of your employment contract.

We also offer you attractive fringe benefits and arrangements. Some examples:

- A full-time 38-hour working week comes with a holiday leave entitlement of 232 hours per year. If you choose to work 40 hours, you have 96 extra holiday leave hours on an annual basis. For part-timers, this is calculated pro rata.
- 8% holiday allowance and 8.3% end-of-year bonus
- solid pension scheme (ABP)
- contribution to commuting expenses
- optional model for designing a personalized benefits package

**About us**:
**About the project and group**

The department of Computer Science has approximately 170 staff members, including 35 tenured staff and approximately 90 Ph.D. students. Much of the research with the department is embedded in the Network Institute of Vrije Universiteit, covering beyond Computer Science and Artificial Intelligence disciplines such as Social Sciences, Humanities, and Economics. The Department also actively participates in Amsterdam Data Science, a collaboration between more than 600 data science researchers from different institutions in Amsterdam. The department has a nationally and internationally visible scientific presence and impact, e.g., in computer systems, software engineering, AI/ML, bioinformatics.

**Faculty of S

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