PhD in Scalable Safe AI for Semiconductor Metrology

Industry context and motivation.
Pretrained foundation models bring lots of potential in semiconductors metrology. Multimodal foundation models combining data from multiple metrology sources, enable high accuracy in the early stages of next generation manufacturing process, and across many different usecases. As the process matures and enters high volume manufacturing, these models can be specialized through efficient fine-tuning and distillation to improve throughput in terms of both compute and data acquisition, while maintaining guaranteed performance on critical failure modes.

This PhD project focuses on developing data-efficient methods for fine-tuning and distillation under strict (customer fab) data and privacy constraints while providing performance guarantees for specific downsteam tasks.

Customer data can be indeed highly constrained. In particular, customers might not allow data to leave the fab, and datasets that are available can be limited and imbalanced.

The model performance requirements are expected to evolve over time – from early research to high-volume manufacturing. ML models should be able to adapt to changing accuracy, speed, and defect-detection requirements across the full lifecycle of a process node, and should cover a wide variety of use cases, across different customers, with minimal adaptation.

Developing beyond state-of-the-art techniques enabling such ML behaviour of ML would have a profound impact – facilitating more robust metrology models and significantly faster time-to-recipe across the maturity stages of a semiconductor process node.

Research settings:

PhD candidate will be formally employed with the Data and AI cluster at the Department of Mathematics and Computer Sciece and supervised by prof.dr. Mykola Pechenizkiy and dr. Ghada Sokar. The project is done in tight collaboration with dr. Jan Jitse Venselaar and dr. Jacek Kustra, of the ASML AI Research Team. The PhD candidate is expected to structurally spend time at both TU/e and ASML locations.

The project is part of NWO TTW Perspectief funded research program Foundation for Industry (FIND) - Large AI models for a resilient high-tech industry providing further opportunities for collaboration.

The project has access to the national computing infrustracture, TU/e HPC cluster SPIKE-1, ASML HPC cluster, ASML datasets, and potentially custom data through collaboration with e.g. IMEC.

Postdoc Position: Contemporary Arab Thought

Arab societies have witnessed tremendous shifts over the past decade-and-a-half. From the high hopes nurtured during the Arab Spring to the violent wars in Syria, Yemen, Libya and Gaza, the Arab public has experienced a period of immense upheaval.

These societal developments are echoed at the intellectual level. As a younger generation of intellectuals from various backgrounds – writers, artists, podcasters, journalists and academics – is entering the fray, their work will no doubt reflect these experiences. Reacting to the widely sensed disconnect between the intellectuals of the pre-2011 era and the ideals of the revolutions, many are seeking to break with the 20th century debates about how to balance the demands of (Western) modernity with the need to preserve cultural authenticity. Disillusioned by the discrepancy between the West’s liberal, democratic values and its policies in the region, Arabs are looking for alternative ideas and frames for understanding themselves, their societies, and their place in the world.

At the same time, the centres where intellectual work is taking place are shifting. The growing confidence of the Gulf states is translating into state-sponsored cultural projects that attract academics and artists from around the world and specifically from other Arab countries. Additionally, as many from the Arab world have sought refuge abroad, Arab thought is no longer exclusively made in the Arab world. Using modern technologies, it has become easier than ever to build global networks of intellectuals who can enter a common conversation as easily from Berlin as they can from Baghdad.

As a postdoctoral researcher you will research these changes as they are happening. You will look at a particular aspect of contemporary Arab thought since 2011 of your choosing and use it as a lens for taking in the broader developments in intellectual as well as political and social life in the Arab world. In cooperation with the project coordinator, Harald Viersen, you will strive to publish at least one peer-reviewed article exploring this burgeoning field and work towards preparing a grant application that will allow for more in-depth future study.

Senior lead developer ServiceNow CSM

Binnen het ServiceNow platformteam werken we aan een belangrijk project om de onderwijsondersteuning onder te brengen in ServiceNow CSM. Naast student-onderwijs zaken maken ook HR, IT, Finance, Communicatie & Marketing gebruik van het platform binnen HRSD, ITSM, ITOM en CSM.

Als senior ontwikkelaar binnen het ServiceNow platformteam speel je een actieve rol in nieuwe projecten en werk je continu aan het verbeteren van o.a. de onderwijsprocessen binnen CSM. Daarnaast ben je een coach en sparringpartner voor junior collega’s, die jij helpt groeien binnen het ServiceNow-landschap

Jouw taken

• Ontwerp & ontwikkelen van nieuwe functionaliteit op basis van een Agile/SCRUM aanpak. Dit alles in ServiceNow op proces, AI, UI (Workspace), integratie of portal gebied
• Het afhandelen van complexe problemen op het ServiceNow platform
• Het meedenken in de continue verbetering van de onderwijsprocessen en daarmee een vertaling maken naar de technische ondersteuning in het systeemlandschap
• Het meedenken in de continue verbetering van de overige processen binnen CSM voor casemanagement voor Finance, Universiteitsbibliotheek en Communicatie & Marketing
• Meedraaien in (grote) projecten als senior/ lead developer
• Coachen en begeleiden collega’s

Student Assistent Huisvesting International studenten

Jouw taken

• het beantwoorden van vragen van internationale studenten via de telefoon, chat en via de mail
• administratieve taken, invoeren van gegevens in VU Systemen
• bijdragen aan een gastvrije en internationale sfeer
• samenwerken met de vaste medewerkers van het Services team