Research Theme Coordinator: Empowering the Young

The Behavioural Science Institute invites applications for a temporary position focused on our research theme, ‘Empowering the Young’. You will have a central coordinating role in shaping the visibility and internal cohesion of the theme during an intensive development phase. You will be embedded within a vibrant interdisciplinary research institute with a strong commitment to open science, team science and societal impact.

The position involves three main tasks:

1. Inventory and Thematic Mapping of Ongoing Research.
   You will systematically map ongoing research projects within the institute that align with Empowering the Young. This involves consulting BSI programme leaders, identifying thematic synergies and producing a clear internal overview that can serve strategic, communication and funding purposes.
2. Development of the Empowering the Young Web Presence.
   In collaboration with BSI colleagues, you will help re-design and structure the BSI website in relation to the theme ‘Empowering the Young’. This includes structuring project overviews and activities within the theme and ensuring coherent presentation of the theme’s mission, people and impact.
3. Organisation of an Empowering the Young Seed Grant Festival.
   You will take the lead in organising a festival-style event in which recipients of internal seed grants present and pitch their project results. This includes conceptualising the format, coordinating speakers, managing logistics and ensuring strong attendance and impact. The event is intended to boost the Empowering the Young theme.

Mechanisch Ontwerper Machinebouw

• Je ontwerpt en tekent je project uit in INVENTOR en bespreekt dit samen met de klant.
• Je kan rekenen op technisch advies van de projectleider.
• Je levert finaal je tekeningen af en doet prijsaanvragen en bestelt de benodigde materialen, in overleg met de projectleider.
• Je volgt je project volledig op gaande van het opmeten bij de klant tot de uitvoering in de werkplaats en montage bij de klant.

Elektrisch Tekenaar

• Ontwerpt elektrische installaties en borden in E-Plan en Autocad;
• Uitleg aan de bordenbouwer en/of helpt mee om de schakelkasten te bouwen;
• Ondersteuning aan de monteurs in service situatie en doet de voorbereidingen van de elektrische werkzaamheden op de werf;
• Opmaak van P&ID – en instrumentatielijsten;

Administratief Boekhoudkundig bediende

• Opstellen en verwerken van (voorschot)facturen en registreren van deelbetalingen
• Opvolgen en controleren van vorderingsstaten en verrekeningen
• Administratieve ondersteuning bieden bij contractbeheer
• Meewerken aan de opmaak en opvolging van financiële rapportages
• Financiële opvolging van projecten, inclusief budgetten, kosten en opbrengsten
• Controleren en bijhouden van financiële projectgegevens en administratie

Software Engineer Decentralized and Confidential Learning on Structure Data

Job description

Federated learning (FL) is one of the emerging decentralized learning paradigm, which features on privacy protection by design. Under FL, machine learning models, e.g., LightGBM, and deep models, can be directly learned at the data premise, without centralized collecting data. In this research project, the main focus is on the tabular data and time series data due to its dominant presence in industries.

The research objective of this PhD project is to derive scalable decentralized machine learning algorithms for tabular data.

The key tasks of this project are: (i) designing privacy-preserving data exchanging strategies, (ii) deriving vertical and horizontal federated learning for tabular and time series data (iii) deriving generative models for tabular data, e.g., generative adversarial networks (iv) designing decentralized training framework for tabular and time series data synthesizer.

Job requirements
We are looking for candidates who satisfy the following requirements: an MSc degree with excellent results in Computer Science, preferably in distributed systems, theory, or related areas

• MSc degree in Computer Science
• 0-3 years of relevant experience.
• Experience in writing python and conducting scientific evaluations through experimentation
• Profound knowledge in deep machine learning algorithms and time series models
• Experience in designing and developing large scale distributed learning systems

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty of Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.