Payroll- & Data Specialist

Als Payroll- & Data Specialist maak je deel uit van ons payrollteam. Samen zorgen jullie ervoor dat onze medewerkers iedere maand kunnen rekenen op een correcte en betrouwbare salarisverwerking.

Maar jouw rol gaat verder. Je analyseert salaris- en financiële gegevens, onderzoekt afwijkingen, denkt mee over fiscale en arbeidsrechtelijke vraagstukken en helpt onze processen verder te verbeteren. Daarbij werk je nauw samen met collega's binnen HR Services en de afdeling Finance.

We willen de mogelijkheden van data, digitalisering en AI steeds beter benutten. Jij krijgt de ruimte om daarin initiatief te nemen, ideeën te onderzoeken en mee te bouwen aan nieuwe toepassingen binnen het payrollvak.

Ervaring met payroll is daarbij welkom, maar niet noodzakelijk. Heb je bijvoorbeeld een achtergrond in finance, accountancy of bedrijfseconomie en spreekt payroll je aan? Dan bieden we je graag de mogelijkheid om je verder te ontwikkelen tot specialist.

Wat ga je doen?
Je houdt je onder andere bezig met:

• uitvoeren en controleren van de salarisverwerking;
• analyseren van salaris- en financiële gegevens en het signaleren en onderzoeken van afwijkingen;
• vertalen van complexe payroll-, fiscale en financiële vraagstukken naar praktische oplossingen;
• analyseren en verbeteren van werkprocessen;
• samenwerken met de afdeling Finance rondom onder andere journalisering, financiële aansluitingen en verantwoording;
• volgen van relevante fiscale en arbeidsrechtelijke ontwikkelingen en het vertalen daarvan naar onze processen;
• ontwikkelen van data tot bruikbare inzichten en stuurinformatie;
• onderzoeken en toepassen van de mogelijkheden van AI, automatisering en andere innovatieve technologieën binnen payroll en onze dienstverlening.

Key user administratieve processen en systemen

Optimalisering en digitalisering van processen zijn belangrijke thema’s voor de Universiteit Twente en binnen CES. Onze processen worden zoveel mogelijk geautomatiseerd ondersteund en er zijn volop ontwikkelingen op gebied van optimalisatie en innovatie om het onderwijs nog beter te kunnen ondersteunen. De key users administratieve processen en systemen spelen hierin een belangrijke rol.

Wij zoeken versterking voor het functioneel inrichten van nieuwe werkprocessen in Microsoft Dynamics en Osiris en voor de doelgroep professionals in het kader van Leven Lang Ontwikkelen (LLO) en studenten.

Als key user administratieve processen en systemen van de studentinformatiesystemen ben je samen met je directe collega’s verantwoordelijk voor een efficiënte inrichting van het systeem en vervul je een onmisbare spilfunctie tussen het dagelijkse werk van de gebruikers van de systemen en IT.

Je hebt afwisselende taken zoals:

• zorgen voor een optimale inrichting en werking van de gebruikerssystemen voor diverse processen;
• voorbereiden, analyseren, ontwerpen, beheren en evalueren van de processen in het systeem;
• aanspreekpunt voor de aanmeld- en inschrijfprocessen binnen sas voor Microsoft Dynamics en Osiris. als contactpersoon fungeren bij complexe problemen en eventuele calamiteiten tussen de gebruikers en functioneel beheer;
• deelnemen aan verbeter- en implementatieprojecten rond Microsoft Dynamics en Osiris;
• het opstellen van rapportages voor managementinformatie rondom aanmelding en inschrijving;
• testen van nieuwe releases en systeemaanpassingen voor onderwijsontwikkelingen, samen met functioneel beheer;
• het signaleren, beoordelen en oplossen van knelpunten;
• deelname aan en/of aansturing van verbeter- en verandertrajecten;
• het deelnemen aan en uitvoeren van procesanalyses en advisering over procesoptimalisatie, waarbij je samen met de teams verantwoordelijk bent voor het optimaliseren en automatiseren van bestaande en nieuwe processen;
• Je werkt binnen de afdeling SAS met 5 andere medewerkers processen en systemen in een team. In dit team heerst een gezamenlijk verantwoordelijkheidsgevoel. Daarnaast werk je nauw samen met de functioneel beheerders van de CES-afdeling Information Management.

PhD Position: CO2 Desublimation for Cryogenic Carbon Capture

Job description
Carbon capture will play an important role in reducing CO₂ emissions from sectors such as power generation, steel production and cement manufacturing. One promising route is cryogenic carbon capture, in which CO₂ is cooled to very low temperatures and turns directly from gas into solid. This gas-to-solid phase change is called desublimation.

Although cryogenic carbon capture can produce high-purity CO₂ without relying on chemical solvents, the physics of CO₂ desublimation is still not sufficiently understood. In particular, we need to know how the solid layer develops, how it affects heat and mass transfer, and how surface design can improve the efficiency of the process.

As a PhD candidate in the Thermal Conversion and Storage group at the University of Twente, you will investigate CO₂ desublimation under controlled cryogenic conditions. The project is primarily experimental, supported by modelling and data analysis. You will design, build and operate a cryogenic experimental setup in which gas composition, pressure, flow rate and surface temperature can be controlled. Using optical imaging techniques such as back-light imaging and Schlieren, you will study solid CO₂ layer growth and the thermal and concentration boundary layers near the surface.

Your work will contribute to a predictive understanding of CO₂ desublimation and support the development of design guidelines for cryogenic carbon-capture systems.

You will be part of the Department of Thermal and Fluid Engineering at the University of Twente and will work in collaboration with academic and industrial partners, including RWTH Aachen University and Emicap B.V.

As a PhD candidate, you will:

• design, commission and operate a test setup for controlled CO₂ desublimation experiments;
• perform experiments with CO₂ containing gas mixtures at low temperatures;
• use optical diagnostics to visualise and quantify solid CO₂ layer formation, growth and morphology;
• analyse heat and mass transport phenomena during desublimation;
• develop or support modelling approaches that link experimental observations to predictive descriptions of the process;
• investigate the influence of operating conditions, gas composition, flow rate, pressure, surface temperature and surface design;
• collaborate with academic and industrial project partners;
• publish your results in peer-reviewed journals and present them at international conferences;
• contribute to teaching activities within the department for a limited part of your time.

PhD position in Mapping the Modern Electromagnetic Environment: Identifying Stray Currents in Complex, Interaction-Driven Sy...

The rapid electrification and digitalisation of society are creating increasingly complex electromagnetic environments. Fast-switching power electronics in vehicles, buildings, hospitals and farms can generate electromagnetic interference (EMI) that propagates through unexpected conducted and radiated paths. Conventional EMC measurements, typically performed at a single location and moment, provide only limited insight into how such interference behaves at system level.

In this PhD project, you will develop the measurement and analysis methods needed to make these environments observable. You will design and validate a cost-effective, synchronised multi-node sensing system for simultaneous time-domain measurements of voltages, currents, electric fields and magnetic fields, supported by digital signal processing.

Using these synchronised measurements, you will develop methods to correlate information across time, frequency, space and impedance. The aim is to identify interference sources and propagation paths and understand how disturbances spread through complex electrical systems. This work will provide an important foundation for future cognitive EMC systems that can ultimately adapt mitigation measures to changing conditions.

A key application will be dairy farms, where increasing electrification and automation can give rise to stray currents and voltages that are difficult to locate and may affect cow welfare and behaviour. You will perform measurements on farms to determine where these disturbances originate and how they propagate, and use this understanding to investigate practical mitigation, including targeted filtering solutions. In this way, your research can contribute directly to solving a real problem experienced by farmers while advancing the state of the art in EMC.

EngD position: Flexure-joint Integrated Robust Elastic tripping mechanism

High-performance switching equipment requires mechanisms that operate quickly and reliably when needed. This project focuses on a safety-critical mechanism in which a compact actuator triggers a series of cascaded levers. The system must withstand loads in the kilonewton range and operate in a timespan of a few milliseconds. The challenge offers a rich combination of precision engineering, dynamics and robust mechanical design.

Because such equipment may remain inactive for years, it must also operate reliably after long periods of standstill. The project explores whether compliant, flexure-based joints can provide a more predictable alternative to conventional interfaces by enabling motion through controlled elastic deformation. Candidates will have the opportunity to develop and validate innovative concepts that can contribute to a reliable future of dependable energy technology.

Relying on advanced designs of flexure-joints, the applicability of mechanisms with such joints has been increased steadily over the past decades. Their operation with low friction, hysteresis and wear can offer highly predictable and robust performance. However, one of the remaining challenges are applications where the parts and hence also the flexure-joints are exposed to high loads. For reliable operation, the unwanted deformations of the joints should remain small whereas compliance for the intended motion should not be sacrificed. In this way, high accelerations can be realised to enable fast motion.

The possible advantages are particularly evident when robustness has to be guaranteed in systems that should move reliably after being unused for a long time. Conventional sliding or rotation joints can stick, potentially compromising reliable operation. A more predictable and robust solution could be achieved by replacing conventional rotating bearings with flexure joints, which enable motion through elastic deformation and do not rely on sliding or rotating surfaces.

Project objective
The objective of this project is to investigate whether the conventional lever-based tripping mechanism can be replaced by a mechanism based on flexure joints. The proposed compliant mechanism must combine two challenging requirements: it must be capable of blocking motion under high loads, while also enabling an extremely fast release, preferably within several milliseconds.

The investigation will combine numerical modelling and mechanical design with experimental validation. Several mechanism concepts will be analysed to assess their feasibility, followed by the development and testing of a promising concept in a hardware prototype.

The project is structured into three design iterations:

1. In the first phase (8 months) proposed mechanism concepts should demonstrate their ability to block the motion of a part while being subjected to a high force as well as showing a fast release. Numerical analyses support the design evaluation. Hardware test identify strengths and weaknesses of the concepts.
2. The second phase (8 months) involves an iteration to use the lessons learned from the first design to design an improved concept. Furthermore, a larger range of operating conditions is considered, e.g. in terms of temperature range and vibrational loads.
3. The third phase (8 months) aims towards a product related design of the compliant mechanism, which is also tested at the facilities of Siemens Energy.

The assignment will be carried out at the University of Twente.

The candidate should preferably have a solid background in mechanics of materials and precision design of mechanisms. The candidate should be able to collaborate with other members of the multidisciplinary research team at the UT, as well as with design and manufacturing engineers at Siemens Energy.