field_remote_option

field_job_employment_type

job_industry

field_job_occupational_field_parents_all

field_job_experience

job_organization_name

PhD Position / Research Assistant (f/m/d) 
Analysis for lidar-based minute-scale power forecasting of Offshore Wind Farms 
The increasing share of renewable energy in today's energy system drives the need for continuous power forecasts at the minute scale. Such forecasts are important for ensuring grid stability, reducing costs associated with feed-in management, and supporting electricity trading. 
Your tasks 
We use scanning Doppler wind lidars to characterise the inflow several kilometres ahead of offshore wind farms, enabling reliable forecasting of wind turbine power for up to 30 minutes. The accurate prediction of so-called 'wind ramps', i.e. strong and sudden changes in wind speed or direction, is particularly crucial. To make lidar-based forecasts more practical for industrial applications, they need further development, particularly concerning the forecast horizon, measurement setup, measurement trajectories, and the prediction of wind farm effects. Among others, your tasks will comprise:
 processing large amounts of data by combining lidar measurements, meteorological information, and operational data from wind farms, 
 further developing forecasting methods and implementing and validating the developed forecasting algorithms (physics-based and physics-informed machine learning) for real-time applications. 
 analysing the uncertainty of input data and forecasts and developing methods to mitigate or account for these uncertainties. 
 supporting the operation of extensive offshore measurement campaigns, 
 presenting scientific results at international conferences and through peer-reviewed publications to extend your specific network, 
 cooperating closely with the researchers at ForWind and the other industrial and scientific partners in different research projects.
Your profile 
Requirements for employment include:
 a qualifying university master's degree in Physical Science, Mechanical or Aerospace Engineering, Renewable Energy or equivalent, 
 profound knowledge and relevant experience in handling and analysing large data sets and statistical analysis, 
 comprehensive skills with measurement techniques and uncertainty estimation, 
 knowledge in forecasting methods and machine learning 
 extensive experience in programming with Python. 
 high motivation and the ability to work jointly on a complex research topic. 
 fluency in communicating and reporting in English.
Your benefits 
We offer you the opportunity to develop your scientific career in a young and lively academic environment. You will be working in the WindLab - one of the university's most modern office and lab spaces - while you will also have the opportunity to do flexible and mobile work. Your pathway towards the PhD is actively supported by, e.g.,
 multidisciplinary cooperation with other researchers at ForWind and Fraunhofer IWES in Oldenburg, 
 direct collaboration with industry while maintaining the links with our national and international partners in academia, including a PhD network, 
 optional secondment at an international research institute 
 development of personal, scientific, and teaching skills through an individual training programme and selected teaching tasks, 
 opportunities to present scientific results at international conferences and through peer-reviewed publications to extend your specific network, 
 structured supervision of the PhD process.
Further, the university fosters a family-friendly working environment and offers a family service centre and on-campus children's daycare. 
The employment is initially limited to three years. The payment is based on the collective agreement for the public service in the German federal states, TV-L E13, for a 75% position. 
Our standards
 The Carl von Ossietzky Universität Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. 
 Applicants with disabilities will be given preference in case of equal qualification.
Further benefits
 Secure remuneration according to collective agreement 
 30 days vacation 
 Company pension scheme 
 Further training opportunities 
 Flexible working hours 
 Health management 
 Mobile working 
 Compatibility of career and family
Further information on the research environment 
Wind energy research at the Carl von Ossietzky Universität Oldenburg has gained international recognition by its integration into ForWind - Center for Wind Energy Research of the Universities of Oldenburg, Hannover and Bremen and the national Wind Energy Research Alliance of the German Aerospace Center (DLR), Fraunhofer Institute for Wind Energy Systems (IWES) and ForWind. 
At ForWind, we value and maintain collaboration between our research groups and partner institutions, including members of the European Academy of Wind Energy. In Oldenburg, our 50 researchers from physics, meteorology, and engineering are collaborating at the »Research Laboratory for Turbulence and Wind Energy Systems«, which is centred on wind physics. Our mission is to develop a deeper understanding of the atmospheric and wind power plant flow physics required to meet the global demand for clean, affordable electricity. Therefore, we conduct laboratory experiments, free-field measurements and HPC-based numerical simulations. The main topics include the description and modelling of wind turbulence, the analysis of interactions of turbulent atmospheric wind flow and wind energy systems, as well as the control of wind turbines and wind farms. The covered scales range from small-scale turbulence up to meteorological phenomena. Our research facilities comprise three turbulent wind tunnels, various equipment for free-field measurements at on- and offshore wind farms and a high-performance computing cluster. Almost all our projects combine analyses at more than one of these infrastructures. For instance, virtual lidar measurements can be performed in simulated three-dimensional flow fields to verify the analysis algorithms. Our multi-lidar systems, equipped with up to three scanning lidars, are particularly important for the abovementioned research. 
Further information is available at <a href="http://www.forwind.de/en/" target="_blank">www.forwind.de/en/</a> and. <a href="https://uol.de/en/physics/research/we-sys" target="_blank">https://uol.de/en/physics/research/we-sys</a>. 
For questions regarding this job opportunity, please contact Prof. Dr. Martin Kühn at +49(0)441/798-5061 or preferably by email at <a href="mailto:martin.kuehn@uni-oldenburg.de" target="_blank">martin.kuehn@uni-oldenburg.de</a>. 
Contact 
Please submit your application via email by 31.01.2026 to 
<a href="mailto:application.wesys@uni-oldenburg.de" target="_blank">application.wesys@uni-oldenburg.de</a> 
Please submit your application electronically as one PDF file to the University of Oldenburg, Faculty V, Institute of Physics, ForWind - Center for Wind Energy Research, Research Group Wind Energy Systems, Prof. Dr. Martin Kühn, Küpkersweg 70, 26129 Oldenburg, Germany and include reference #ACA125. 
The PDF file must include either in English or German:
 A letter motivating your application. 
 Curriculum vitae 
 Grade transcripts and BSc/MSc diplomas 
 Employment references
A second PDF file containing your Master's Thesis and relevant research papers (if available) is an optional attachment. We are looking forward to receiving your application. 
<a href="http://www.uol.de" target="_blank">www.uol.de</a>

PhD Position / Research Assistant (f/m/d) - Analysis for lidar-based minute-scale power forecasting of Offshore Wind Farms

Universität Oldenburg Logo 
Postdoc (f/m/d) 
Remote sensing for analysing flow physics of offshore wind farm clusters 
Future energy systems will rely on large offshore wind farm clusters with hundreds of turbines. An enhanced understanding of the energy conversion process at various meteorological and grid conditions is crucial for the further expansion of offshore wind. There is a growing academic and industrial interest in utilising such knowledge for improved power performance, load control, mitigation of wake losses, power forecasts and auxiliary grid services. 
Your tasks 
Your main objective is to scientifically advance the application of different remote sensing techniques, e.g., scanning lidar and radar, SAR (Synthetic Aperture Radar), to develop and validate improvements in the design and operation of offshore wind farm clusters. Among others, your tasks will comprise: 
developing lidar and radar scanning strategies in the field and analysing virtual measurements in numerical wind fields, 
analysing cluster wake mitigation strategies and atmospheric phenomena (e.g. coherent structures, wind ramps, low level jets, turbulent-nonturbulent transition) at different meteorological conditions, 
enhancing forecasting methods and implementing forecasting algorithms for real-time applications. 
supporting extensive offshore measurement campaigns, 
processing large amounts of data by combining remote sensing measurements, meteorological information, and operational wind farm data, 
cooperating closely with wind farm operators and researchers from different fields at universities and institutes. 
project management, grant application and teaching tasks 
Your profile 
Requirements for employment include: 
PhD degree in physical or engineering sciences, 
university master's degree in Physical Science, Mechanical or Aerospace Engineering, Renewable Energy or equivalent, 
profound knowledge and relevant experience in handling and analysing large data sets and statistical analysis, 
comprehensive skills with measurement techniques and uncertainty estimation, 
knowledge in forecasting methods and machine learning, 
extensive experience in programming with Python, 
high motivation and the ability to jointly work on a complex research topic, 
fluency in communicating and reporting in English. 
Your benefits 
We offer you the opportunity to develop your scientific career in a young and lively academic environment. You will be working in the WindLab - one of the university's most modern office and lab spaces - while you will also have the opportunity to do flexible and mobile work. Your further scientific qualification is actively supported by, e.g., 
multidisciplinary cooperation with other researchers at ForWind and Fraunhofer IWES in Oldenburg, 
direct collaboration with industry while maintaining the links with our national and international partners in academia, 
optional secondment at an international research institute 
development of personal, scientific, and teaching skills through an individual training programme and selected teaching tasks, 
opportunities to present scientific results at international conferences and through peer-reviewed publications to extend your specific network. 
Further, the university fosters a family-friendly working environment and offers a family service centre and on-campus children's daycare.
The employment is initially limited to three years. The payment is based on the collective agreement for the public service in the German federal states, TV-L E13, for a 100% position.
Our standards 
The Carl von Ossietzky Universität Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. 
Applicants with disabilities will be given preference in case of equal qualification. 
Further benefits 
Secure remuneration according to collective agreement 
30 days vacation 
Company pension scheme 
Further training opportunities 
Flexible working hours 
Health management 
Mobile working 
Compatibility of career and family 
Further information on the research environment 
Wind energy research at the Carl von Ossietzky Universität Oldenburg has gained international recognition by its integration into ForWind - Center for Wind Energy Research of the Universities of Oldenburg, Hannover and Bremen and the national Wind Energy Research Alliance of the German Aerospace Center (DLR), Fraunhofer Institute for Wind Energy Systems (IWES) and ForWind. 
At ForWind, we value and maintain collaboration between our research groups and partner institutions, including members of the European Academy of Wind Energy. In Oldenburg, our 50 researchers from physics, meteorology, and engineering are collaborating at the »Research Laboratory for Turbulence and Wind Energy Systems«, which is centred on wind physics. Our mission is to develop a deeper understanding of the atmospheric and wind power plant flow physics required to meet the global demand for clean, affordable electricity. Therefore, we conduct laboratory experiments, free-field measurements and HPC-based numerical simulations. The main topics include the description and modelling of wind turbulence, the analysis of interactions of turbulent atmospheric wind flow and wind energy systems, as well as the control of wind turbines and wind farms. The covered scales range from small-scale turbulence up to meteorological phenomena. Our research facilities comprise three turbulent wind tunnels, various equipment for free-field measurements at on- and offshore wind farms and a high-performance computing cluster. Almost all our projects combine analyses at more than one of these infrastructures. For instance, virtual lidar measurements can be performed in simulated three-dimensional flow fields to verify the analysis algorithms. Our multi-lidar systems, equipped with up to three scanning lidars, are particularly important for the abovementioned research.
Further information is available at <a href="http://www.forwind.de/en/" target="_blank">www.forwind.de/en/</a> and <a href="https://uol.de/en/physics/research/we-sys" target="_blank">https://uol.de/en/physics/research/we-sys</a>. 
For questions regarding this job opportunity, please contact Prof. Dr. Martin Kühn at +49(0)441/798-5061 or preferably by email at <a href="mailto:martin.kuehn@uni-oldenburg.de" target="_blank">martin.kuehn@uni-oldenburg.de</a>.
Contact 
Please submit your application via email by 31.01.2026 to <a href="mailto:application.wesys@uni-oldenburg.de" target="_blank">application.wesys@uni-oldenburg.de</a>
Please submit your application electronically as one PDF file to the University of Oldenburg, Faculty V, Institute of Physics, ForWind - Center for Wind Energy Research, Research Group Wind Energy Systems, Prof. Dr. Martin Kühn, Küpkersweg 70, 26129 Oldenburg, Germany and include reference #ACA124.
The PDF file must include either in English or German: 
A letter motivating your application. 
Curriculum vitae 
Grade transcripts and BSc/MSc/PhD diplomas 
Employment references 
A second PDF file containing your PhD Thesis and relevant research papers is an optional attachment. 
We are looking forward to receiving your application. 
<a href="http://www.uol.de" target="_blank">www.uol.de</a>

Postdoc (f/m/d) - Remote sensing for analysing flow physics of offshore wind farm clusters

<ul><li>Reparatur von Spritzgießwerkzeugen</li><li>Durchführung geplanter Wartungen an SG-Werkzeugen</li><li>Mitwirkung bei KVP-Projekten</li><li>Arbeiten an konventionellen Maschinen wie Bohr-, Fräs- und Drehmaschinen</li><li>Bereitschaft zur Übernahme der Rufbereitschaft</li></ul>

Werkzeugmechaniker (m/w/d)

Die Laake GmbH produziert seit 1930 exklusive Pferdestalleinrichtungen sowie hochwertige Türen und Tore für den nationalen und internationalen Markt. Wir stehen für Qualität, Präzision und handwerkliche Exzellenz. Als Familienbetrieb legen wir großen Wert auf Teamgeist, flache Hierarchien und persönliche Betreuung. Werde Teil unseres Erfolgs und gestalte Produkte, die Bestand haben! <ul><li>Eigenverantwortliches Vorbereiten, Bearbeiten und Zusammenfügen von Stahl- und Edelstahlkonstruktionen</li><li>Fertigung von kundenspezifischen Pferdeboxen, Türen, Toren, Fenstern und weiterem exklusiven Zubehör</li><li>Schweißen von Baugruppen und einzelnen Bauteilen nach Zeichnungen (MAG erforderlich, WIG von Vorteil)</li><li>Selbstkontrolle der gefertigten Baugruppen unter Einhaltung der hohen Qualitätsanforderungen</li><li>Verantwortung für präzise und hochwertige Ergebnisse, die unsere Kunden direkt begeistern</li></ul> <ul><li>Abgeschlossene Ausbildung in einem Metallberuf (z. B. Konstruktionsmechaniker, Metallbauer, Schlosser oder Schweißer)</li><li>MAG-Schweißkenntnisse erforderlich; WIG-Schweißen von Vorteil</li><li>Gutes technisches Verständnis und ein Auge für Details</li><li>Selbstständige, zuverlässige und strukturierte Arbeitsweise</li><li>Teamgeist und professionelles Auftreten</li></ul>

Metallbauer (m/w/d) - Gestalte exklusive Pferdestalleinrichtungen im Familienbetrieb

<ul>
<li>Assistenz im ambulanten eigenen OP (Springer/Instrumentierende)</li>
<li>Koordination der Patiententermine</li>
<li>Patientenbetreuung vor und nach der Behandlung</li>
<li>Bearbeitung von telefonischen Anfragen</li>
<li>Empfang von Patienten</li>
<li>Beratung und Ausstellen von Formularen</li>
</ul>

Medizinische/r Fachangestellte/n oder OTA (w/m/d)

<ul> 
 <li>Tarif­liche Ver­gütung inklu­sive ver­mögens­wirk­samer Leis­tungen</li> 
 <li>30 Tage Erho­lungs­urlaub und 5 Tage Bildungs­urlaub</li> 
 <li>Weihnachts- und Urlaubs­geld</li> 
 <li>Zuschläge für Über­stunden und Schicht­arbeit von mindestens&nbsp;25&nbsp;%</li> 
 <li>35-Stunden-Woche von&nbsp;Montag bis Freitag&nbsp;– mit früh­zeitigem Feier­abend am Freitag</li> 
 <li>Täg­lich frisches Essen im eigenen Werks­restaurant „Dunilicious“</li> 
 <li>Zuschuss zum Fitness­studio und Fahrrad­leasing</li> 
 <li>Mitarbeiter­rabatte bei Duni und vielen Kooperations­partnern</li> 
</ul> <ul> 
 <li>Bedienung und Über­wachung der Servietten­maschine im Bereich Volumen­pro­duktion (Uni-Servietten)</li> 
 <li>Eigen­stän­dige Behe­bung tech­nischer Störungen zur Sicher­stellung eines reibungs­losen Produk­tions­ablaufs</li> 
 <li>Selbst­stän­diger Umbau und Rüsten der Anlage bei Produkt­wechseln</li> 
 <li>Sicher­stellung der Produktions­qualität und Ein­hal­tung von Vor­gaben</li> 
 <li>Unter­nehmerisches Arbeiten bei der Auf­trags­abwick­lung – eigen­ver­ant­wort­liche Ent­schei­dungen zur Produk­tivi­täts- und Quali­täts­steigerung</li> 
 <li>Aktive Mit­wir­kung an Ver­besserungs­prozessen</li> 
 <li>Dokumen­tation deiner Arbeit im MES-System</li> 
 <li>Ein­hal­tung von Sicher­heits-, Hygiene- und Qualitäts­standards</li> 
 <li>Zusammen­arbeit mit den&nbsp;Fach­bereichen und dem Produktions­team</li> 
</ul> <ul> 
 <li>Du bringst tech­nisches Ver­ständ­nis sowie erste prak­tische Erfahrung aus einem tech­nischen Berufs­umfeld mit, z.&nbsp;B. hinsichtlich Maschinen- und Anlagen­führung, Indus­trie­mecha­nik, Mecha­tronik, Produk­tions­technik oder ver­gleichbaren Bereichen</li> 
 <li>Der Umgang mit Maschinen und tech­nischen Anlagen fällt dir leicht und du arbeitest zu­ver­lässig, struk­turiert sowie qualitäts­bewusst</li> 
 <li>Du bist bereit, im 3‑Schicht-System zu arbeiten</li> 
 <li>Team­fähig­keit, Zuver­lässig­keit und Engage­ment zeichnen dich aus</li> 
 <li>Du hast Lust, Neues zu lernen, und bringst eine hohe Lern­bereit­schaft sowie Interesse an persön­licher und fach­licher Weiter­ent­wick­lung mit</li> 
</ul>

Anlagenführer (m/w/d)

<ul>
 <li>Betreuung und Überwachung der Instandhaltung des Schulgebäudes sowie der Außenanlagen.</li>
 <li>Durchführung von Kleinreparaturen und Wartungsarbeiten.</li>
 <li>Sicherstellung von Ordnung, Sauberkeit und Sicherheit auf dem Schulgelände.</li>
 <li>Unterstützung von schulischen Veranstaltungen.</li>
 <li>Gestaltung und Pflege der Grünanlagen.</li>
 <li>Überwachung der technischen Anlagen, wie Heizung, Sanitär oder Elektroinstallationen.</li>
 <li>Organisation von Wartungs- und Reparaturarbeiten durch externe Firmen.</li>
 <li>Schließ- und Öffnungsdienst für die Gebäude.</li>
 </ul>
 Die genannten Aufgaben stellen lediglich Schwerpunkte dar und sind nicht abschließend.

Hausmeister:in (d/m/w)

<ul>
 <li>Du überwachst die Schwimmbecken und gewährleistet damit die Sicherheit unserer Gäste.</li>
 <li>In Notfällen bist du bereit Erste-Hilfe und Rettungsmaßnahmen zu leisten.</li>
 <li>Du unterstützt die Badleitung bei der Wartung und Pflege technischer Anlagen.</li>
 <li>Du kontrollierst die Wasserqualität und die Einhaltung von Hygiene- und Sicherheitsvorschriften.</li>
 <li>Du trägst dazu bei, dass sich Familien, Kinder und Sportbegeisterte bei uns wohlfühlen und betreust und berätst die Badegäste.</li>
 <li>Du bist dafür zuständig, bei der Organisation des täglichen Badebetriebs zu unterstützen.</li>
 <li>Weiter gehören zu deinen Aufgaben, die Vor- und Nachbereitungsarbeiten zur Badesaison.</li>
 <li>Du bist die Vertretung der Badleitung bei Abwesenheit.</li>
 </ul>

Fachangestellte:n für Bäderbetriebe (d/m/w)

<ul><li>Sie verantworten die optimale Einsatzfähigkeit unserer Fahrzeuge und sorgen für einen technisch einwandfreien Zustand.</li><li>Dank Ihnen sind unsere Fahrzeuge stets im besten Zustand und einsatzbereit.</li><li>Sie pflegen und warten diese nicht nur, sondern garantieren die Vollständigkeit von Zubehör und Papieren.</li><li>Sie sind der verantwortliche Fahrzeugpfleger, übergeben die Fahrzeuge an unseren Kunden und sind Ansprechpartner für Lieferanten in Munster&nbsp;und angrenzenden Standorten.</li><li>Die Rücknahme der Fahrzeuge vom Kunden wird ebenfalls durch Sie sichergestellt.</li></ul>

Fahrzeugpfleger (m/w/d) in Munster

<ul>
<li>Interner Ansprechpartner für steuerliche Themen, Investitionen und Sondersachverhalte</li>
<li>Durchführung des Zahlungsverkehrs</li>
<li>Bearbeitung der Reisekostenabrechnungen</li>
<li>Mitwirkung bei den Monats- und Jahresabschlüssen</li>
<li>Ansprechpartner für Wirtschaftsprüfer und Steuerberater</li>
<li>Aktive Mitwirkung bei weiteren Projekten, u.a. Digitalisierung von Geschäftsabläufen</li>
<li>Selbstständige Bearbeitung der laufenden Finanzbuchhaltung, inkl. der Verbuchung aller Geschäftsvorfälle im Haupt- und Nebenbuch</li>
<li>Erstellung der Unternehmen- und Liquiditätsplanung und Monatsberichten</li>
</ul>

2.096 Jobs in Niedersachsen