Conducting research for a changing society: This is what drives us at Forschungs­zentrum Jülich. As a member of the Helmholtz Association, we aim to tackle the grand societal challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,100 employees in one of Europe’s biggest research centres and help us to shape change!

Achieving a secure, greenhouse gas-neutral energy supply is one of the greatest challenges of the 21st century. At the Institute for Energy and Climate Research – Techno-Economic Systems Analysis (IEK-3) –, we are researching how possible cost-effective transformation strategies must be designed to achieve this. Become part of our research team and contribute your ideas and creativity to help shape what a future greenhouse gas-neutral energy system could look like.

We are offering a

PhD Position – Expansion Planning of Power Grid under Flexible Distributed Energy Resources

Your Job:

Understanding and assessing electrical power networks is necessitated by the transition to sustainable energy resources in an effort to alleviate climate and humanity-related challenges. In addition, the adaptability of decentralized energy resources has the potential to lower network reinforcement costs. However, coordination between the transmission and distribution systems is essential and challenging in order to exploit the flexibility of distributed energy resources. Therefore, in your doctoral thesis, you will investigate the opportunities and challenges associated with the integration of distributed energy resources in electrical power systems. In doing so, you will investigate various issues, such as: How can transmission and distribution systems be coupled for planning and grid expansions? How can the flexibility provided by distributed energy resources at the distribution level be effectively coordinated with the transmission system? To address these questions, you will further create a power exchange model and perform the following tasks:

• Constructing precise geo-referenced synthetic electrical datasets for transmission and distribution systems
• Combining and further developing the distribution network model and the transmission network model of the IEK-3 model suite to depict the entire electrical power network
• Developing a schema for coordinating the flexibility afforded by distributed energy resources between transmission and distribution grids
• Analyzing the coupled transmission and distribution networks using both top-down and bottom-up methodologies
• Determining cost-effective grid reinforcement for all voltage levels in transmission and distribution systems under various scenarios
• Active participation in the scientific and public discourse (including publication of results in high-impact scientific journals)

Your Profile:

• A completed master’s degree in the field of electrical engineering, informatics, or a related field of study
• Good knowledge of mathematical optimization methods
• Very good knowledge of energy technology and economics
• Proficiency in Python programming language
• High degree of independence and willingness to show great commitment
• Very reliable and conscientious work style
• Fluent written and spoken English; German language skills would be an advantage

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We offer ideal conditions for you to complete your doctoral degree:

• A highly motivated working group as well as an international and interdisciplinary working environment at one of Europe’s largest research establishments
• The opportunity to complete a doctoral thesis within three years through professional supervision and internal support services; time taken to submit the final thesis for the last 16 doctoral students at IEK-3: 2.7–3.4 years
• Outstanding scientific and technical infrastructure
• Opportunity to participate in (international) conferences and project meetings
• Continuous scientific mentoring by your scientific advisor(s)
• Flexible work (location) arrangements, e.g. remote work
• Further development of your personal strengths, e.g., through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs
• 30 days of annual leave and provision for days off between public holidays and weekends (e.g., between Christmas and New Year)
• Working for one of the best employers in Germany – 6th place in the Glassdoor award for employee satisfaction: https://www.glassdoor.de/Award/Beste-Arbeitgeber-Deutschland-LST_KQ0,29.htm
• Targeted services for international employees, e.g., through our International Advisory Services

The position is for a fixed term of three years. Pay will be in line with 75% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally 60% of a monthly salary as special payment (“Christmas bonus”). Further information on doctoral degrees at Forschungszentrum Jülich including our other locations is available at https://www.fz-juelich.de/gp/Careers_Docs .

We welcome applications from people with diverse backgrounds, e.g., in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

We look forward to receiving your application. The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible via our Online Recruitment System!

Questions about the vacancy?

Please feel free to contact us via our contact form. Please note that for technical reasons we cannot accept applications via email.

www.fz-juelich.de

# 6 BEST EMPLOYERS IN GERMANY 2023

Die Hochschule Bremen ist weltoffen und fördert Wissenschaft für die Praxis. Mit rund 70 überwiegend internationalen Studiengängen und innovativen, lebensbegleitenden Studienformen bietet die Hochschule Bremen annähernd 9.000 Studierenden Perspektiven für ihre persönliche Entwicklung und einen erfolgreichen Karrierestart. Mit unserem internationalen Profil haben wir seit Jahrzehnten eine Spitzenstellung unter den Hochschulen der angewandten Wissenschaften. Die Verbesserung der Studienbedingungen und die attraktive Gestaltung von Arbeitsplätzen sind uns besondere Anliegen, die sich in der Entwicklungsplanung der Hochschule widerspiegeln.

An der Hochschule Bremen ist, vorbehaltlich der Mittelfreigabe, zum 01.04.2023 in der Fakultät Elektrotechnik und Informatik eine Stelle als

Doktorand:in (w/m/d) im Bereich Maschinelles Lernen für IoT-Sensordaten

für die Schwerpunktprofessur im Bereich Digitale Tranformation: "Data Science"

Kennziffer: FK4-1-2023, Entgeltgruppe 13 TV-L

mit 50% der wöchentlichen Arbeitszeit (19,6 Std.), ggf. 65% der wöchentlichen Arbeitszeit (25,48 Std.), und befristet auf drei Jahre im Rahmen des Projektes "HSB-BestPROfessur: Bremer Modell zur Gewinnung und Entwicklung von professoralem Personal". Es handelt sich um eine Qualifikationsstelle zur Entwicklung und Durchführung des Promotionsprojektes.

IHR AUFGABENBEREICH

• Entwicklung von Methoden zur Analyse von IoT-Sensordaten, insbesondere Anomalie-Entdeckung in Zeitreihen
• Konzeption und Umsetzung von Prototypen im Kontext von Big Data-Anwendungen
• Publikation und Präsentation von Forschungsergebnissen in Fachzeitschriften, auf Konferenzen und im Rahmen der regionalen Wissenschaftskommunikation
• Mitwirkung beim Aufbau und Weiterentwicklung wissenschaftlicher Netzwerke und Kooperationsbeziehungen zu Praxispartnern
• Übernahme von Lehraufgaben im Umfang von 3,5 SWS im Bereich Data Science bzw. in den Grundlagenfächern der Informatik

IHR PROFIL

• Ein mit überdurchschnittlichem Ergebnis abgeschlossenes Masterstudium/Uni-Diplom im Bereich Informatik oder vergleichbarer Fachrichtung mit Ausrichtung auf IoT-Daten und/ oder Maschinelles Lernen oder vergleichbar
• Hohes Maß an Motivation, Engagement, Ergebnisorientierung und Teamfähigkeit
• Fähigkeit zu selbständiger und eigenverantwortlicher Arbeit in der Forschung
• Analytische Sicht auf komplexe Zusammenhänge und die Fähigkeit zum interdisziplinären Denken
• Programmiererfahrung sowie Erfahrung im Umgang mit Frameworks zur Datenanalyse
• Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift

Wünschenswert sind

• Erfahrungen mit Methoden des Maschinellen Lernens, speziell zur Zeitreihenanalyse
• Erfahrungen mit industriellen IoT-Anwendungen im Kontext von Big Data

UNSER ANGEBOT

• Eine interessante und abwechslungsreiche Tätigkeit in einem internationalen Umfeld in einer weltoffenen Hochschule
• Eine offene Arbeitsatmosphäre
• Flexible Arbeitszeiten an einer familiengerechten Hochschule
• Vielfältige Möglichkeiten für die persönliche und professionelle Weiterbildung
• Ein gefördertes Jobticket für den öffentlichen Personennahverkehr
• Geförderte Firmenfitness in allen qualitrain-Studios

Bei Hochschulabschlüssen, die Sie außerhalb der EU absolvierten, reichen Sie bitte die deutsche Übersetzung und die Bewertung der Zentralstelle für ausländisches Bildungswesen (ZAB) ein. Ersatzweise bitten wir Sie um Zusendung eines PDF-Auszuges aus der Datenbank zur Anerkennung und Bewertung ausländischer Bildungsnachweise (ANABIN).

Bei Berufsabschlüssen, die außerhalb Deutschlands abgeschlossen wurden, schicken Sie bitte die deutsche Übersetzung und die Anerkennung in Deutschland. Informationen dazu finden Sie beim Bundesinstitut für Berufsbildung (BIBB).

Die Hochschule Bremen fördert die Beschäftigung von Frauen auf allen Ebenen. Frauen werden daher ausdrücklich aufgefordert, sich zu bewerben.

Schwerbehinderten Bewerber:innen wird bei im Wesentlichen gleicher fachlicher und persönlicher Eignung der Vorrang gegeben. Bewerbungen von Personen mit Migrationshintergrund werden begrüßt.

Weitergehende Hinweise zur Hochschule Bremen finden Sie unter www.hs-bremen.de. Für Rückfragen zur Stellenausschreibung steht Ihnen Frau Prof. Dr.-Ing. Uta Bohnebeck unter uta.bohnebeck(at)hs-bremen.de zur Verfügung.

Wir freuen uns über Ihre aussagekräftige Bewerbung inkl. Unterlagen bis einschließlich 06.01.2023 über career.hs-bremen.de.

Hochschule Bremen, Neustadtswall 30, 28199 Bremen

The Max Planck Institute for Demographic Research (MPIDR) is inviting applications from qualified and highly motivated students for a PhD student position in the Lab of Digital and Computational Demography.

The MPIDR is one of the leading demographic centers in the world. It is part of the Max Planck Society, a network of more than 80 institutes that form Germany’s premier basic-research organization. Max Planck Institutes have an established record of world-class research and they offer a unique environment that combines the best aspects of an academic setting and a research laboratory.

The Lab of Digital and Computational Demography, headed by MPIDR Director Emilio Zagheni, is looking for candidates with strong quantitative and programming skills and with research interests in inequalities in mortality.

Short Description of the PhD Project

Disparities in mortality by educational levels are one of the most pressing issues of modern societies, and may have been exacerbated by the COVID-19 pandemic. The successful candidate is expected to contribute and advance a project that analyzes recent developments in inequalities in mortality by education across space and time, with both a period and a cohort perspective. Particular attention would be devoted to the definition of educational groups, and to complementing standard educational-attainment measures with new approaches that account for compositional changes.

Supervisory Team

This project will be supervised by a team of renowned demographers that includes Ugofilippo Basellini (MPIDR), Emilio Zagheni (MPIDR), Fanny Janssen (Netherlands Interdisciplinary Demographic Institute (NIDI) & University of Groningen), and Carlo Giovanni Camarda (Institut national d'études démographiques - INED). The PhD student is expected to be in residence at the MPIDR and enrolled at the graduate school of the Faculty of Spatial Sciences at the University of Groningen. Additionally, the PhD student will have the opportunity of doing research visits at INED and at NIDI.

For questions and additional information regarding the PhD project, please contact Ugofilippo Basellini (basellini@demogr.mpg.de). 

The PhD studentship offers an excellent opportunity for motivated students to work with a highly international team of researchers, to take advantage of the interdisciplinary intellectual environment at the MPIDR, as well as substantial support for travel, research training and data acquisition.

The admitted student is expected to be part of the International Max Planck Research School for Population, Health and Data Science (IMPRS-PHDS) that merges demography, epidemiology and data science. IMPRS-PHDS equips doctoral students not only with advanced knowledge of the theory and methods of demography and epidemiology (broadly defined as ‘population health’), but also with strong technical skills in statistics, mathematical modeling, and computational and data management methods (broadly referred to as ‘data science’). PHDS supports strong interdisciplinary research training and exchange within a network of universities in Europe and the US. The research school offers a core training program in Rostock, extensive networking opportunities across partner sites, and high-quality supervision across at least two institutes. For more information on the IMPRS-PHDS curriculum please see www.imprs-phds.mpg.de.

How to Apply

Applications must be submitted online (https://survey.demogr.mpg.de/index.php/693149?lang=en) by March 20, 2022 and include as a single pdf file, in English:

1) Curriculum Vitae, including a list of your scholarly publications.
2) A motivational statement (maximum two pages) explaining why you applied, how your research interests fit with the project; how the MPIDR could foster your career development; and describing your technical skills and areas of expertise.
3) Copies of transcripts of undergraduate and master’s degrees. Applicants should hold a master’s degree or equivalent at the time of starting the PhD.
4) Names and contact information for 2 academic references.
5) One writing sample.

The starting date is flexible, but no later than November 1, 2022. The PhD student is offered a 3-year contract with remuneration based on the salary structure of the German public sector (Öffentlicher Dienst, TVöD Bund) currently starting at 34,295.22 € gross a year. Online interviews will be held between April 11 and April 14, 2022.

The MPIDR is an equal opportunities employer. Our work atmosphere includes respectful treatment of each other, with gender, nationality, religion, disability, age, cultural origin, and sexual identity playing no role. We aim to have an institutional culture that enables everyone to develop their individual skills and competencies.

The Max Planck Society offers a broad range of measures to support the reconciliation of work and family. These are complemented by the MPIDR’s own initiatives. The Society has been awarded the certificate “Work and Family” which is granted to institutions committed to establishing a family-friendly corporate culture by binding target agreements. The MPIDR collaborates with a network of local day-care centers that provides childcare places for the children of Institute staff. The Max Planck Society has contracts with a private family service company that offers services such as arranging child care on short notice in various cities in Germany for parents who attend conferences, care services for children of school age up to 14 years, and support for those caring for family members and relatives. The MPIDR also practices flexible working-time models, which include at least one home office day per week, and scheduling meetings only within core working hours. To help accompanying spouses and partners find appropriate work at their new location, the MPIDR works in close cooperation with Dual-Career Partners in regional networks.

Our Institute values diversity and is keen to employ individuals from minorities.

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.