Stellenanzeigen

Im Fachbereich II (Mathematik, Physik, Chemie) ist im Rahmen des Drittmittelprojektes „PROVIS“ ab dem 01.04.2026 für die Dauer von vier Jahren folgende Stelle zu besetzen:

Wissenschaftliche/r Mitarbeiter/in zur Promotion (m/w/d)
Entgeltgruppe 13 TV-L Berliner Hochschulen mit 100 % der regelmäßigen Arbeitszeit

Im Rahmen eines von Bundesministerium für Forschung, Technologie und Raumfahrt geförderten Projekts zu „Prognosen und Analytik für die Veraltung der innovativen Steuerung“ (PROVIS) wird exemplarisch in drei Handlungsfeldern der Berliner Verwaltung erforscht, wie mathematisch-statistische Methoden, Methoden des maschinellen Lernens bis hin zur Künstlichen Intelligenz (KI) im Verwaltungshandeln nutzenbringend eingesetzt werden können. Hierzu werden Methoden der Zeitreihenanalyse, des maschinellen Lernens und des Predictive Analytics weiterentwickelt und implementiert.
Das Forschungsvorhaben weist somit fachliche Schwerpunkte sowohl im Bereich der angewandten Mathematik, der Wirtschaftsinformatik, der Data Science als auch in der Organisationsentwicklung zur Digitalisierung der öffentlichen Verwaltung und des Verwaltungshandelns auf.
Angestrebtes Ziel ist, dass die Forschungsarbeiten der Mitarbeiterin/des Mitarbeiters zur Promotion führen. Die Promotion findet in enger Kooperation mit der Freien Universität Berlin als akademischer Partner statt.
Voraussetzung für die Einstellung ist die entsprechende Betreuungszusage für das Promotionsvorhaben.

Aufgabengebiet

• Datenanalyse von Kundendaten
• Mathematische Modellbildung und Modellvalidierung
• Weiterentwicklung von Prognoseverfahren (Zeitreihen, neuronale Netze, hybride Verfahren) zum Schätzen der Kennzahlen in verschiedenen Kundensegmenten
• Implementierung, Anwendung und Bewertung der entwickelten Verfahren
• Wissenschaftliche Dokumentation und Veröffentlichung der Ergebnisse

Fachliche Anforderungen

• Abgeschlossenes wissenschaftliches Hochschulstudium (Masterstudium, Diplom) in der Fachrichtung Angewandte Mathematik oder Wirtschaftsmathematik oder Wirtschaftsinformatik oder Data Science oder Informatik (Vorlage des Abschlusses spätestens zum Zeitpunkt der Unterschrift des Arbeitsvertrages)
• Fundierte theoretische und praktische Erfahrungen in angewandter Statistik, Zeitreihenanalyse und Datenauswertung
• Erfahrungen in Modellen und Methoden des maschinellen Lernens
• Fundierte Programmierkenntnisse in Python bzw. R
• Sehr gutes mündliches und schriftliches Formulierungsvermögen in Deutsch

Außerfachliche Anforderungen

• Systematisches, methodisches Vorgehen
• Fähigkeit zum selbstständigen wissenschaftlichen Arbeiten
• Sehr gute analytische Fähigkeiten
• Freundliches und teamorientiertes Auftreten

Wir bieten

• Einen Arbeitsplatz im Innenstadtbereich, der mit öffentlichen Verkehrsmitteln gut zu erreichen ist
• Externe und interne Weiterbildungsmöglichkeiten
• Betriebliches Gesundheitsmanagement (u. a. div. Sportkurse)
• Familienfreundliche Arbeitszeit durch Gleitzeit und ggf. mobiles Arbeiten
• 30 Urlaubstage
• Zuschuss zum Firmenticket
• Sozialleistungen entsprechend den Regelungen im öffentlichen Dienst (z. B. betriebliche Altersvorsorge)
• Ein interdisziplinäres, hochschulübergreifendes Projektteam, das sich über Ihre Verstärkung freut

Bewerbungshinweise 
Die Bewerbung sollte ein Anschreiben enthalten, aus dem Ihre Motivation für Ihre Bewerbung hervorgeht. Neben Qualifikationsnachweisen freuen wir uns auf einen tabellarischen Lebenslauf.
Die Berliner Hochschule für Technik bittet qualifizierte Interessentinnen nachdrücklich um ihre Bewerbung. Schwerbehinderte werden bei gleicher Qualifikation bevorzugt. Bewerbungen von Menschen mit Migrationshintergrund sind ausdrücklich erwünscht.
Bitte bewerben Sie sich bis zum 09.03.2026 über unser Online­ Bewerbungsformular unter www.bht-berlin.de/bewerbungsformular. Wir freuen uns auf Ihre Bewerbung!

Die Berliner Hochschule für Technik (BHT)
Zukunftsorientiert, praxisnah, forschungsstark: Im Herzen der Hauptstadt bietet die BHT das größte ingenieurwissenschaftliche Studienangebot in der Region. Unter dem Motto „Studiere Zukunft" bilden wir in über 70 technischen, natur-, lebens- und wirtschaftswissenschaftlichen Studiengängen mehr als 12.000 Studierende stets am Puls der Zeit aus und engagieren uns in der beruflichen Weiterbildung. Mit 300 Professor*innen, rund 450 Beschäftigten in Verwaltung, Technik und Wissenschaft sowie unseren Lehrbeauftragten sind wir ein starker Wissenschaftspartner - auch in internationalen Netzwerken.

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Department of Mathematics and Systems Analysis is an international highly regarded academic community of more than 100 employees, with around 20 professors, 10 lecturers, 20 postdocs, and 60 doctoral students. Our department has a welcoming culture which nurtures  innovativeness and communication among our international and diverse faculty.

The department invites applications for a tenure track position at the Assistant Professor level in Operations Research.

The position is open to talented individuals who hold a doctorate in operations research or a closely related field and have excellent potential for a productive scientific career. With this call, Aalto University aims to strengthen its leading role in systems and operations research in Finland. Applications are welcome from all areas of operations research, including but not limited to optimization, mathematical programming, analytics, data-driven decision-making, stochastic modelling, and systems analysis. We seek applicants whose research and teaching profiles complement the department and strengthen the research area in systems and operations research by combining theoretical and methodological contributions with applied research.

The position is to be filled at the assistant professor level in the Aalto University tenure track system. The position is full-time and fixed-term. It offers the opportunity to advance to a permanent tenured position based on an evaluation of achievements and merits according to Aalto’s tenure track criteria; please see the details here.

Your experience

Throughout their careers, those in the academic tenure track system are expected to conduct and guide scientific research, to provide related higher education, to follow advances in their field, to participate in service to the Aalto University community, and to take part in societal interaction and international collaboration in their field. We seek applicants who have:

• A doctorate in operations research or a closely related field, e.g., (applied) mathematics, computer science or management science.

• Potential to carry out outstanding research, attract research funding, and provide researcher training in operations research.

• Interest in collaborating in an interdisciplinary environment.

• Ability to become an excellent teacher in the BSc major on Mathematics and Systems Analysis and the MSc degree programme on Mathematics and Operations Research of the School of Science.

Applicants to this call are considered only for Assistant Professor positions. They will be evaluated based on their potential and demonstrated ability in research, teaching, academic service, and activities in the scientific community.

The selected applicant must have completed their doctoral degree before starting the position. Researchers with more than twelve years since their doctoral degree (not including relevant career breaks) are advised to seek more advanced positions. Professors in the Aalto tenure track system must be fluent in English to carry out their duties successfully. Finnish language skills are not required.

What we offer

We offer competitive salaries and start-up packages to new faculty. The professor will join an inspiring and supportive work community of experienced professionals, motivated students, and well-functioning support services. The contract includes occupational health benefits. Aalto University helps with the relocation process for the selected applicant (e.g., finding housing, daycare, schools).

Aalto University is committed to promoting diversity, equality, and non-discrimination in all its activities. Thus, we promote equal opportunities to learn, acquire knowledge, participate, and make a difference. As an equal-opportunity employer, Aalto University bases its recruitment decisions on applicants’ competencies, skills, and aptitudes. Aalto’s recruitment processes are clearly defined, transparent, and fair, and allow relevant areas to be emphasized when recruiting for positions across the various career systems and levels. Career breaks due to periods of parental leave and other obligatory absences, such as military service, will be considered to your benefit in the assessment of applications.

How to apply

Applications must be submitted electronically through the Apply now! link below.

Applications will close on 15 March 2026 at 23:59 EET (UTC+2). The submitted application materials must be in English and must include the following documents as a single file in PDF format:

1. cover letter including a summary of merits and most important achievements,
2. curriculum vitae,
3. research statement (recommended length three to five pages),
4. teaching statement (including possible experience in teaching and student supervision),
5. complete list of publications with no more than five of them highlighted as most important.

Shortlisted candidates may be asked to supplement their applications with more detailed teaching and research portfolios.

Aalto University will use external reviewers to support the evaluation of applicants during the recruitment process. The most suitable applicants will be invited to visit the department for teaching demonstrations and interviews.

Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions.

Further Information

If you wish to hear more about the position, please contact the chair of the departmental committee Professor Ahti Salo (ahti.salo@aalto.fi). In recruitment process-related questions, please contact HR Partner Johanna Glader (johanna.glader@aalto.fi).

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Why Aalto University & Finland?

In addition to its strong academic community, the Helsinki region is a vibrant technology and innovation hub with easy access to major partners, both private and public. The Department of Mathematics and Systems Analysis is located at the main Otaniemi Campus of Aalto University, 15 minutes from the centre of Helsinki by metro. Helsinki International Airport (HEL) is a major air traffic hub with direct flights to numerous international destinations. For more information about our campus, see the virtual campus tour.

Finland tops international rankings in education, equality, safety, and quality of life. Finland is one of the most technologically advanced countries in the world; design, creativity, and start-up culture are also important. Finland is a great place for living, with or without family. It is a safe, politically stable, and well-organized Nordic society, where equality is highly valued, and corruption is low. Extensive social security supports people in all life situations, and Finland’s free, high-quality education system is internationally recognized. In Finland, a low level of hierarchy is a cultural asset in working life and society. Finland has been repeatedly ranked as the happiest country in the world according to the World Happiness Report.

More information about living in Finland:

https://www.aalto.fi/en/services/why-finland

https://www.infofinland.fi/en/frontpage

Am Lehrstuhl für Operations Management ist ab sofort eine Stelle als

Wissenschaftliche Mitarbeiterin / Wissenschaftlicher Mitarbeiter

zu besetzen.

Über uns
Der Lehrstuhl für Operations Management wird von Prof. Dr. Rainer Kolisch geleitet und ist Teil des Departments Operations & Technology der School of Management an der TU München. Der Lehrstuhl forscht zu Fragestellungen des Operations Managements unter Verwendung von quantitativen Methoden, insb. Methoden des Operations Research. Aktuelle Themen sind bspw. Operations Management an Flughäfen und in Krankenhäusern, Ablaufplanung in der Configure-to-Order-Fertigung sowie Scheduling und Routing.

Was wir bieten

• Hervorragendes Forschungsumfeld, einschließlich eines strukturierten Doktorandenprogramms.
• Einbindung in ein motiviertes Lehrstuhlteam sowie das Department für Operations & Technology mit 10 Professuren und ca. 50 wissenschaftlichen Mitarbeitern.
• 75%-Stelle TV-L

Was wir erwarten

• Eigenständigkeit, Engagement, Einsatz und Freude an der Arbeit in Forschung und Lehre.
• Durchführung von Übungen und Seminaren, Betreuung von Abschlussarbeiten und Projektstudien sowie Mitarbeit am Lehrstuhl.

Ihre Qualifikation

• Überdurchschnittlicher Master-Abschluss in einem der folgenden Studiengänge: (Wirtschafts-)Mathematik, (Wirtschafts-)Informatik, (Wirtschafts-)Ingenieurwesen, oder Wirtschaftswissenschaften mit quantitativer Ausrichtung.
• Sehr gute Kenntnisse in Operations Research und Programmierung.
• Sehr gute Englischkenntnisse in Wort und Schrift. Deutschkenntnisse oder die Bereitschaft, Deutsch zu lernen.

Ihre Bewerbung

Bitte senden Sie die folgenden Unterlagen an rainer.kolisch@tum.de:

• Einseitiges Anschreiben Motivationsschreiben.
• Lebenslauf.
• Abitur und Hochschulzeugnisse mit Noten in den belegten Modulen.

Technical University of Munich
TUM School of Management
Chair of Operations Management

Prof. Dr. Rainer Kolisch
Arcisstraße 21
80333 München

Operations Research Engineer (m/f/d) - Network Planning Optimization

City: Berlin
Department: IT & Engineering
Recruiter: Anna Symonenko

View this job posting on Flix website: https://flix.careers/job/?jobid=8317060002 

At Flix, we offer a tech-driven environment where innovation meets real-world impact, with competitive pay, strong growth opportunities, and a culture of collaboration and ownership.

As an Operations Research Engineer in our Supply Division, you’ll play a crucial role in developing products powered by optimization algorithms that enable our network planners to design smarter, more efficient networks. Your work will directly shape how well supply meets demand and how effectively our vehicles and crews are planned — helping millions of passengers reach their destinations smoothly while improving our network’s overall performance and profitability. 

Our team creates and maintains an innovative product to tackle a wide range of use cases, from seasonality planning to timetable optimization, while considering network-wide demand forecasts to ensure optimal alignment of supply and demand.  

We work closely with our data-savvy internal stakeholders to ensure our product aligns perfectly with their needs - work that helped Flix win the GOR Company Award 2024 for excellence in Operations Research. 

Join our cross-functional team, which includes Operations Research Engineers, Software Engineers, a Product Owner and an Engineering Manager. 

Our technical stack: 

• Core ORE toolset: Python, SQL, Gitlab 
• Team toolset: Docker, Kubernetes, Datadog, Kafka, AWS 
• Algorithms / methods: exact methods such as LP and MILP, (meta)heuristics such as neighbourhood search and tabu search 

About the Role

• Design, test, and enhance optimization models and metaheuristic algorithms  for our network planning use-cases
• Prepare and analyze data to inform model design and evaluate algorithm results, ensuring validity and practical relevance
• Develop and implement these algorithms in clean, readable, efficient, and production-ready code, actively contributing to code reviews
• Balance algorithm complexity with practical implementation, progressing incrementally using an agile inspect-and-adapt approach
• Collaborate closely within the team to achieve our goals together
• Engage regularly with stakeholders and end users to gain deep domain knowledge
• Participate in problem exploration and discovery with users to inform solution  design
• Share your expertise, work, and results at various levels, promoting a culture of continuous knowledge sharing 

About You

• An academic background in a quantitative field such as Operations Research, Industrial Engineering, Mathematics, Computer Science, or related disciplines
• At least 2 years of practical experience implementing optimization models or metaheuristic algorithms, using Python
• A deep understanding of operations research models and algorithms, including combinatorial optimization (MILP, LP, etc) and metaheuristics (local search, genetic algorithms, etc)
• A strong team player valuing close collaboration, shared responsibilities, and iterative development
• Proficiency in conveying complex algorithmic concepts to non-technical stakeholders
• Fluent in English, with strong communication skills in both written and spoken forms
• Experience with SQL, a solid grasp of OOP principles, and a commitment to clean code are all highly valued
• Experience in the transportation and logistics domain is advantageous

We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you!

What We Offer

• Travel perks: 12 free Flix vouchers + 12 discount vouchers for friends & family.
• Work from (M)Anywhere: Depending on your role, work from another location for up to 60 days per year.
• Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life.
• Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.
• Learning & Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.
• Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career.

To view more local benefits specific to each office location, please check out this link: Locations - Flix Career

Why Join Flix?

At Flix, we empower our teams to push boundaries and shape the future of mobility. As we continue to scale globally, we harness cutting-edge technology to make mobility smarter, more sustainable, and more affordable.

If you’re looking for a place where you can drive change and redefine how millions of people travel, Flix is the place where you can lead your journey!