Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 99 days ago

Associate Professor or Assistant Professor in Machine .... (m/f)

Université du Luxembourg E.P.

Where
Luxembourg
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAssociate Professor or Assistant Professor in Machine .... (m/f)Université du Luxembourg E.P. · Luxembourg

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Université du Luxembourg E.P.'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 99 days ago

The posting

Associate Professor or Assistant Professor in Machine Learning and Foundation Models (Valid from 22/07/2026 to 06/01/2027) Language: English (UK)Location Esch-sur-AlzetteCountry: Luxembourg Organisation data: Department of Computer ScienceJob Number: UOL08383Contract Type: Professorial - PermanentSchedule Type: Full TimeWork Hours 40.0 Hours per WeekExpected Start Date: 01/06/2027 Job (internal): Assistant ProfessorFunctions: Associate / Assistant ProfessorRole Type: Open PositionExpertise: ProfessorsJob Level: Monolevel About the FSTMThe University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and the environment we live in. Within the FSTM, the Department of Computer Science (DCS) conducts cutting-edge research and offers high-quality education in core areas of computer science, with particular strengths in artificial intelligence, information security, and advanced computing systems. DCS promotes interdisciplinary research and closely cooperates with other high-profile research centers in Luxembourg and beyond, as well as with industry and society. The faculty entertains various successful and growing teaching programs and supports lifelong learning activities. Your roleAs a professor in the Department of Computer Science, you will:• Lead research in your area of expertise, with a focus on machine learning and foundation models, and have the opportunity to establish and grow your own research group within a collaborative environment• Collaborate actively with colleagues across the department, the university, and national research institutions, benefiting from Luxembourg's dynamic and well-funded research ecosystem• Contribute to teaching at all levels - e.g.: Bachelor, Master, and Doctoral -, designing and delivering courses in your field of expertise• Supervise and mentor PhD and postdoctoral researchers, and support their development through seminars and related activities• Participate in shaping the department's research and educational agenda For further information about the role, please contact: Prof. Jean-Sébastien Coron, Head of the Department of Computer Science, Email: <a href="mailto:[email protected]" rel="nofollow">[email protected]</a> Your profileThe Faculty of Science, Technology, and Medicine (FSTM) seeks a candidate with:• A PhD degree in Computer Science or a closely related field• A research track record in Artificial Intelligence, with an emphasis on machine learning and an openness to interdisciplinary collaboration — both within academia and with industry partners• Expertise in one or more core areas of machine learning and foundation models, such as deep learning, representation learning, probabilistic modeling, reinforcement learning, optimization for learning, trustworthy and efficient machine learning, or foundation models including large language and multimodal models. We particularly value depth of knowledge, originality, and the potential for cross-disciplinary innovation• Publications in top-tier computer conferences and journals related to AI and machine learning, including but not limited to NeurIPS, ICML, ICLR, JMLR, CVPR, ICCV, ECCV, IJCV, TPAMI, ACL, EMNLP, KDD, AAAI, IJCAI, ECAI, COLT, UAI, AAMAS, AISTATS, TACL, SIGIR, WSDM, Web Conference• Experience in teaching Computer Science topics at undergraduate, graduate, or postgraduate levels and willingness to contribute to the department's teaching and administrative missions Language requirements:The University of Luxembourg is set in a multilingual and multicultural context. The person hired on this position must be proficient in English. Proficiency in French or German is considered an advantage. The University actively supports language development among its staff and offers access to language courses to this end. We offer• A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities• An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs How to applyApplications should include:• Cover letter, to be addressed to Pascal Bouvry, Dean of the Faculty• Curriculum Vitae; you may include any periods of absence from work, such as family-related leave or career breaks, if you consider them relevant for the fair assessment of your experience• Short description of profile, key achievements and impact, summarizing main publications, projects, teaching expertise and accomplishments in knowledge transfer relevant to this role (1-3 pages)• Statement of planned research, teaching and other activities at the University of Luxembourg (1–3 pages)• Lists of publications, research projects, PhD theses supervised and subjects• Names, contact information and current position of 3 referees who can, upon request, provide an assessment of the application. Please indicate their relationship to youWe encourage early application. Applications are only accepted online through the HR system. The position will be unposted on 30th September 2026, after which no further applications can be submitted. Applications will be handled in strict confidence.All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information:• Contract Type: Professorial - Permanent This position is offered at the Assistant Professor or Associate Professor level, depending on qualification. Both positions are tenured.• Work Hours: Full Time 40.0 Hours per Week• Location: Belval Campus• Internal Title: Assistant Professor• Job Reference: UOL08383. The reference should be mentioned in all correspondence• Starting date: 01.06.2027 or as soon as possible thereafter.

Posting text belongs to the employer. Removal requests: contact us.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Université du Luxembourg E.P.'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Université du Luxembourg E.P.'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Université du Luxembourg E.P.'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.