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

Open nowPosted 13 days ago

Technical Stewardship - 6-Month Internship

lnds20 open roles

Where
Luxembourg - Esch-sur-Alzette
Get the CV for this job

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

Your applicationOpen nowTechnical Stewardship - 6-Month Internshiplnds · Luxembourg - Esch-sur-Alzette

  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 lnds'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.

8.2% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 13 days ago

The posting

Who we are

Luxembourg National Data Service (LNDS) is a brand of PNED G.I.E. an organisation created by the Luxembourg Government, to implement Luxembourg’s strategies in research, innovation, and digitalisation. LNDS enables value creation from secondary use of data, for public and private partners and supports the sharing and re-use of public sector data, in a trustable manner. The LNDS service portfolio includes know-how, capabilities, tools, infrastructure, and data services. Through efficient & responsible use of data and improving the secondary use of data, LNDS will support the acceleration of economic, ecological, and societal transitions.

Purpose of the job / project

You will work closely with LNDS’ Data Stewards, a multidisciplinary team covering topics of Research Data Management, Data Governance, and Applicant support in Data Access Applications. You will contribute to accelerate and facilitate the LNDS role in supporting applicants for Data Access Requests.

What you will do

You will investigate the further development of an existing Large Language Model (LLM) pipeline based on Retrieval-Augmented Generation (RAG). The objective is to design, implement, and evaluate one or more approaches for schema-to-text and text-to-schema transformations within a defined Data Access Application workflow. The developed system will:

  • Analyze data flow diagrams and populate the corresponding template with accurate and complete information.
  • Create data flow diagrams based on textual requirements and specifications.
  • Verify the internal consistency and logical coherence of data flows or generated outputs.
  • Perform compliance checks against reference materials and knowledge sources provided mainly through the RAG framework.
  • Identify opportunities to improve the quality, completeness, and consistency of data flows or generated outputs.

The basic business needs are:

  • To commit to developing an understanding of business goals and operational processes underlying the use case and translating them into effective AI-driven solutions.
  • To evaluate and validate the generated outputs against defined quality criteria and state-of-the-art assessment frameworks.

Who you are

  • Master's student in Mathematics, Computer Science, Data Science, or a related field
  • Ability to conduct literature reviews and select relevant publications
  • Critical thinking
  • Team-working ability
  • Technical expectationsUnderstanding of machine learning concepts Familiarity with evaluation methods and metrics Natural Language Processing (NLP) Programming experience, including working with APIs Experience with Open-Source LLMs is a plus Familiarity with RAG concepts Prompt design
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 lnds'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 lnds'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

    lnds'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

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

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.