Industrial R&D engineer, facing AI.

Calculate, experiment and validate: a proposal must meet the evidence.

Jobiwan illustration of the occupation: industrial r&d engineer.
Jobiwan illustration

Its place among occupations

457 of 1,584

From most to least exposed to software AI.

1
Most exposed
1,584
Least exposed
View the complete occupation ranking

Estimated index

56/100

Method and sources

This ranking compares tasks in occupation profiles. It does not predict job losses or describe your actual role.

The assessment

Explore possible uses of software AI, physical tasks and the role of human judgement. The index covers software AI only.

  • Software AI

    29 tasks in this group

    Calculations, summaries and technical documentation can involve tools. Assumptions, source data and proposed results need appropriate validation.

  • Physical tasks

    2 tasks in this group

    Tasks performed in a real place involve physical constraints. This task group does not prove that a robot can carry them out.

  • Human judgement and relationships

    28 tasks in this group

    Framing the right problem and discussing result limitations give direction to calculations and trials.

These groups help you explore the occupation's tasks. They do not prove that a tool can perform them: working conditions, equipment and responsibilities also matter.

What will still make a difference

Beyond the index, these practical situations can help you reflect on what you bring to work and the skills you want to develop.

In the work itself

Set the assumptions

Define what a model represents, its parameters and the limits of its application.

Compare with trials

Compare theoretical results with measurements and investigate discrepancies.

Prepare implementation

Turn a solution into specifications compatible with industrial constraints.

In how you do it

Keep a critical eye

A precise calculation can rest on an unsuitable assumption. Documenting uncertainty distinguishes a research direction from a validated result.

Connect the tool to context

In your role, notice when you need to set the assumptions. A useful response depends on available information and what you need to verify.

Tasks in detail

A preview of the occupation’s tasks, arranged in the three groups above. Expand the full list to see everything.

  • Software AI

    29 tasks

    Concevoir des modèles théoriques (calcul, simulation, modélisation)

    Créer, concevoir de nouveaux produits ou des améliorations produits

  • Physical tasks

    2 tasks

    Maîtriser les caractéristiques d'un produit ou d'un matériau

    Mettre en oeuvre les processus et les modes opératoires techniques

    The robotics potential of these tasks has not been assessed. Their inclusion here does not mean a robot can perform them.

  • Human judgement and relationships

    28 tasks

    Concevoir et animer une démarche d'innovation

    Concevoir et coordonner un programme, un projet de recherche

    Concevoir, conduire et vérifier des travaux d'analyse en laboratoire dans le respect des Bonnes Pratiques de Laboratoire (BPL)

An assessment alone is not enough to move forward

Jobiwan does not decide for you: your coach helps you connect this analysis with your experience, identify what sets you apart and test it in the real world.

  1. Start with your reality

    Your own situations, compared with the occupation’s assessment.

  2. Identify what sets you apart

    What matters to you, already a strength or something to develop, never a score.

  3. Test it in the real world

    A concrete first step chosen with your coach, followed by feedback a few days later.

A few days later

Your coach checks back to ask what that first step changed, in a conversation at your pace.

Jobiwan does more than give you an assessment of your occupation: it helps you understand what it means for you.

That is the occupation on paper. What about your daily work?

Compare concrete situations from your occupation with this assessment and discover what sets you apart.

Free, no account required.

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Frequently asked questions

Where does this data come from?