Pica Code IR-2026-112 Composable Policy for Multi-Objective Optimization in World Models

Italian Ministry of Education, University and Research; Italy; On-site; EUR 60,000 - 75,000; Full time

Job summary

Unimore in Italy invites applications for a recognised researcher position focused on research and implementation of composable policies for multi-objective optimization in World Models (model-based reinforcement learning). The role aims to combine policies learned on separate objectives at inference time without retraining.

The successful candidate will engage in selective procedures based on qualifications and interview; country/ies of residence: OTHER.

Qualifications

• Experience in research on reinforcement learning and policy optimization.
• Familiarity with model-based approaches and world models is desirable.

Responsibilities

• Research and implement composable policies for multi-objective optimization in World Models.
• Explore objective trade-offs and task arithmetic in weight space for inference-time deployment.

Skills

World Models

Composable policies

Multi-objective optimization

Reinforcement learning

Model-based RL

Job description

Organisation/Company Unimore Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 25 Nov 2026 - 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Research and implementation of composable policies for multi-objective optimization in World Models (model-based reinforcement learning), aiming to combine at inference time, without retraining, policies and skills learned on individual objectives, also through task arithmetic in weight space, so as to obtain different trade-offs among conflicting objectives.

• Italy

Eligibility of fellows: country/ies of residence:

• OTHER

Eligibility of fellows: nationality/ies:

• OTHER

Selection process

selective public procedure based on qualifications and interview