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PhD Project Proposal – CIFRE Collaboration with PAL Robotics at pal robotics

Toulouse, Occitania, France - Full Time

Skills Needed
Computer Science, Robotics, Artificial Intelligence, Programming, C++, Python, Ros, Locomotion Control, Simulation Tools, Reinforcement Learning, Software Development, Linux, Team Working, Proactive Attitude

Specialization
Candidates should have an MSc degree in a relevant field and excellent programming skills in C++ and Python. Experience with ROS, locomotion control, simulation tools, and reinforcement learning methods is also required.

Experience Required
Minimum 2 year(s)

Pflichtpraktikum im HR Planning & Controlling at Bosch Group

Gerlingen, Baden-Württemberg, Germany - Full Time

Skills Needed
Human Resources, Data Analysis, Ms Office, Excel, Powerpoint, Talent Attraction, Recruiting, Onboarding, Project Management, Workshop Preparation, Training, Presentation Skills, Team Collaboration, Problem Solving, Digitalization, Artificial Intelligence

Specialization
Candidates should be enrolled in a university program related to business administration, economics, or human resources. Proficiency in MS Office, particularly Excel and PowerPoint, is required, along with a strong interest in data analytics and AI applications.

Senior Principal Engineer- End-to-End AI Training Framework at Bosch Group

Sunnyvale, California, United States - Full Time

Skills Needed
Artificial Intelligence, Autonomous Driving, Adas, Software Development, System Engineering, Machine Learning, Tensorflow, Pytorch, Model Optimization, Embedded Systems, Cloud Computing, Mlops, Cicd, Simulation Tools, Automotive Safety Standards, Leadership

Specialization
Candidates must have a Master's degree or Ph.D. in a relevant field and at least 10 years of experience in software development for autonomous driving. Deep knowledge of AI frameworks, training algorithms, and system validation is essential.

Experience Required
Minimum 10 year(s)

Stage - Implémentation d'un Deep Equilibrium dans un GNN pour l'Opération d at RTE

Paris, Ile-de-France, France - Full Time

Skills Needed
Graph Neural Networks, Machine Learning, Data Science, Python, Jax, Tensorflow, Optimization, Statistics, Signal Processing, Deep Equilibrium Networks, Linear Algebra, Sparse Matrices, Research, Data Analysis, Artificial Intelligence, Benchmarking

Specialization
Candidates should be in their final year of engineering school or pursuing a Master's degree with a focus on applied mathematics, machine learning, or data science. Proficiency in programming, particularly in Python and familiarity with machine learning concepts, is essential.

OT Platform/Cyber Engineer at GE Vernova

Providence Township, Virginia, United States - Full Time

Skills Needed
Control Systems, Cybersecurity, User Interface Design, Human Machine Interface Design, Artificial Intelligence, Simulation Tools, Security Controls, Industrial Protocols, Scada Systems, Design Tools, Prompt Engineering, Zero Trust Cybersecurity Principles

Specialization
A Bachelor's Degree in Computer Science, Computer Engineering, or other STEM majors is required. Desired qualifications include experience in Human Machine Interface Design, an interest in control systems, and familiarity with cybersecurity principles.

Data Analyst - Internal Audit Services at Valley Bank

Morristown, New Jersey, United States - Full Time

Skills Needed
Data Analytics, Power Bi, Excel, Access, Microsoft Sql, Communication Skills, Relationship Building, Internal Controls, Auditing Techniques, Artificial Intelligence, Banking Industry Knowledge, Data Extraction, Data Transformation, Technical Configuration, Business Writing, Reliability

Specialization
Candidates must have a bachelor's degree and at least 3 years of relevant data analytics experience. Proficiency in data analysis tools and knowledge of internal controls and auditing techniques are essential.

Experience Required
Minimum 2 year(s)

Design Modeling Manager - Digital Sculpting at Ford Global Career Site

Dearborn, Michigan, United States - Full Time

Skills Needed
Digital Sculpting, Design Development, Cad Software, Project Management, Problem Solving, Communication, Teamwork, Machine Learning, Artificial Intelligence, Prototyping, Rapid Iteration, Automotive Engineering, Design Requirements, Employee Development, Collaboration, Creative Thinking

Specialization
Candidates should have a bachelor's degree in design, engineering, or a related field, along with 8+ years of experience in prototype software design and development. A strong understanding of automotive engineering and experience with various CAD software is essential.

Experience Required
Minimum 5 year(s)

AIM Associate - Investment Analytics | Fully Onsite at Allianz Technology

Saint Louis Park, Minnesota, United States - Full Time

Skills Needed
Finance, Mathematics, Computer Science, Asset Management, Programming, C#, Database Management, Sql Server, Microsoft Office, Etfs, Mutual Funds, Fixed Income, Equities, Derivatives, Artificial Intelligence, Automation

Specialization
Candidates should have a Bachelor’s degree in a relevant field and at least 3 years of experience in the Asset Management industry, along with programming experience, preferably in C#. Proficiency in IT systems and experience with retail products like ETFs and Mutual Funds are also required.

Experience Required
Minimum 2 year(s)

Senior Actuarial Analyst-Risk | Hybrid at Allianz Technology

Saint Louis Park, Minnesota, United States - Full Time

Skills Needed
Actuarial Experience, C#, Excel, Sql, Financial Risk Management, Capital Management, Valuation, Financial Reporting, Hedge Efficiency, Liquidity Assessment, Artificial Intelligence, Actuarial Research, Training, Forecasting, Derivatives Valuation, Communication

Specialization
Candidates must have 2-3 years of actuarial experience and a four-year degree in a related field. Completion of 3-4 SOA Exams and advanced skills in Excel, SQL, and C# are also required.

Experience Required
Minimum 2 year(s)

Stage de fin d’études Consultant(e) Compliance at Sia Partners - United Kingdom

Paris, Ile-de-France, France - Full Time

Skills Needed
Compliance, Risk Management, Regulatory Analysis, Auditing, Ethics, Artificial Intelligence, Teamwork, Curiosity, Communication, Problem Solving, Innovation, Sustainability, Project Management, Training, Client Engagement, Change Management

Specialization
Candidates should be nearing graduation from a top engineering or business school and ideally have some experience in consulting or compliance. Fluency in French and English is required, along with a collaborative and curious mindset.

Consultant(e) Procurement at Sia Partners - United Kingdom

Paris, Ile-de-France, France - Full Time

Skills Needed
Procurement, Supply Chain, Data Analysis, Digital Transformation, Artificial Intelligence, Lean Management, Risk Management, Sustainability, Cost Optimization, Stakeholder Engagement, Project Management, Collaboration, Communication, Innovation, Research, Training

Specialization
Candidates should have a degree from a prestigious engineering or business school and ideally some experience in Procurement or consulting. A curiosity for teamwork and strong analytical skills are essential, along with fluency in French and English.

Payroll Specialist at Allianz Technology

Chicago, Illinois, United States - Full Time

Skills Needed
Payroll Administration, Adp Globalview, Data Analysis, Customer Focus, Governance, Quality Assurance, Project Management, Vendor Management, Federal Payroll Laws, State Payroll Laws, Local Payroll Laws, Excel, Powerpoint, Artificial Intelligence, Continuous Improvement

Specialization
Candidates should have a Bachelor's degree and at least 3 years of payroll experience, particularly with ADP payroll solutions. A strong understanding of payroll laws and advanced data analysis skills are also required.

Experience Required
Minimum 2 year(s)

Investor - AI at Samsung Next

Mountain View, California, United States - Full Time

Skills Needed
Artificial Intelligence, Robotics, Edge Infrastructure, Cloud Infrastructure, Technical Due Diligence, Investment Sourcing, Relationship Building, Analytical Skills, Communication Skills, Team Collaboration, Intellectual Curiosity, Startup Ecosystem, Technical Background, Market Evaluation, Product Evaluation, Deal Closure

Specialization
Candidates should have an undergraduate or advanced degree in a relevant technical field and at least 3 years of technical experience. Strong domain knowledge in AI, robotics, or edge/cloud infrastructure is essential.

Experience Required
Minimum 2 year(s)

Principal Data, AI/ML Engineer at Simple Technology Solutions

, , - Full Time

Skills Needed
Artificial Intelligence, Machine Learning, Data Analytics, Data Lifecycle Management, Data Integrity, Model Training, Model Validation, Data Handling, Security Measures, Cloud Platforms, Agile Methodologies, Programming Languages, Big Data Technologies, Sql, Tensorflow, Pytorch

Specialization
A Bachelor's or Master's degree in a related field is required, along with over 15 years of hands-on experience in architecting AI/ML solutions. Strong programming skills and familiarity with AI/ML frameworks and big data technologies are essential.

Experience Required
Minimum 10 year(s)

Master Thesis: Data-Driven Network KPI Prediction for Mobile Robots at Ericsson

Stockholm, , Sweden - Full Time

Skills Needed
Machine Learning, Artificial Intelligence, Python, Linux, Docker, Mobile Networks, 5g Technology, Analytical Skills, Problem Solving, Communication Skills, Presentation Skills, Collaboration, Eagerness To Learn, Knowledge Sharing

Specialization
Candidates should have a background in Computer Science, Electrical Engineering, Robotics, or related fields. Experience with ML/AI frameworks and a good understanding of mobile networks, particularly 5G technology, is essential.

Manager R and D Incentives at Ericsson

Indaiatuba, São Paulo, Brazil - Full Time

Skills Needed
Telecommunications Networks, Artificial Intelligence, Virtual Reality, Augmented Reality, Engineering, Computer Science, Confidentiality, English Proficiency

Specialization
Candidates should have a bachelor's degree in engineering or computer science, with desirable postgraduate studies in a technology-related field. Knowledge of current and future telecommunications networks and relevant technologies is essential.

Experience Required
Minimum 2 year(s)

Stagiaire - Auditeur Financier - Lille – Septembre 2026 (H/F) at MAZARS

Villeneuve-d'Ascq, Hauts-de-France, France - Full Time

Skills Needed
Financial Auditing, Accounting, Finance, Taxation, Teamwork, Initiative, Adaptability, Critical Thinking, Client Understanding, Digital Transformation, Artificial Intelligence, Communication, Problem Solving, Professionalism, Confidentiality, Mentorship

Specialization
Candidates should have a higher education degree (bac+5) in business, engineering, or university. The ideal intern should be motivated, possess excellent interpersonal skills, and be able to work in multidisciplinary teams.

Freelance Quality Assurance Annotator (Japanese) at Toloka Annotators

Austin, Texas, United States - Full Time

Skills Needed
Quality Assurance, Annotation, Data Labeling, Attention To Detail, Written Communication, Feedback, Japanese, English, Technology, Artificial Intelligence, Fact Checking, Content Evaluation, Project Guidelines, Sensitivity Awareness, Instruction Following, Mentoring

Specialization
Candidates should have advanced proficiency in Japanese and at least B2 level in English, along with experience in QA, editing, or similar roles. A Bachelor's, Master's, or PhD degree in any field is required.

Experience Required
Minimum 2 year(s)

Audit Team Member at Allianz Technology

, , Turkey - Full Time

Skills Needed
Economics, Business Administration, Mis, Ms Office, Sql, English Communication, Critical Thinking, Analytical Skills, Artificial Intelligence, Data Analytics, Data Intelligence, Ai Strategy, Chatgpt, Agile Methodology, Internal Audit, Stakeholder Management

Specialization
Candidates should have a Bachelor's or Master's degree in a relevant field and be proficient in MS Office and SQL. They should possess strong analytical skills, critical thinking abilities, and knowledge in AI and data analytics.

Senior Consultant Risk Management & Internal Control at KPMG Nederland

Amstelveen, North Holland, Netherlands - Full Time

Skills Needed
Risk Management, Internal Control, Compliance, Advisory, Project Management, Coaching, Sarbanes Oxley, Csrd, Nis2, Grc Tooling, Artificial Intelligence, Erp Systems, Effective Communication, Team Leadership, Problem Solving, Analytical Skills

Specialization
A completed master's degree in finance, business economics, business administration, controlling, or accounting is required, along with at least 3 years of experience in risk management, internal control, or audit. Knowledge of compliance regulations such as SOx, CSRD, and NIS2 is essential, as well as fluency in Dutch.

Experience Required
Minimum 2 year(s)

PhD Project Proposal – CIFRE Collaboration with PAL Robotics at pal robotics

Toulouse, Occitania, France -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Science, Robotics, Artificial Intelligence, Programming, C++, Python, ROS, Locomotion Control, Simulation Tools, Reinforcement Learning, Software Development, Linux, Team-working, Proactive Attitude

Industry

Automation Machinery Manufacturing

Description

Company Description PAL France is a robotics company based in Toulouse, France, dedicated to advanced Research and Development (R&D) in service robotics. As the official distribution partner of PAL Robotics, Europe’s leading service robotics provider, PAL France focuses on the development of cutting-edge software for robotic control, with a particular emphasis on bipedal locomotion. The team’s current research concentrates on the dynamisation of walking—enabling robots to walk more dynamically, robustly, and efficiently, even in semi-structured environments. Job Description The central and concrete objective of this PhD thesis is to develop and deploy cutting-edge locomotion controllers on the bipedal robot Kangaroo [Kangaroo22], developed by PAL Robotics, using reinforcement learning techniques [Hwangbo19]. The Kangaroo platform presents a particularly high degree of mechanical complexity and nonlinearity, which makes it extremely challenging to model accurately in simulation [KangarooRL25]. As a result, standard sim-to-real approaches are difficult to apply, with the Kangaroo robot exhibiting a larger-than-usual gap between simulation and physical reality. The thesis aims to study and characterize this gap, and to propose novel learning-based control strategies capable of overcoming or mitigating it, either by improving transferability or by learning directly on the real system. This work will rely on strong experimental foundations and a tight collaboration between Gepetto at LAAS-CNRS and PAL Robotics. Gepetto brings extensive expertise in locomotion control and has successfully deployed reinforcement learning–based policies on multiple quadruped and biped robots [SoloParkour2024]. PAL Robotics, on the other hand, has designed and developed the Kangaroo platform and has already demonstrated a partial sim-to-real deployment of locomotion policies on real hardware. The project will leverage the forthcoming Kangaroo prototype, currently being assembled at PAL Robotics and expected to be delivered in Spring 2026. In addition, the thesis will benefit from the experimental facilities at LAAS-CNRS, including a large motion capture room equipped with a safety crane, a complete fab lab and mechatronics workshop, and several additional humanoid platforms such as Unitree H1 and R1. This environment will provide a unique opportunity to carry out extensive experimental validation and benchmarking of the developed learning-based controllers, in both simulated and real-world conditions. The PhD position is complemented by a 10-month engineering contract designed to provide technical and experimental support. This preliminary position is primarily intended to precede the start of the PhD, allowing the selected candidate to become familiar with the underlying technologies and to contribute to the preparation of the Kangaroo platform at LAAS-CNRS before the scientific work begins. In this configuration, the recruitment process would cover both stages: an engineering position at LAAS-CNRS (for example, from January to October 2026) followed by the PhD contract under PAL France (from November 2026 to October 2029). Alternatively, the engineering support contract could be allocated in parallel with the PhD to reinforce the experimental aspects of the project and assist in the maintenance, testing, and data collection on the Kangaroo robot throughout the thesis. This flexibility ensures that the candidate and the research team can make the most effective use of the available resources depending on the project’s development timeline. The proposed research follows a progressive methodology combining simulation-based pretraining, real-world learning, and iterative adaptation. The first phase will consist of training locomotion policies on an existing bipedal simulation model, using modern physics engines such as MuJoCo or Isaac Gym. The simulation parameters will be carefully identified from real robot data [IdRL2025], following methodologies successfully applied to the Bipetto robot at LAAS-CNRS. The specific actuation transmission of Kangaroo will be explicitly modeled to capture its unique mechanical characteristics [Kangaroo24, KangarooRL25]. The main objective of this phase is to obtain a baseline policy capable of generating simple yet stable locomotion behaviors that can be safely transferred to the real hardware. Building on the initial deployment, the research will then focus on residual learning approaches, where small, task-specific neural networks are trained directly on the real robot to refine the pretrained policy [ResidualRL19, RLPT24]. These residual models will adapt the baseline controller to compensate for unmodeled dynamics, sensor drift, and contact uncertainties. The workflow will follow an iterative cycle alternating between simulation and hardware: simulation phases will enable massive data collection and large-scale policy optimization, while short and safe experimental sessions on the robot will provide sparse but high-value data to progressively refine the model and improve transferability. If relevant or necessary, we may also consider iterating on a pre-trained world model, initizalized in simulation and then fine tuned on the real robot while running the latest iteration of the policy [FineTune25,WM25]. Alternatively, the project will explore direct training on the robot using off-policy reinforcement learning algorithms [20min22, 8min25]. These methods target real-world learning without relying on simulation or explicit modeling, and have recently shown promising results on quadruped platforms. The key scientific challenge will be to adapt these approaches to bipedal locomotion, where data collection is inherently riskier and safety constraints are more stringent. This part of the study will provide insights into how to efficiently and safely gather real-world data for humanoid control, contributing to the broader understanding of reinforcement learning on complex robotic systems. Overall, the project aims to deliver both theoretical and practical advances: a framework for reinforcement learning that goes beyond the traditional sim-to-real paradigm, validated on an industrial-grade bipedal platform. The work will produce fundamental methodological contributions suitable for publication in top-tier robotics and machine learning venues, supported by open-source software developments. On the industrial side, the project will demonstrate the capabilities of Kangaroo through highly visible experimental achievements, potentially extending beyond standard bipedal walking toward dynamic, whole-body movements such as jumps or parkour-like motions. These demonstrations will enhance both scientific impact and public visibility, strengthening the collaboration between PAL Robotics and the academic partners Qualifications MSc degree in Computer Science, Robotics, Artificial Intelligence, or a closely related field Excellent programming skills in C++ and solid proficiency in Python Proven experience with ROS (Robot Operating System) Strong understanding of locomotion control for legged or humanoid robots. Experience with simulation tools such as MuJoCo, Isaac Gym, PyBullet, or Gazebo Knowledge of reinforcement learning methods for robot control. Experience in software development under Linux-based operating systems Strong team-working skills and a proactive attitude

Responsibilities

The PhD thesis will focus on developing and deploying locomotion controllers on the bipedal robot Kangaroo using reinforcement learning techniques. The project aims to study the gap between simulation and physical reality and propose novel learning-based control strategies.

PhD Project Proposal – CIFRE Collaboration with PAL Robotics at pal robotics

Toulouse, Occitania, France - Full Time

Experience Required
Minimum 2 year(s)

Pflichtpraktikum im HR Planning & Controlling at Bosch Group

Gerlingen, Baden-Württemberg, Germany - Full Time

Senior Principal Engineer- End-to-End AI Training Framework at Bosch Group

Sunnyvale, California, United States - Full Time

Experience Required
Minimum 10 year(s)

Stage - Implémentation d'un Deep Equilibrium dans un GNN pour l'Opération d at RTE

Paris, Ile-de-France, France - Full Time

OT Platform/Cyber Engineer at GE Vernova

Providence Township, Virginia, United States - Full Time

Data Analyst - Internal Audit Services at Valley Bank

Morristown, New Jersey, United States - Full Time

Experience Required
Minimum 2 year(s)

Design Modeling Manager - Digital Sculpting at Ford Global Career Site

Dearborn, Michigan, United States - Full Time

Experience Required
Minimum 5 year(s)

AIM Associate - Investment Analytics | Fully Onsite at Allianz Technology

Saint Louis Park, Minnesota, United States - Full Time

Experience Required
Minimum 2 year(s)

Senior Actuarial Analyst-Risk | Hybrid at Allianz Technology

Saint Louis Park, Minnesota, United States - Full Time

Experience Required
Minimum 2 year(s)

Stage de fin d’études Consultant(e) Compliance at Sia Partners - United Kingdom

Paris, Ile-de-France, France - Full Time

Consultant(e) Procurement at Sia Partners - United Kingdom

Paris, Ile-de-France, France - Full Time

Payroll Specialist at Allianz Technology

Chicago, Illinois, United States - Full Time

Experience Required
Minimum 2 year(s)

Investor - AI at Samsung Next

Mountain View, California, United States - Full Time

Experience Required
Minimum 2 year(s)

Principal Data, AI/ML Engineer at Simple Technology Solutions

, , - Full Time

Experience Required
Minimum 10 year(s)

Master Thesis: Data-Driven Network KPI Prediction for Mobile Robots at Ericsson

Stockholm, , Sweden - Full Time

Manager R and D Incentives at Ericsson

Indaiatuba, São Paulo, Brazil - Full Time

Skills Needed
Telecommunications Networks, Artificial Intelligence, Virtual Reality, Augmented Reality, Engineering, Computer Science, Confidentiality, English Proficiency

Experience Required
Minimum 2 year(s)

Stagiaire - Auditeur Financier - Lille – Septembre 2026 (H/F) at MAZARS

Villeneuve-d'Ascq, Hauts-de-France, France - Full Time

Freelance Quality Assurance Annotator (Japanese) at Toloka Annotators

Austin, Texas, United States - Full Time

Experience Required
Minimum 2 year(s)

Audit Team Member at Allianz Technology

, , Turkey - Full Time

Senior Consultant Risk Management & Internal Control at KPMG Nederland

Amstelveen, North Holland, Netherlands - Full Time

Experience Required
Minimum 2 year(s)