One Tenure-Track Position in Humanoid Robot Control & Locomotion

Start Mon, 01 Jun 2020 End Mon, 31 Aug 2020

Istituto Italiano di Tecnologia (IIT) is pleased to announce a new tenure-track opening (open rank).

IIT seeks a dynamic, highly motivated, independent and innovative researcher to join its community of scientists and technologists engaged in cutting-edge research and development. Candidates must be creative thinkers who overcome traditional scientific boundaries, with the overarching goal of melding science and technology to improve human health, welfare and sustainability.

IIT has state-of-the-art facilities and has rapidly established itself among top research institutes worldwide. IIT has a strongly international character, with more than 50% of the scientific staff coming from over 60 countries worldwide.

The new tenure-track scientist will be intellectually and financially independent (i.e., independent principal investigator) and will enjoy world-class start-up and operational funding, as well as internationally competitive salary and benefits. IIT also strongly encourages and assists its scientists in expanding their research scope by obtaining independent external support from national, European and international funding agencies.

Hiring procedures of IIT are based solely on scientific credentials, and our search committees include external members from foreign institutions to provide diverse, independent perspectives. We encourage non-Italians and Italians, both abroad and in Italy, to apply.

For further information about our Tenure Track, please send an email to

For information about IIT in general please visit

For information about careers and working conditions at IIT please visit

Application procedure:

To apply for the position candidates should submit a single PDF file containing:

  1. C.V., including list of published papers (with evidence of the 5 most representative publications), patents, and research grants directly awarded to the candidate (as principal investigator or work-package coordinator);
  2. 3-page research statement containing a summary of previous research contributions and a description of plans for future work.

Applicants should also provide names and contact information of three references, familiar with the applicant’s research accomplishments, to prepare letters of recommendation. For junior faculty applicants, the references will usually include the applicant’s PhD and postdoctoral advisor(s).

The reference letters must be directly uploaded by their authors on the candidate’s application page and will be made visible to the candidate.

Please note that the system allows candidates to submit complete applications only (i.e.: evaluation package and referees’ contact details). Partially completed applications or registrations will not be considered.

Deadline for submission of applications is August 31st 2020
Deadline for submission of reference letters is September 15th 2020

Shortlisted candidates will be invited for an interview by the end of the year.


Please note that the data you provide for this application will be exclusively used to evaluate and select professional profiles and meet the requirements of Istituto Italiano di Tecnologia.

Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as the Data Controller, in compliance with the rules on the protection of personal data, including those related to data security.

Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may at any time exercise your rights by contacting the Data Protection Officer (phone +39 010 28961 - email: dpo[at]

The IIT is an Equal Opportunity Employer that actively seeks diversity in the workforce.

Open positions

  • Humanoid Robot Control & Locomotion


    IIT is looking for candidates with outstanding track records in HUMANOID ROBOT CONTROL & LOCOMOTION

    Recent advances in legged robot research aim to bring robots into the real world, which is complex, unstructured, cluttered and dynamic, and to enable operations in various scenarios requiring human-like levels of agility, dexterity, robustness, reliability and manipulation/locomotion. The successful candidate will run an independent research program and work in close collaboration with the research teams located at IIT Center for Robotics and Intelligent Systems that have developed the iCub, COMAN, R1, and WalkMan humanoid robots. Candidates should have a strong and highly visible research profile in one or more of the following research areas:

    • Humanoid and Multi-modal Robotics
    • Whole-Body Motion Planning
    • Foot step planning and gait generation Navigation and Path Planning
    • Rough Terrain Locomotion
    • State estimation for legged robots
    • Legged Locomotion and Real-time Locomotion Control
    • Impedance and physical interaction control for redundant robots
    • Optimal control and/or reinforcement learning
    • Real-time algorithms for planning and control of robot motion
    • High-dimensional search in discrete-continuous configuration spaces
    • Planning in complex and high dimensional environments


    The candidate should have the capacity to develop theoretical principles, extending this into computational control methods and systems designed for applications in unstructured, complex, real world scenarios such as households and public spaces, construction sites, unstructured industrial environments, outdoor natural domains and disaster areas. Candidates should hold a PhD degree and relevant postdoctoral experience, as well as an excellent international record of accomplishments (publications, etc.) in engineering or related fields with a specialization in robotics systems. The candidate is required to show both excellent theoretical undertakings as well as validation in real robotic platforms (not only simulations) and is expected to provide evidence of independent research, potential to lead a world class research group and ability to acquire research funding.

    A Ph.D. or equivalent graduate degree, as well as relevant postdoctoral experience are required at the time of application.