
NTNU - Norwegian University of Science and Technology · Trondheim
This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three ci...
NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.
At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.
You will find more information about working at NTNU and the application process here.
Robotic autonomy still lacks a universal architectural blueprint capable of operating across the wide diversity of robot configurations found in aerial, ground, and aquatic domains. Today’s autonomy stacks remain highly specialized to each morphology, in sharp contrast to the conserved neural organization of the mammalian brain, which provides a common computational blueprint across species despite profound differences in body plan and ecological niche. Motivated by this analogy – and building on recent advances in foundation models, neural model predictive control, and robotic world models – this PhD project will investigate principles and mechanisms for a shared autonomy architecture that generalizes across embodiments. The overarching ambition is to advance the foundations of a universal science of embodied AI, where perception, action, and learning are co-designed to support intelligent behavior in robots of fundamentally different forms.
The PhD candidate will be supervised by Kostas Alexis, head of the Autonomous Robots Lab (ARL), and the position is part of the recently-funded Norwegian Centre for Embodied AI.
Join a nation-wide team: The Norwegian Centre for Embodied AI (NCEI), one of Norway’s six national AI centers, is recruiting outstanding researchers to advance a universal science of embodied intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges from the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a generalizable path for physical AI and transform how robot morphology and autonomy are co-designed, enabling new generations of systems tailored to their operational environments and missions. Successful candidates will join an international community with world-class facilities and strong collaborations across Norwegian universities, research institutes, industry, public agencies, and leading global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier.
Duties of the position
Be prepared for changes to your work duties after employment.
Required selection criteria
The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU)for general criteria for the position.
Preferred selection criteria
To complete a doctoral degree (PhD), it is important that you are able to:
Emphasis will be placed on personal qualities.
We offer
As a PhD Candidate at NTNU, you will have access to employee benefits.
Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals.
We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education.
If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.
At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality.
In the position of PhD Candidate, code 1017, your gross salary will normally be from NOK 550 800,- per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary.
The employment period is 3 years.
For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD program in Engineering Cybernetics within three months of your employment contract start date, and that you participate in an organized doctoral program throughout the period of employment.
The position is conditional on external funding.
As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.
For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.
The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed.
The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English.
Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.
If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both Bachelor's and Master's education, in addition to other higher education. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.
Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation.
When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates.
NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).
A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the exemption is not granted.
If you think this position looks interesting and in line with your qualifications, you are welcome to apply.
If you have any questions about the position, please contact Professor Konstantinos Alexis, email: konstantinos.alexis@ntnu.no . If you have any questions about the recruitment process, please contact HR Consultant Berit Dahl, e-mail: berit.dahl@ntnu.no .
For practical information about working at NTNU, please visit this webpage.
The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.
This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. Video: https://youtu.be/Xt-yHCN5QS0About the position Foundation models represent one of the most promising avenues pushing the frontier of robot autonomy. Aiming to break new ground this PhD project focuses on developing novel foundation models for underwater robot perception and navigation. The aim is twofold: to advance foundation-model capabilities within the underwater domain, and to ensure that a unified modelling approach can operate across robot embodiments – air, ground, and marine. Achieving this requires new simulation tools, scalable neural architectures for perception and navigation that generalize across robot types, modeling of light effects underwater, and high-quality underwater datasets, both synthetic and real. The project will leverage the extensive underwater robotics infrastructure at NTNU and the Norwegian Centre for Embodied AI. The PhD candidate will be supervised by Kostas Alexis, head of the Autonomous Robots Lab (ARL), and the position is part of the recently-funded Norwegian Centre for Embodied AI. About the project Join a nation-wide team: The Norwegian Centre for Embodied AI (NCEI), one of Norway’s six national AI centers, is recruiting outstanding researchers to advance a universal science of embodied intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges from the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a generalizable path for physical AI and transform how robot morphology and autonomy are co-designed, enabling new generations of systems tailored to their operational environments and missions. Successful candidates will join an international community with world-class facilities and strong collaborations across Norwegian universities, research institutes, industry, public agencies, and leading global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier. Duties of the position • Fundamental contributions in foundation models for underwater robotics. • Focus on implementable methods for onboard robotic autonomy. • Experimental deployments and field evaluation of the conducted research. • Complete your doctoral education leading to the PhD degree. • Conduct and publish research of high-quality within the framework described above. • Participate in international activities such as conferences and/or research stays abroad. • Collaborate with other researchers within the department, and across departments at NTNU. • Supervise master’s thesis students related to the project. Be prepared for changes to your work duties after employment. Required selection criteria • You must have a Master's degree in cybernetics, control systems, or equivalent, with a strong training in robotics or computer vision or machine learning. • Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level. • You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education. • You must meet the requirements for admission to the faculty's doctoral program (see: https://www.ntnu.edu/ie/research/phd). • You must meet the requirements for admission to the IE Faculty. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU)for general criteria for the position. Preferred selection criteria • Solid theoretical background in robot perception and navigation. • Deep foundation in modern machine learning. • Solid programming skills in C++ and Python. Experience with ROS is a plus. • Experience with simulators for robotic systems. • Experience with implementation of real-life robotic systems. • Strong skills in mathematics, excellent capacity for mathematical formalism, and ability to grasp new concepts quickly. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: • Be scientifically curious and open to new research challenges. • Demonstrate independence and persistence in addressing technical problems. • Be flexible and reliable, with ability to work effectively independently and as part of a team. Emphasis will be placed on personal qualities. We offer • An exciting job with an important mission in society • Developing tasks in a strong and international professional environment • Career guidance and follow-up during the PhD period • Open and inclusive working environment with committed colleagues • Working capital that can be used to implement the project • Mentor programme as a new employee at NTNU • Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK) As a PhD Candidate at NTNU, you will have access to employee benefits. Diversity Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education. If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time. At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality. Salary and conditions In the position of PhD Candidate, code 1017, your gross salary will normally be from NOK 550 800,- per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD program in Engineering Cybernetics within three months of your employment contract start date, and that you participate in an organized doctoral program throughout the period of employment. The position is conditional on external funding. As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed. About the application The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English. Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request. The application must include: • Transcripts and diplomas for Bachelor's and Master's degrees. Documentation of a completed Master's degree must be presented before taking up the position. • CV • Short letter of motivation (400 words/1 page) • Names and contact information of minimum 2 relevant referees If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both Bachelor's and Master's education, in addition to other higher education. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well. Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation. When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates. NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission). General information A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the exemption is not granted. If you think this position looks interesting and in line with your qualifications, you are welcome to apply. If you have any questions about the position, please contact Professor Konstantinos Alexis, email: konstantinos.alexis@ntnu.no . If you have any questions about the recruitment process, please contact HR Consultant Berit Dahl, e-mail: berit.dahl@ntnu.no . Application deadline: 25.08.2026. For practical information about working at NTNU, please visit this webpage. The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.
Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge. A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors. YOUR RESPONSIBILITIES WILL INCLUDE: * Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph. * Creating datasets, metrics, and benchmarks that drive measurable improvements across the system. * Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production. * Collaborating with JetBrains Research and external academic advisors to shape our research agenda. * Publishing research findings at top venues and representing Spectrum in the research community. WE EXPECT YOU TO HAVE: * A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field. * A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP. * Experience applying LLMs to structured knowledge extraction tasks. * Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation. * Strong Python and PyTorch skills, with the ability to implement research ideas from scratch. * Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences. * Proficiency in English, both written and verbal. OUR IDEAL CANDIDATE WOULD ALSO HAVE: * Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment. * A background in code analysis, developer tools, or software engineering research. * Experience with knowledge graph embedding methods or graph neural networks. * Experience in early-stage startups – you enjoy the zero-to-one phase. * Actively contributed to relevant open-source projects. WHAT WE OFFER: * A competitive salary and JetBrains benefits. * A generous runway and corporate resources with startup autonomy. * Full support for publishing ML research and attending industry conferences. * Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community. * A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership. * A rare applied research role where your methods ship in a real product used by software teams. WHY JOIN JETBRAINS? * Strong base salary. We offer competitive pay that reflects your skills and experience. * Flexible work location. Enjoy the freedom to work from home or from the office. * Remote work. Spend up to 30 days per year working remotely from abroad. * Extra time off. More days to relax, recharge, and do the things you love. * Medical insurance allowance. Enjoy peace of mind for you and your family * Learning and development opportunities. Access to conferences, courses, and language classes. * Language classes. Pick up the local language or sharpen your English skills. * Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. * Mental health support. To help you feel your best, we provide easy access to professional mental health services. * Sports benefit. Enjoy an on-site gym or sports club stipend. * Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
YOUR WORK WILL CHANGE LIVES. INCLUDING YOUR OWN. The Impact You’ll Make You will join an innovative and passionate clinical development team dedicated to improving the lives of patients suffering from devastating diseases. You will lead the innovative clinical pharmacology and pharmacometrics strategy and execution for a portfolio of rare disease and oncology clinical programs. In this role, you will: * Develop the clinical pharmacology and pharmacometric strategies to accelerate and support the overall product development plan. You’ll be the Clinical Pharmacology lead for various programs in clinical development, the representative for regulatory interactions, and propose innovative strategies to get therapies to patients faster. * Design clinical studies. You’ll provide (clinical) pharmacology input on all clinical study designs, from Phase 1-3 and dedicated Phase 1 clinical pharmacology studies. * Author review relevant clinical pharmacology sections for regulatory documents, including Investigator's Brochures (IB), INDs, NDAs, and other regulatory submissions. Act as the clinical pharmacology expert during interactions with health authorities. * Interface with cross-functional teams. You’ll work closely with clinical study teams, translational teams (DMPK, Translational Modeling and Toxicology), preclinical teams and due diligence teams to ensure clinical pharmacology-related considerations are addressed. * Solve drug development questions/problems by overseeing and/or performing modeling and simulation with various tools to expedite decision making. The Team You’ll Join You will join the Development Sciences team within Recursion comprising clinical pharmacology, pharmacometrics, translational modeling and clinical biomarkers. The Development Sciences group sits within Recursion’s Clinical Development organization. Team members get to sit on both Discovery and Development projects and work in a seamless end-to-end environment at Recursion. The team collaborates closely with clinical development functions (clinical science, clinical operations, regulatory affairs, biostatistics, etc.), as well as discovery functions (DMPK, Biology, Chemistry and Translational Biomarkers). The Experience You’ll Need * Ph.D. in Pharmaceutical Sciences, Pharmacokinetics or related discipline, M.D with a Clinical Pharmacology expertise, or a Pharm D. with a Clinical Pharmacology fellowship, with 5-9+ years of experience in biotech/pharmaceutical drug development. * Demonstrated success leading all clinical pharmacology related aspects of drug development. * Ability to work closely with internal and external stakeholders to manage PK, PK-PD, and PK-safety analyses, including non-compartmental analysis, population PK modeling, and PK-PD modeling and simulations to support dose selection, exposure-response and exposure-safety analyses through various phases of drug development. * Proficiency with WinNonlin, Monolix, NONMEM, R or other modeling software. * Effective skills directed toward driving collaboration, achieving results, influencing, and resolving conflicts across internal and external stakeholders * Demonstrated experience responding to regulatory agency questions, preparing clinical pharmacology aspects of regulatory submissions and attending regulatory meetings. * Highly motivated, decisive, and results-oriented individual who is proactive, resourceful, and efficient with the flexibility and creativity to excel in and contribute to a rapidly growing drug discovery and development company Experience in oncology is preferred, but not an absolute requirement. Working Location & Compensation: Making London or Oxford (Milton Park) your home base is ideal; however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: £118,300–£136,500. In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. #LI-REMOTE #LI-ES1 The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com [https://www.globenewswire.com/Tracker?data=RX8_3OmD5YHn9KPS0dIZWI5SJTXw7o78IX71mdHWAptB3UnjQ7VNutoXIyTbG5D_sBzYYsRPGsSI2UDwEODguVwc0tsA_7kbn2hIXe7Xb8g=], or connect on X [https://www.globenewswire.com/Tracker?data=PEN8v5P4NfB9Je1Ehd4M665lSNOQWhGtMQkvFASBLBI-jFZV3X4qcj21uQ1akOvCKbQGxe8fC1gw7KzH_yFxhw==] and LinkedIn [https://www.globenewswire.com/Tracker?data=NZ3-__S7n3thuUCJDwe4LbKB3mL3beP5InfKrkM-PaMYe7yHWExchDgzH5kpuanTnSQt567E9X4FJ-sc4RRSbXAPzNGE7JsoG7bLhL2f84LlAk2rLmDecui7soYSVpUY]. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. ---------------------------------------------------------------------------------------------------------------------------------- RECURSION LEVERAGES AI IN OUR HIRING PROCESS. WE USE GREENHOUSE'S TALENT MATCHING AI TECHNOLOGY FEATURE TO HELP REVIEW APPLICATIONS AGAINST THE SKILLS AND EXPERIENCE WE'VE IDENTIFIED AS IMPORTANT FOR THIS ROLE. IT ANALYZES YOUR RESUME AND APPLICATION RESPONSES TO ASSESS HOW CLOSELY YOUR QUALIFICATIONS MATCH OUR CRITERIA - BUT ALL DECISIONS ARE MADE BY OUR HUMAN RECRUITERS AND HIRING MANAGERS, INCLUDING WHETHER TO MOVE TO THE NEXT PHASE OF REVIEW. TALENT MATCHING DOES NOT AUTOMATICALLY ADVANCE OR REJECT ANY CANDIDATE. BY SUBMITTING YOUR APPLICATION, YOU ACKNOWLEDGE THAT YOU HAVE BEEN INFORMED ABOUT AND CONSENT TO THIS USE OF THE TALENT MATCHING TOOL IN OUR REVIEW PROCESS. PLEASE REFER TO OUR RECURSION PRIVACY POLICY AT HTTPS://WWW.RECURSION.COM/PRIVACY-NOTICE/ [https://www.recursion.com/privacy-notice/] FOR MORE INFORMATION ABOUT OUR PROCESSING OF PERSONAL DATA AND YOUR RIGHTS. RECRUITMENT & STAFFING AGENCIES: RECURSION PHARMACEUTICALS AND ITS AFFILIATE COMPANIES DO NOT ACCEPT RESUMES FROM ANY SOURCE OTHER THAN CANDIDATES. THE SUBMISSION OF RESUMES BY RECRUITMENT OR STAFFING AGENCIES TO RECURSION OR ITS EMPLOYEES IS STRICTLY PROHIBITED UNLESS CONTACTED DIRECTLY BY RECURSION’S INTERNAL TALENT ACQUISITION TEAM. ANY RESUME SUBMITTED BY AN AGENCY IN THE ABSENCE OF A SIGNED AGREEMENT WILL AUTOMATICALLY BECOME THE PROPERTY OF RECURSION, AND RECURSION WILL NOT OWE ANY REFERRAL OR OTHER FEES. OUR TEAM WILL COMMUNICATE DIRECTLY WITH CANDIDATES WHO ARE NOT REPRESENTED BY AN AGENT OR INTERMEDIARY UNLESS OTHERWISE AGREED TO PRIOR TO INTERVIEWING FOR THE JOB.