Providing artificial intelligence tools and applying machine learning methodologies to solve real-world engineering problems — grounded in data, guided by science.
IM is dedicated to providing artificial intelligence tools and applying machine learning methodologies to engineering problems.
Our team consists of people with technical background in the field and our studies are supervised by academic staff.
Our duty is to develop data processing tools and services in technical fields that enables professionals gather meaningful insights for their field of work.
Our principles in design are based on user's demands first and shaped within their experiences.
We believe artificial intelligence is the key technology that enables humans to perceive collective knowledge which they create and output.
We see artificial intelligence as a collaborator that will help humans take a leap in their productivity and in their creativity by aiding their perception and ability to process data.
Using machine learning methods to uncover patterns and synthesise meaningful insights from complex technical datasets.
Incorporating diverse tasks, sample sizes, material systems, and data heterogeneity to build robust benchmark datasets.
Creating design of systems through data augmentation and generative modelling — expanding possibilities beyond observed data.
Maximising model performance where labelled data is scarce — critical for specialised engineering and scientific fields.
Complete cell component materials design for all chemistries including cathodes for lithium-ion batteries.
Full resolution of plasma chemistry applied to materials synthesis.
Use of pressure instead of temperature to alter phases and crystal structures of materials for dedicated application niches.
Development of computationally efficient surrogate models and digital twins for real-time simulation and predictive control of complex material systems.
IM is seeking for experienced, talented and creative scientists and engineers as staff members to develop and apply innovative artificial intelligence methodologies to a wide range of industrial and commercial applications in technical fields.
We, at IM, are interested in challenging projects and we value openness in exchanging creative ideas at our casual but accountable environment where hard work and smart decisions are rewarded in a way that promotes teamwork and commitment. We keep things highly dependent on responsibility and low on bureaucracy.
We provide meetings in open office environment and prefer remote working options. As we encourage free work, we strictly seek for disciplined individuals who work within schedules and do follow-up their duties in given time frames.
If you believe you will fit in our working environment do not hesitate to send your resume to secretary@intelligentmethods.tech. Your CV should include your educational degrees, talents and skills you would bring, relevant software packages you can use, along with your level of expertise for each, your employment history, and relevant individuals whom we can call for references.
We are happy to discuss collaboration opportunities, answer questions about our services, or explore how we can apply intelligent methods to your field of work.