Workshop series on machine learning applications in material science

We announce the launch of a work­shop series for Ear­ly Career Researchers in Mate­r­i­al Sci­ence.

This work­shop series aims to intro­duce ear­ly career researchers (ECRs) in mate­ri­als sci­ence to fun­da­men­tal machine learn­ing con­cepts, as well as tools and tech­niques for apply­ing machine learn­ing approach­es to their work, includ­ing han­dling and shar­ing data as well as build­ing machine learn­ing and deep learn­ing mod­els.

These work­shops, co-organ­ised by Mate­r­i­al Pio­neersOpen Sci­ence Com­mu­ni­ty Delft and 4TU.ResearchData, are designed for ECRs in the field of mate­ri­als sci­ence (PhD can­di­dates, post­docs, assis­tant professors/research asso­ciates): through group inter­views and sur­veys, com­mu­ni­ty mem­bers have helped us under­stand mate­r­i­al sci­ence ECRs’ needs and inter­ests, as well as vol­un­teered to help instruct in/support these work­shops. We would like to use this oppor­tu­ni­ty to thank every­one who con­tributed!

The work­shops are open for all ECRs in mate­r­i­al sci­ence world­wide. They will take place online via Zoom.

We invite you and your col­leagues to find out more about and reg­is­ter to par­tic­i­pate in these work­shops through our Eventbrite pages:

Reg­is­tra­tion for each work­shop will close when work­shop capac­i­ty has been reached, or at the lat­est 3 days before the work­shop.

Please don’t hes­i­tate to con­tact Alessan­dra at a [dot] soro [at] vspar­ti­cle [dot] com if you have any ques­tions about the work­shops!

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