Contact DMCIT for Research Inquiries and Collaborations

Ways to Get in Touch

The fastest route to us is email. Send a note to [email protected] and it will land with the team member best placed to answer.

We read everything that comes in. Most messages get a reply within a few working days, though queries that need input from several researchers occasionally take longer. If your question is time-sensitive, say so in the subject line and we will treat it accordingly.

A short note about what helps us help you: be concrete. "I'm a master's student interested in your distributed-systems track and want to know about supervision capacity for autumn" gets a useful answer. "Tell me about your research" usually generates a link back to the page you are already reading. The more context you give us about who you are and what you are trying to do, the better the response.

Guidance for Prospective Researchers

If you are considering doctoral or postdoctoral work with us, the strongest applications start with a focused email rather than a generic CV blast.

Here is what we actually look at when a prospective researcher reaches out:

• A specific research interest. Name the problem that pulls you, not just the field. We can tell within a paragraph whether someone has read our recent output or is sending the same message to forty groups.
• Evidence you've done something. A thesis chapter, a published preprint, a working repository — anything that shows how you think on a real problem carries more weight than a polished statement of purpose.
• An honest sense of fit. Tell us why our group, specifically. If your interests sit at the edge of what we do, say that too; sometimes the edges are exactly where the interesting collaborations form.

Funding and supervision capacity shift from term to term, so we cannot promise a position in advance. What we can promise is a straight answer about whether your direction overlaps with ours and who you should talk to next. If we are not the right home for your work, we will usually point you toward someone who is.

Partnership and Collaboration Opportunities

Collaboration takes more than one form here, and the right starting point depends on what you are bringing to the table.

Academic partners typically approach us with a shared research question or a complementary method. These conversations work best when both sides already have something concrete — a dataset, a problem instance, a half-finished model. Our most productive joint efforts have grown out of a single well-posed question rather than a broad memorandum of intent.

Industry partners tend to arrive with a problem and a constraint: a system that doesn't scale, a measurement that doesn't reconcile, a process that resists automation. We work on these as research, which means we care about why something behaves the way it does, not only about patching it. That framing suits some organizations better than others, and it is worth naming early.

We have run multi-year collaborations alongside university groups and shorter, scoped engagements with applied teams. Both can produce good work. The difference is mostly about timeline and how much of the result becomes public. If you have a preference there, mention it in your first message so we can be candid about what fits.

To open a discussion, write to [email protected] with a one-paragraph sketch of the problem and what success would look like for you. That single paragraph saves weeks of circling.

Lab Visitation Protocols

We welcome visitors, and we schedule them deliberately rather than spontaneously.

Visits are arranged by appointment so that the people you came to see are actually present and not buried in a deadline. A lab tour that coincides with a submission crunch helps no one. Reach out at least a couple of weeks ahead if you can, and tell us what you hope to get from the visit — a demonstration, a discussion of a particular technique, or a broader look at how the group operates.

Some work areas involve equipment or ongoing experiments with access conditions, so part of the planning is simply matching your interests to what we can show on a given day. We will tell you in advance what is feasible. None of this is meant to be a barrier; it is how we make sure a visit is worth your travel.

Prospective students often ask whether a visit improves their application. It does not change how we assess the work, but it does help both sides judge fit, and fit is what makes a multi-year project bearable. If you are coming from abroad, let us know your constraints and we will do our best to work around them.

For anything not covered here, including how we handle the information you share with us, see our Privacy Policy and Terms of Use. For everything else, the inbox is open: [email protected].